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Guangdong Silvere Sci and Tech
Buy, Hold or Sell?

Let's analyze Guangdong Silvere Sci and Tech together

I guess you are interested in Guangdong Silvere Sci and Tech. Buy, hold or sell? I don't know! However, I do recommend doing research before doing anything. I will help you with that.

I'm going to help you getting a better view of Guangdong Silvere Sci and Tech. At the end you don't have to ask anyone for trading advice. You can make your own decision, with more confidence, the odds in your favor, backed by data.

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1. Quick Overview

1.1. Quick analysis of Guangdong Silvere Sci and Tech (30 sec.)










1.2. What can you expect buying and holding a share of Guangdong Silvere Sci and Tech? (30 sec.)

How much money do you get?

How much money do you get?
¥0.00
When do you have the money?
1 year
How often do you get paid?
100.0%

What is your share worth?

Current worth
¥2.80
Expected worth in 1 year
¥2.88
How sure are you?
80.0%

+ What do you gain per year?

Total Gains per Share
¥0.09
Return On Investment
1.5%

For what price can you sell your share?

Current Price per Share
¥5.87
Expected price per share
¥4.4 - ¥7.5
How sure are you?
50%
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2. Detailed Analysis

2.1. Valuation of Guangdong Silvere Sci and Tech (5 min.)




Live pricePrice per Share (EOD)
¥5.87
Intrinsic Value Per Share
¥-11.61 - ¥-13.91
Total Value Per Share
¥-8.82 - ¥-11.11

2.2. Growth of Guangdong Silvere Sci and Tech (5 min.)




Is Guangdong Silvere Sci and Tech growing?

Current yearPrevious yearGrowGrow %
How rich?$184.7m$176.5m$7.5m4.1%

How much money is Guangdong Silvere Sci and Tech making?

Current yearPrevious yearGrowGrow %
Making money$1.2m$807k$470.1k36.8%
Net Profit Margin2.0%1.5%--

How much money comes from the company's main activities?

2.3. Financial Health of Guangdong Silvere Sci and Tech (5 min.)




2.4. Comparing to competitors in the Specialty Chemicals industry (5 min.)




  Industry Rankings (Specialty Chemicals)  


Richest
#291 / 553

Most Revenue
#316 / 553

Most Profit
#330 / 553

Most Efficient
#328 / 553
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3. Summary and Key Metrics

3.1. What can you expect buying and holding a share of Guangdong Silvere Sci and Tech?

Welcome investor! Guangdong Silvere Sci and Tech's management wants to use your money to grow the business. In return you get a share of Guangdong Silvere Sci and Tech.

First you should know what it really means to hold a share of Guangdong Silvere Sci and Tech. And how you can make/lose money.

Speculation

The Price per Share of Guangdong Silvere Sci and Tech is ¥5.87. The market price reflects what other people think it is worth; not what it's really worth. Your job is to find out if the market price is fair, overpriced, or underpriced. I will help you with that.

If you buy blind, there is a 50% chance of making or losing money by selling the stock in the future. However, we can look at a few things to determine the odds in our favor:

  • The fundamentals: the financial health trends of Guangdong Silvere Sci and Tech.
  • The technials: based on market psychology, we can make a calculated estimate of what the price will do in the future. We can do this through technical analysis. We can calculate the probabilities and the expected value (millionaire math). That's called speculation.
  • The book value: what is the market price compared to it's book value.

Investing

If you really want to invest in Guangdong Silvere Sci and Tech, you will have to let go of the thought of selling in the future. If you have to sell the share for less than you bought it, it can still be a good investment. Focus on what it means to hold the stock forever:

  • You own a part of the company. The equity of this part can grow or shrink. The current Book Value per Share is ¥2.80. Based on the TTM, the Book Value Change Per Share is ¥0.02 per quarter. Based on the YOY, the Book Value Change Per Share is ¥0.05 per quarter.
  • You may receive quarterly/yearly dividend in the form of additional shares.
  • You may receive quarterly/yearly dividend in the form of cash. Based on the TTM the Dividend per Share is ¥0.00 per quarter.
Based on historical numbers we can estimate the returns while holding a share of Guangdong Silvere Sci and Tech.

How much money are you going to get?

 MRQTTMYOY5Y10Y
 ¥% of Price per Share¥% of Price per Share¥% of Price per Share¥% of Price per Share¥% of Price per Share
Usd Eps0.010.1%0.000.0%0.000.0%0.000.0%0.000.0%
Usd Book Value Change Per Share0.000.0%0.000.0%0.010.1%0.000.1%0.000.1%
Usd Dividend Per Share0.000.0%0.000.0%0.000.0%0.000.0%0.000.1%
Usd Total Gains Per Share0.000.0%0.000.1%0.010.1%0.000.1%0.010.1%
Usd Price Per Share0.73-0.77-0.72-0.84-1.40-
Price to Earnings Ratio26.27-627.13-185.55-147.05-124.87-
Price-to-Total Gains Ratio376.14-639.22-150.06-183.67-100.78-
Price to Book Ratio1.88-2.00-1.95-2.47-4.49-
Price-to-Total Gains Ratio376.14-639.22-150.06-183.67-100.78-

When do you get the money?

Usd Investment
$.00
Usd Price Per Share0.811821
Number of shares1231
Gains per QuarterTrailing 12 Months5 Year
Usd Dividend Per Share0.000.00
Usd Book Value Change Per Share0.000.00
Usd Total Gains Per Share0.000.00
Gains per Quarter (1231 shares)3.805.32
Gains per Year (1231 shares)15.2121.29
YearsReturn on Investment (TTM)Return on Investment (5Y)
 DividendBook Value gainTotal gainsDividendBook Value gainTotal gains
Broker costs---10---10
1214531911
23272053732
35413585653
475450107574
586865139395
610818016112116
712959518131137
81310811021150158
91512212523168179
101713514026187200

How sure are you?

Based on the past periods, how sure are you to get value out of your investment.

Linear %
 Trailing 12 Months3Y5 Year10 YearALLTIME
  % % % % %
Earnings Per Share4.00.00.0100.0%10.02.00.083.3%15.05.00.075.0%31.09.00.077.5%44.09.01.081.5%
Book Value Change Per Share4.00.00.0100.0%12.00.00.0100.0%16.04.00.080.0%32.08.00.080.0%42.012.00.077.8%
Dividend per Share4.00.00.0100.0%12.00.00.0100.0%20.00.00.0100.0%40.00.00.0100.0%54.00.00.0100.0%
Total Gains per Share4.00.00.0100.0%12.00.00.0100.0%16.04.00.080.0%32.08.00.080.0%45.09.00.083.3%
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3.2. Key Performance Indicators

The key performance indicators of Guangdong Silvere Sci and Tech compared to the Most Recent Quarter (MRQ).

 End of day+/-Most Recent QuarterTrailing 12 Months+/-Year-Over-Year+/-5 Year+/-10 Year+/-
Book Value Change Per Share--0.0080.020-60%0.049-84%0.027-71%0.034-77%
Book Value Per Share--2.7962.786+0%2.672+5%2.476+13%2.649+6%
Current Ratio--1.7992.249-20%2.511-28%2.517-29%1.520+18%
Debt To Asset Ratio--0.3790.312+21%0.283+34%0.318+19%0.351+8%
Debt To Equity Ratio--0.6220.469+33%0.402+55%0.481+29%0.558+11%
Dividend Per Share--0.0060.002+150%0.001+704%0.004+60%0.029-79%
Eps--0.0500.019+159%0.012+310%0.018+182%-0.006+112%
Free Cash Flow Per Share---0.130-0.161+24%-0.017-87%-0.020-84%-0.001-99%
Free Cash Flow To Equity Per Share---0.130-0.161+24%-0.053-59%-0.044-66%0.006-2259%
Gross Profit Margin--1.0001.0000%1.0000%1.0000%1.0000%
Intrinsic Value_10Y_max---13.908--------
Intrinsic Value_10Y_min---11.613--------
Intrinsic Value_1Y_max---0.368--------
Intrinsic Value_1Y_min---0.361--------
Intrinsic Value_3Y_max---1.888--------
Intrinsic Value_3Y_min---1.786--------
Intrinsic Value_5Y_max---4.349--------
Intrinsic Value_5Y_min---3.970--------
Market Cap2804791566.080+10%2513322595.8402661446170.880-6%2496598966.400+1%2889843167.232-13%4849969388.368-48%
Net Profit Margin--0.0500.020+150%0.015+242%0.016+216%-0.008+115%
Operating Margin----0%0.018-100%0.013-100%-0.0090%
Operating Ratio--1.7711.798-1%1.807-2%1.813-2%1.460+21%
Pb Ratio2.100+10%1.8812.000-6%1.953-4%2.475-24%4.489-58%
Pe Ratio29.316+10%26.269627.134-96%185.550-86%147.045-82%124.871-79%
Price Per Share5.870+10%5.2605.570-6%5.225+1%6.048-13%10.122-48%
Price To Free Cash Flow Ratio-11.288-12%-10.115-8.921-12%-27.297+170%-15.762+56%-42.599+321%
Price To Total Gains Ratio419.761+10%376.140639.217-41%150.057+151%183.666+105%100.779+273%
Quick Ratio--0.7670.964-20%1.504-49%1.468-48%1.193-36%
Return On Assets--0.0110.005+144%0.003+239%0.005+128%-0.001+107%
Return On Equity--0.0180.007+159%0.005+294%0.007+149%-0.003+115%
Total Gains Per Share--0.0140.022-37%0.049-72%0.031-55%0.063-78%
Usd Book Value--184751492.950184085369.210+0%176571945.311+5%163607423.502+13%175980350.538+5%
Usd Book Value Change Per Share--0.0010.003-60%0.007-84%0.004-71%0.005-77%
Usd Book Value Per Share--0.3870.385+0%0.370+5%0.342+13%0.366+6%
Usd Dividend Per Share--0.0010.000+150%0.000+704%0.001+60%0.004-79%
Usd Eps--0.0070.003+159%0.002+310%0.002+182%-0.001+112%
Usd Free Cash Flow---8590686.207-10640360.599+24%-1150146.316-87%-1346898.238-84%-56434.783-99%
Usd Free Cash Flow Per Share---0.018-0.022+24%-0.002-87%-0.003-84%0.000-99%
Usd Free Cash Flow To Equity Per Share---0.018-0.022+24%-0.007-59%-0.006-66%0.001-2259%
Usd Market Cap387902673.589+10%347592515.005368078005.433-6%345279637.053+1%399665310.028-13%670750766.411-48%
Usd Price Per Share0.812+10%0.7270.770-6%0.723+1%0.836-13%1.400-48%
Usd Profit--3307966.8331277223.683+159%807083.178+310%1173426.509+182%-518023.933+116%
Usd Revenue--66314621.91761514735.152+8%57299877.302+16%62476591.091+6%61632688.003+8%
Usd Total Gains Per Share--0.0020.003-37%0.007-72%0.004-55%0.009-78%
 EOD+5 -3MRQTTM+22 -12YOY+19 -165Y+17 -1810Y+15 -19

3.3 Fundamental Score

Let's check the fundamental score of Guangdong Silvere Sci and Tech based on Penke's default stock scanner.

Penke's Stock Scanner

  
  
IndicatorConditionValue
Price to Earnings Ratio (EOD)Between0-1529.316
Price to Book Ratio (EOD)Between0-12.100
Net Profit Margin (MRQ)Greater than00.050
Operating Margin (MRQ)Greater than00.000
Quick Ratio (MRQ)Greater than10.767
Current Ratio (MRQ)Greater than11.799
Debt to Asset Ratio (MRQ)Less than10.379
Debt to Equity Ratio (MRQ)Less than10.622
Return on Equity (MRQ)Greater than0.150.018
Return on Assets (MRQ)Greater than0.050.011
Total4/10 (40.0%)

3.4 Technical Score

Let's check the technical score of Guangdong Silvere Sci and Tech based on Penke's default Symbol scanner.

Penke's Symbol Scanner

  
  
IndicatorConditionValue
OpenGreater thanClose6.320
Total1/1 (100.0%)

4. In-depth Analysis

4.1 About Guangdong Silvere Sci and Tech

Guangdong Silver Age Sci & Tech Co.,Ltd. engages in the research, development, production, and sale of polymer materials in China. Its principal products include PP, ABS, PC/ABS alloy, PS, PA, PBT, PET, PPS, PVC/ABS alloy, TPE, and silicon products; and rubber materials, LED light diffusion materials, thermal materials, packaging materials, LED lighting kits, structural design services, and flame retardant products, as well as fuel resistance, weathering, reinforced toughening, plastic alloy, and environmental protection durable materials. Its products are used in household appliances, automobiles, IT electronics, LED lights, power tools, wires and cables, road materials, and other fields. The company was formerly known as Dongguan Silver Age Plastics Co., Ltd and changed its name to Guangdong Silver Age Sci & Tech Co.,Ltd. in December 2006. The company was founded in 1997 and is headquartered in Dongguan, China.

Fundamental data was last updated by Penke on 2024-10-29 16:34:02.

4.2 In-depth Summary

4.2.1. Financial Health Summary

Profitability Details
 Compared to previous yearCompared to industry
The company is making a profit.
Using its assets, the company is inefficient in making profit.
Using its investors money, the company is inefficient in making profit.
Operating Efficiency Details
 Compared to previous yearCompared to industry
The company is inefficient in keeping operating costs low.
Liquidity Details
 Compared to previous yearCompared to industry
The company is able to pay all its short-term debts.
The company is just not able to pay all its short-term debts with the most liquid assets.
Solvency Details
 Compared to previous yearCompared to industry
The company is very able to pay all its debts by selling its assets.
The company is very able to pay all its debts with equity.

4.2.2. Valuation Summary

Valuation Details
 Compared to previous yearCompared to industry
Based on the equity, the company is underpriced.
Based on the earnings, the company is expensive.
Based on how much money comes from the company's main activities, the company is expensive.
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4.3 Financial Health

4.3.1. Profitability

4.3.1 Profitability
4.3.1.1. Net Profit Margin

Measures how much net profit Guangdong Silvere Sci and Tech earns for each ¥1 of revenue.

  • Above 10% is considered healthy but always compare Guangdong Silvere Sci and Tech to the Specialty Chemicals industry mean.
  • A Net Profit Margin of 5.0% means that ¥0.05 for each ¥1 in revenue is generated as profit.

Let's take a look of the Net Profit Margin trends of Guangdong Silvere Sci and Tech:

  • The MRQ is 5.0%. The company is making a profit. +1
  • The TTM is 2.0%. The company is making a profit. +1
Trends
Current periodCompared to+/- 
MRQ5.0%TTM2.0%+3.0%
TTM2.0%YOY1.5%+0.5%
TTM2.0%5Y1.6%+0.4%
5Y1.6%10Y-0.8%+2.3%
Compared to industry (Specialty Chemicals)
PeriodCompanyIndustry (mean)+/- 
MRQ5.0%4.6%+0.4%
TTM2.0%3.8%-1.8%
YOY1.5%4.3%-2.8%
5Y1.6%5.8%-4.2%
10Y-0.8%6.0%-6.8%
4.3.1.2. Return on Assets

Shows how efficient Guangdong Silvere Sci and Tech is using its assets to generate profit.

  • Above 5% is considered healthy but always compare Guangdong Silvere Sci and Tech to the Specialty Chemicals industry mean.
  • 1.1% Return on Assets means that Guangdong Silvere Sci and Tech generated ¥0.01 profit for each $1 in assets.

Let's take a look of the Return on Assets trends of Guangdong Silvere Sci and Tech:

  • The MRQ is 1.1%. Using its assets, the company is less efficient in making profit.
  • The TTM is 0.5%. Using its assets, the company is inefficient in making profit. -1
Trends
Current periodCompared to+/- 
MRQ1.1%TTM0.5%+0.7%
TTM0.5%YOY0.3%+0.1%
TTM0.5%5Y0.5%0.0%
5Y0.5%10Y-0.1%+0.6%
Compared to industry (Specialty Chemicals)
PeriodCompanyIndustry (mean)+/- 
MRQ1.1%1.1%+0.0%
TTM0.5%1.0%-0.5%
YOY0.3%1.1%-0.8%
5Y0.5%1.4%-0.9%
10Y-0.1%1.6%-1.7%
4.3.1.3. Return on Equity

Shows how efficient Guangdong Silvere Sci and Tech is using its investors money to generate profit.

  • Above 15%-20% is considered healthy but always compare Guangdong Silvere Sci and Tech to the Specialty Chemicals industry mean.
  • 1.8% Return on Equity means Guangdong Silvere Sci and Tech generated ¥0.02 for each ¥1 the owners (shareholders) invested.

Let's take a look of the Return on Equity trends of Guangdong Silvere Sci and Tech:

  • The MRQ is 1.8%. Using its investors money, the company is inefficient in making profit. -1
  • The TTM is 0.7%. Using its investors money, the company is inefficient in making profit. -1
Trends
Current periodCompared to+/- 
MRQ1.8%TTM0.7%+1.1%
TTM0.7%YOY0.5%+0.2%
TTM0.7%5Y0.7%0.0%
5Y0.7%10Y-0.3%+1.0%
Compared to industry (Specialty Chemicals)
PeriodCompanyIndustry (mean)+/- 
MRQ1.8%2.2%-0.4%
TTM0.7%1.8%-1.1%
YOY0.5%2.1%-1.6%
5Y0.7%2.6%-1.9%
10Y-0.3%2.7%-3.0%
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4.3.2. Operating Efficiency of Guangdong Silvere Sci and Tech.

4.3.2. Operating Efficiency
4.3.2.1. Operating Margin

Measures how efficient Guangdong Silvere Sci and Tech is operating .

  • Measures how much profit Guangdong Silvere Sci and Tech makes for each ¥1 of sales after paying variable costs (production costs, wages, etc) but before taxes.
  • Above 15% is considered healthy but always compare Guangdong Silvere Sci and Tech to the Specialty Chemicals industry mean.
  • An Operating Margin of 0.0% means the company generated ¥0.00  for each ¥1 in revenue (before taxes).

Let's take a look of the Operating Margin trends of Guangdong Silvere Sci and Tech:

  • The MRQ is 0.0%. The data is not here.
Trends
Current periodCompared to+/- 
MRQ-TTM-0.0%
TTM-YOY1.8%-1.8%
TTM-5Y1.3%-1.3%
5Y1.3%10Y-0.9%+2.2%
Compared to industry (Specialty Chemicals)
PeriodCompanyIndustry (mean)+/- 
MRQ-7.5%-7.5%
TTM-5.0%-5.0%
YOY1.8%6.2%-4.4%
5Y1.3%7.7%-6.4%
10Y-0.9%7.6%-8.5%
4.3.2.2. Operating Ratio

Measures how efficient Guangdong Silvere Sci and Tech is keeping operating costs low.

  • Below 1 is considered healthy (always compare to Specialty Chemicals industry mean).
  • An Operation Ratio of 1.77 means that the operating costs are ¥1.77 for each ¥1 in net sales.

Let's take a look of the Operating Ratio trends of Guangdong Silvere Sci and Tech:

  • The MRQ is 1.771. The company is inefficient in keeping operating costs low. -1
  • The TTM is 1.798. The company is inefficient in keeping operating costs low. -1
Trends
Current periodCompared to+/- 
MRQ1.771TTM1.798-0.026
TTM1.798YOY1.807-0.009
TTM1.7985Y1.813-0.015
5Y1.81310Y1.460+0.352
Compared to industry (Specialty Chemicals)
PeriodCompanyIndustry (mean)+/- 
MRQ1.7711.303+0.468
TTM1.7981.193+0.605
YOY1.8071.074+0.733
5Y1.8131.147+0.666
10Y1.4601.067+0.393
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4.4.3. Liquidity of Guangdong Silvere Sci and Tech.

4.4.3. Liquidity
4.4.3.1. Current Ratio

Measures if Guangdong Silvere Sci and Tech is able to pay off Short-term Debt.

  • Above 1.5 is considered healthy (always compare to Specialty Chemicals industry mean).
  • A Current Ratio of 1.80 means the company has ¥1.80 in assets for each ¥1 in short-term debts.

Let's take a look of the Current Ratio trends of Guangdong Silvere Sci and Tech:

  • The MRQ is 1.799. The company is able to pay all its short-term debts. +1
  • The TTM is 2.249. The company is able to pay all its short-term debts. +1
Trends
Current periodCompared to+/- 
MRQ1.799TTM2.249-0.450
TTM2.249YOY2.511-0.262
TTM2.2495Y2.517-0.268
5Y2.51710Y1.520+0.997
Compared to industry (Specialty Chemicals)
PeriodCompanyIndustry (mean)+/- 
MRQ1.7991.801-0.002
TTM2.2491.867+0.382
YOY2.5111.932+0.579
5Y2.5171.956+0.561
10Y1.5201.885-0.365
4.4.3.2. Quick Ratio

Measures if Guangdong Silvere Sci and Tech is able to pay off Short-term Debt but only using the most liquid assets.

  • Above 1 is considered healthy but always compare Guangdong Silvere Sci and Tech to the Specialty Chemicals industry mean.
  • A Quick Ratio of 0.77 means the company can pay off ¥0.77 for each ¥1 in debt (using most liquid assets).

Let's take a look of the Quick Ratio trends of Guangdong Silvere Sci and Tech:

  • The MRQ is 0.767. The company is just not able to pay all its short-term debts with the most liquid assets. -1
  • The TTM is 0.964. The company is just not able to pay all its short-term debts with the most liquid assets. -1
Trends
Current periodCompared to+/- 
MRQ0.767TTM0.964-0.196
TTM0.964YOY1.504-0.540
TTM0.9645Y1.468-0.504
5Y1.46810Y1.193+0.275
Compared to industry (Specialty Chemicals)
PeriodCompanyIndustry (mean)+/- 
MRQ0.7670.844-0.077
TTM0.9640.903+0.061
YOY1.5041.066+0.438
5Y1.4681.145+0.323
10Y1.1931.166+0.027
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4.5.4. Solvency of Guangdong Silvere Sci and Tech.

4.5.4. Solvency
4.5.4.1. Debt to Asset Ratio

Measures how much % of Guangdong Silvere Sci and Tech assets are financed with debt.

  • Below 1 (100%) is considered healthy but always compare Guangdong Silvere Sci and Tech to Specialty Chemicals industry mean.
  • A Debt to Asset Ratio of 0.38 means that Guangdong Silvere Sci and Tech assets are financed with 37.9% credit (debt) and the remaining percentage (100% - 37.9%) is financed by its owners/shareholders. 

Let's take a look of the Debt to Asset Ratio trends of Guangdong Silvere Sci and Tech:

  • The MRQ is 0.379. The company is very able to pay all its debts by selling its assets. +2
  • The TTM is 0.312. The company is very able to pay all its debts by selling its assets. +2
Trends
Current periodCompared to+/- 
MRQ0.379TTM0.312+0.067
TTM0.312YOY0.283+0.029
TTM0.3125Y0.318-0.006
5Y0.31810Y0.351-0.033
Compared to industry (Specialty Chemicals)
PeriodCompanyIndustry (mean)+/- 
MRQ0.3790.426-0.047
TTM0.3120.426-0.114
YOY0.2830.426-0.143
5Y0.3180.426-0.108
10Y0.3510.433-0.082
4.5.4.2. Debt to Equity Ratio

Measures if Guangdong Silvere Sci and Tech is able to pay off its debts by using shareholders equity.

  • Below 2 is considered healthy but always compare Guangdong Silvere Sci and Tech to the Specialty Chemicals industry mean.
  • A Debt to Equity ratio of 62.2% means that company has ¥0.62 debt for each ¥1 in shareholders equity.

Let's take a look of the Debt to Equity Ratio trends of Guangdong Silvere Sci and Tech:

  • The MRQ is 0.622. The company is very able to pay all its debts with equity. +2
  • The TTM is 0.469. The company is very able to pay all its debts with equity. +2
Trends
Current periodCompared to+/- 
MRQ0.622TTM0.469+0.153
TTM0.469YOY0.402+0.066
TTM0.4695Y0.481-0.013
5Y0.48110Y0.558-0.077
Compared to industry (Specialty Chemicals)
PeriodCompanyIndustry (mean)+/- 
MRQ0.6220.771-0.149
TTM0.4690.767-0.298
YOY0.4020.735-0.333
5Y0.4810.804-0.323
10Y0.5580.836-0.278
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4.6. Market Valuation

4.6.1. Earnings Per Share
4.6.2.1. Price to Earnings Ratio

Measures how much money you pay for each share for every ¥1 in earnings Guangdong Silvere Sci and Tech generates.

  • Above 15 is considered overpriced but always compare Guangdong Silvere Sci and Tech to the Specialty Chemicals industry mean.
  • A PE ratio of 26.27 means the investor is paying ¥26.27 for every ¥1 in earnings.

Let's take a look of the Price to Earnings Ratio trends of Guangdong Silvere Sci and Tech:

  • The EOD is 29.316. Based on the earnings, the company is overpriced. -1
  • The MRQ is 26.269. Based on the earnings, the company is overpriced. -1
  • The TTM is 627.134. Based on the earnings, the company is expensive. -2
Trends
Current periodCompared to+/- 
EOD29.316MRQ26.269+3.046
MRQ26.269TTM627.134-600.865
TTM627.134YOY185.550+441.584
TTM627.1345Y147.045+480.089
5Y147.04510Y124.871+22.175
Compared to industry (Specialty Chemicals)
PeriodCompanyIndustry (mean)+/- 
EOD29.31617.445+11.871
MRQ26.26916.204+10.065
TTM627.13416.228+610.906
YOY185.55016.417+169.133
5Y147.04519.443+127.602
10Y124.87123.851+101.020
4.6.2.2. Price To Free Cash Flow Ratio

Let's take a look of the Price To Free Cash Flow Ratio trends of Guangdong Silvere Sci and Tech:

  • The EOD is -11.288. Based on how much money comes from the company's main activities, the company is expensive. -2
  • The MRQ is -10.115. Based on how much money comes from the company's main activities, the company is expensive. -2
  • The TTM is -8.921. Based on how much money comes from the company's main activities, the company is expensive. -2
Trends
Current periodCompared to+/- 
EOD-11.288MRQ-10.115-1.173
MRQ-10.115TTM-8.921-1.194
TTM-8.921YOY-27.297+18.376
TTM-8.9215Y-15.762+6.840
5Y-15.76210Y-42.599+26.838
Compared to industry (Specialty Chemicals)
PeriodCompanyIndustry (mean)+/- 
EOD-11.2887.782-19.070
MRQ-10.1157.528-17.643
TTM-8.9213.102-12.023
YOY-27.2972.271-29.568
5Y-15.7623.313-19.075
10Y-42.5992.746-45.345
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4.6.2. Book Value per Share
4.6.2.1. Price to Book Ratio

Measures if the stock price of Guangdong Silvere Sci and Tech is to cheap or to expensive compared to its book value.

  • At or below 1 is considered healthy (always compare to Specialty Chemicals industry mean).
  • A PB ratio of 1.88 means the investor is paying ¥1.88 for each ¥1 in book value.

Let's take a look of the Price to Book Ratio trends of Guangdong Silvere Sci and Tech:

  • The EOD is 2.100. Based on the equity, the company is underpriced. +1
  • The MRQ is 1.881. Based on the equity, the company is underpriced. +1
  • The TTM is 2.000. Based on the equity, the company is underpriced. +1
Trends
Current periodCompared to+/- 
EOD2.100MRQ1.881+0.218
MRQ1.881TTM2.000-0.118
TTM2.000YOY1.953+0.047
TTM2.0005Y2.475-0.475
5Y2.47510Y4.489-2.015
Compared to industry (Specialty Chemicals)
PeriodCompanyIndustry (mean)+/- 
EOD2.1001.806+0.294
MRQ1.8811.702+0.179
TTM2.0001.792+0.208
YOY1.9531.867+0.086
5Y2.4752.293+0.182
10Y4.4892.720+1.769
4.6.2. Total Gains per Share
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6. Financial Statements




6.1. Latest Balance Sheet

Balance Sheet of 2024-06-30. Currency in CNY. All numbers in thousands.

Summary
Total Assets2,151,143
Total Liabilities815,268
Total Stockholder Equity1,311,067
 As reported
Total Liabilities 815,268
Total Stockholder Equity+ 1,311,067
Total Assets = 2,151,143

Assets

Total Assets2,151,143
Total Current Assets1,192,161
Long-term Assets958,982
Total Current Assets
Cash And Cash Equivalents 74,143
Short-term Investments 2,858
Net Receivables 505,614
Inventory 266,824
Other Current Assets 88,965
Total Current Assets  (as reported)1,192,161
Total Current Assets  (calculated)938,405
+/- 253,756
Long-term Assets
Property Plant Equipment 669,116
Intangible Assets 94,129
Long-term Assets Other 18,872
Long-term Assets  (as reported)958,982
Long-term Assets  (calculated)782,117
+/- 176,865

Liabilities & Shareholders' Equity

Total Current Liabilities662,796
Long-term Liabilities152,472
Total Stockholder Equity1,311,067
Total Current Liabilities
Short Long Term Debt 171,376
Accounts payable 378,122
Other Current Liabilities 22,895
Total Current Liabilities  (as reported)662,796
Total Current Liabilities  (calculated)572,393
+/- 90,403
Long-term Liabilities
Long term Debt 63,908
Capital Lease Obligations Min Short Term Debt75,863
Long-term Liabilities  (as reported)152,472
Long-term Liabilities  (calculated)139,771
+/- 12,700
Total Stockholder Equity
Total Stockholder Equity (as reported)1,311,067
Total Stockholder Equity (calculated)0
+/- 1,311,067
Other
Capital Stock474,558
Common Stock Shares Outstanding 474,558
Net Debt 161,141
Net Invested Capital 1,546,352
Net Working Capital 529,365
Property Plant and Equipment Gross 669,116



6.2. Balance Sheets Structured

Currency in CNY. All numbers in thousands.

 Trend2024-06-302024-03-312023-12-312023-09-302023-06-302023-03-312022-12-312022-09-302022-06-302022-03-312021-12-312021-09-302021-06-302021-03-312020-12-312020-09-302020-06-302020-03-312019-12-312019-09-302019-06-302019-03-312018-12-312018-09-302018-06-302018-03-312017-12-312017-09-302017-06-302017-03-312016-12-312016-09-302016-06-302016-03-312015-12-312015-09-302015-06-302015-03-312014-12-312014-09-302014-06-302014-03-312013-12-312013-09-302013-06-302013-03-312012-12-312012-09-302012-06-302012-03-312011-12-312011-09-302011-06-302011-03-312010-12-312009-12-312008-12-31
> Total Assets 
233,116
351,021
479,143
492,351
916,468
968,317
946,240
977,670
915,361
900,386
910,671
983,340
980,521
1,015,125
1,047,829
1,032,505
1,066,560
1,175,239
1,226,520
1,259,576
1,314,605
1,277,228
1,275,160
1,360,564
1,457,861
1,514,529
1,608,844
3,254,131
3,281,289
3,300,258
3,434,133
3,526,949
3,348,288
3,231,544
2,312,164
2,278,694
1,780,032
1,640,161
1,455,237
1,342,142
1,448,802
1,565,803
1,597,203
1,706,437
1,719,298
1,772,871
1,952,547
1,868,040
1,846,868
1,807,133
1,772,768
1,763,300
1,778,144
1,798,782
1,845,268
1,979,357
2,151,143
2,151,1431,979,3571,845,2681,798,7821,778,1441,763,3001,772,7681,807,1331,846,8681,868,0401,952,5471,772,8711,719,2981,706,4371,597,2031,565,8031,448,8021,342,1421,455,2371,640,1611,780,0322,278,6942,312,1643,231,5443,348,2883,526,9493,434,1333,300,2583,281,2893,254,1311,608,8441,514,5291,457,8611,360,5641,275,1601,277,2281,314,6051,259,5761,226,5201,175,2391,066,5601,032,5051,047,8291,015,125980,521983,340910,671900,386915,361977,670946,240968,317916,468492,351479,143351,021233,116
   > Total Current Assets 
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1,693,115
1,557,526
1,626,444
1,587,841
1,117,918
1,046,008
998,528
897,666
1,002,692
1,120,821
1,159,807
1,239,522
1,259,529
1,313,782
1,494,792
1,401,294
1,345,993
1,294,878
1,218,715
1,165,623
1,125,498
1,089,246
1,051,108
1,088,461
1,192,161
1,192,1611,088,4611,051,1081,089,2461,125,4981,165,6231,218,7151,294,8781,345,9931,401,2941,494,7921,313,7821,259,5291,239,5221,159,8071,120,8211,002,692897,666998,5281,046,0081,117,9181,587,8411,626,4441,557,5261,693,11500000000000000000000000000000000
       Cash And Cash Equivalents 
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
188,550
165,460
141,837
68,703
78,373
62,989
80,874
108,311
90,714
78,462
43,236
78,057
122,314
42,510
105,753
178,406
127,147
122,394
98,464
116,264
143,963
81,843
44,064
60,736
74,143
74,14360,73644,06481,843143,963116,26498,464122,394127,147178,406105,75342,510122,31478,05743,23678,46290,714108,31180,87462,98978,37368,703141,837165,460188,55000000000000000000000000000000000
       Short-term Investments 
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
487,016
54,539
46,506
48,282
39,826
137,797
280,420
82,914
49,999
102,179
136,281
88,782
166,104
241,411
194,871
130,481
111,158
60,011
2,824
3,128
3,172
2,858
2,8583,1723,1282,82460,011111,158130,481194,871241,411166,10488,782136,281102,17949,99982,914280,420137,79739,82648,28246,50654,539487,01600000000000000000000000000000000000
       Net Receivables 
89,554
166,918
183,109
204,981
242,610
265,383
296,614
273,674
302,735
273,822
303,717
296,831
346,058
346,989
374,961
337,578
374,714
375,400
458,232
374,654
420,837
409,685
431,161
439,639
462,432
496,886
577,209
857,610
1,071,729
1,083,229
895,938
918,712
786,232
709,527
781,151
446,716
381,565
366,493
553,823
469,157
511,031
497,856
769,444
610,721
709,514
719,644
973,290
752,202
700,250
598,441
613,995
565,062
606,172
461,762
475,969
432,592
505,614
505,614432,592475,969461,762606,172565,062613,995598,441700,250752,202973,290719,644709,514610,721769,444497,856511,031469,157553,823366,493381,565446,716781,151709,527786,232918,712895,9381,083,2291,071,729857,610577,209496,886462,432439,639431,161409,685420,837374,654458,232375,400374,714337,578374,961346,989346,058296,831303,717273,822302,735273,674296,614265,383242,610204,981183,109166,91889,554
       Other Current Assets 
7,357
2,779
6,304
6,590
8,326
7,959
10,769
9,605
8,155
10,033
29,942
26,209
6,952
41,568
72,174
77,811
81,050
93,297
59,893
75,516
67,644
54,071
45,103
51,978
49,086
63,676
47,703
51,219
56,073
49,692
66,344
84,788
88,907
79,204
81,969
46,322
40,975
37,999
52,533
38,383
38,821
42,786
37,308
207,068
49,117
80,440
45,608
43,593
33,992
137,847
53,341
116,762
48,325
107,477
98,662
112,254
88,965
88,965112,25498,662107,47748,325116,76253,341137,84733,99243,59345,60880,44049,117207,06837,30842,78638,82138,38352,53337,99940,97546,32281,96979,20488,90784,78866,34449,69256,07351,21947,70363,67649,08651,97845,10354,07167,64475,51659,89393,29781,05077,81172,17441,5686,95226,20929,94210,0338,1559,60510,7697,9598,3266,5906,3042,7797,357
   > Long-term Assets 
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
690,853
662,114
594,153
456,709
444,476
446,110
444,982
437,396
466,915
459,770
459,089
457,754
466,745
500,875
512,255
554,053
597,677
652,646
709,536
794,160
890,896
958,982
958,982890,896794,160709,536652,646597,677554,053512,255500,875466,745457,754459,089459,770466,915437,396444,982446,110444,476456,709594,153662,114690,85300000000000000000000000000000000000
       Property Plant Equipment 
37,124
53,725
63,637
57,247
74,931
66,844
82,261
79,726
87,776
95,837
150,609
112,163
201,798
165,302
256,583
247,220
268,912
281,102
312,729
325,888
363,789
366,432
365,534
362,873
360,440
357,893
354,566
672,030
674,057
666,262
673,423
660,852
659,217
662,792
570,666
571,129
533,742
466,763
355,123
349,312
348,922
349,356
332,516
352,837
349,655
345,552
344,379
340,662
339,153
341,262
369,846
419,954
464,462
520,135
613,690
653,011
669,116
669,116653,011613,690520,135464,462419,954369,846341,262339,153340,662344,379345,552349,655352,837332,516349,356348,922349,312355,123466,763533,742571,129570,666662,792659,217660,852673,423666,262674,057672,030354,566357,893360,440362,873365,534366,432363,789325,888312,729281,102268,912247,220256,583165,302201,798112,163150,60995,83787,77679,72682,26166,84474,93157,24763,63753,72537,124
       Goodwill 
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
332
332
332
0
0
0
0
0
0
0
0
0
736,040
736,040
736,040
489,805
489,805
489,805
489,805
0
0
0
0
6,542
6,542
6,542
6,542
6,542
11,103
11,103
11,103
14,303
14,303
14,303
14,303
14,303
14,303
14,303
14,303
0
0
0
00014,30314,30314,30314,30314,30314,30314,30314,30311,10311,10311,1036,5426,5426,5426,5426,5420000489,805489,805489,805489,805736,040736,040736,040000000000332332332000000000000000
       Long Term Investments 
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
326,773
342,274
17,377
17,429
27,683
37,996
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
000000000000000000037,99627,68317,42917,377342,274326,77300000000000000000000000000000000
       Intangible Assets 
10,792
202
161
10,486
342
10,538
326
45,357
44,830
44,942
549
44,337
467
45,982
2,510
45,252
45,062
44,724
44,063
43,733
43,404
43,147
42,816
42,485
42,165
41,871
41,525
826,688
824,565
822,902
575,003
576,085
112,571
109,317
68,202
67,349
29,934
68,144
49,639
49,520
49,212
48,469
47,700
47,478
46,996
46,739
46,259
45,915
104,004
104,180
103,036
102,296
102,298
101,699
100,589
94,569
94,129
94,12994,569100,589101,699102,298102,296103,036104,180104,00445,91546,25946,73946,99647,47847,70048,46949,21249,52049,63968,14429,93467,34968,202109,317112,571576,085575,003822,902824,565826,68841,52541,87142,16542,48542,81643,14743,40443,73344,06344,72445,06245,2522,51045,98246744,33754944,94244,83045,35732610,53834210,48616120210,792
       Long-term Assets Other 
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
11,597
12,683
2,637
891
1,221
4,632
350,671
1,330
6,907
12,414
14,798
9,991
24,706
3,799
11,069
22,361
16,846
21,126
29,846
24,021
25,763
18,872
18,87225,76324,02129,84621,12616,84622,36111,0693,79924,7069,99114,79812,4146,9071,330350,6714,6321,2218912,63712,68311,59700000000000000000000000000000000000
> Total Liabilities 
100,574
174,497
246,675
243,879
235,235
275,187
271,979
294,394
238,768
216,853
227,483
295,920
302,720
335,445
367,384
347,568
380,477
479,947
516,351
537,910
570,851
522,068
509,728
548,631
593,899
598,165
686,034
1,180,564
1,152,728
1,117,966
1,180,455
1,224,159
1,114,323
1,042,707
960,416
735,891
706,453
594,639
437,608
338,007
395,566
451,530
520,523
601,324
606,773
635,285
785,365
678,284
641,876
550,700
502,478
480,950
480,292
471,362
516,428
647,259
815,268
815,268647,259516,428471,362480,292480,950502,478550,700641,876678,284785,365635,285606,773601,324520,523451,530395,566338,007437,608594,639706,453735,891960,4161,042,7071,114,3231,224,1591,180,4551,117,9661,152,7281,180,564686,034598,165593,899548,631509,728522,068570,851537,910516,351479,947380,477347,568367,384335,445302,720295,920227,483216,853238,768294,394271,979275,187235,235243,879246,675174,497100,574
   > Total Current Liabilities 
96,452
170,260
246,583
240,857
235,213
275,166
271,957
294,372
238,747
216,832
219,450
291,215
299,765
332,490
364,429
344,958
379,794
457,024
481,357
508,716
523,324
476,391
454,162
498,845
542,189
540,682
638,159
1,060,064
1,020,947
993,872
1,065,344
1,116,040
908,740
841,140
819,910
576,257
554,794
443,867
296,385
197,124
338,105
396,225
501,593
560,199
566,644
606,934
756,346
651,619
616,825
527,293
477,389
458,753
450,911
431,935
416,350
506,023
662,796
662,796506,023416,350431,935450,911458,753477,389527,293616,825651,619756,346606,934566,644560,199501,593396,225338,105197,124296,385443,867554,794576,257819,910841,140908,7401,116,0401,065,344993,8721,020,9471,060,064638,159540,682542,189498,845454,162476,391523,324508,716481,357457,024379,794344,958364,429332,490299,765291,215219,450216,832238,747294,372271,957275,166235,213240,857246,583170,26096,452
       Short-term Debt 
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
9,600
24,199
60,900
254,633
249,183
144,000
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0000000000000000000144,000249,183254,63360,90024,1999,60000000000000000000000000000000000
       Short Long Term Debt 
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
9,600
24,199
60,900
254,633
249,183
144,000
69,113
43,497
37,111
40,580
63,345
159,766
176,262
164,003
206,297
204,915
179,918
97,655
55,991
57,979
56,506
67,011
53,555
113,035
171,376
171,376113,03553,55567,01156,50657,97955,99197,655179,918204,915206,297164,003176,262159,76663,34540,58037,11143,49769,113144,000249,183254,63360,90024,1999,60000000000000000000000000000000000
       Accounts payable 
26,694
85,535
141,098
84,412
123,150
115,259
112,939
107,582
119,743
92,862
115,897
103,600
110,798
109,920
137,058
111,896
123,937
118,151
139,156
130,097
131,194
130,531
145,096
158,359
166,778
193,479
277,054
418,373
488,894
392,055
445,012
330,860
319,047
311,400
300,697
203,633
187,624
173,051
178,784
109,061
161,079
223,355
256,088
250,519
298,427
286,503
375,211
295,916
291,034
313,422
300,032
288,240
278,931
256,441
256,424
295,644
378,122
378,122295,644256,424256,441278,931288,240300,032313,422291,034295,916375,211286,503298,427250,519256,088223,355161,079109,061178,784173,051187,624203,633300,697311,400319,047330,860445,012392,055488,894418,373277,054193,479166,778158,359145,096130,531131,194130,097139,156118,151123,937111,896137,058109,920110,798103,600115,89792,862119,743107,582112,939115,259123,15084,412141,09885,53526,694
       Other Current Liabilities 
2,869
8,085
5,989
3,458
1,944
0
11,962
0
0
0
0
0
0
0
13,546
10,205
13,733
12,835
21,764
19,038
21,229
23,470
23,434
20,671
21,692
25,068
31,963
182,024
0
48,157
105,581
72,996
22,057
39,317
24,153
66,364
61,700
61,100
24,152
26,490
34,535
29,106
28,675
30,505
25,168
136,860
125,352
129,749
119,380
95,475
85,692
90,668
85,692
1,240
432
1,427
22,895
22,8951,4274321,24085,69290,66885,69295,475119,380129,749125,352136,86025,16830,50528,67529,10634,53526,49024,15261,10061,70066,36424,15339,31722,05772,996105,58148,1570182,02431,96325,06821,69220,67123,43423,47021,22919,03821,76412,83513,73310,20513,546000000011,96201,9443,4585,9898,0852,869
   > Long-term Liabilities 
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
159,634
151,659
150,772
141,223
140,883
57,461
55,305
18,929
41,126
40,129
28,351
29,019
26,665
25,051
23,406
25,089
22,197
29,381
39,426
100,078
141,236
152,472
152,472141,236100,07839,42629,38122,19725,08923,40625,05126,66529,01928,35140,12941,12618,92955,30557,461140,883141,223150,772151,659159,63400000000000000000000000000000000000
       Capital Lease Obligations Min Short Term Debt
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
-9,600
-24,199
-60,900
-254,633
-249,183
-144,000
0
0
0
0
0
22,084
25,081
23,200
25,731
23,430
21,478
19,900
18,588
15,882
14,286
12,006
47,685
66,352
75,863
75,86366,35247,68512,00614,28615,88218,58819,90021,47823,43025,73123,20025,08122,08400000-144,000-249,183-254,633-60,900-24,199-9,60000000000000000000000000000000000
       Long-term Liabilities Other 
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
139,000
135,000
135,000
131,000
131,000
45,000
0
0
10,281
0
0
0
0
0
0
0
0
0
0
0
0
0
000000000000010,2810045,000131,000131,000135,000135,000139,00000000000000000000000000000000000000
       Deferred Long Term Liability 
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
24,428
21,446
17,518
15,308
12,349
10,285
7,731
7,663
7,286
6,917
8,494
8,806
8,376
9,930
10,082
9,733
9,142
9,730
10,551
11,109
17,176
0
0
0
0
000017,17611,10910,5519,7309,1429,73310,0829,9308,3768,8068,4946,9177,2867,6637,73110,28512,34915,30817,51821,44624,42800000000000000000000000000000000
> Total Stockholder Equity
117,467
153,455
203,431
217,779
648,148
658,460
669,111
683,276
676,593
683,533
683,188
687,420
677,802
679,680
680,445
684,937
685,410
692,617
707,572
719,171
731,557
742,894
753,560
799,683
844,534
898,230
904,131
2,054,258
2,108,182
2,161,375
2,230,773
2,280,221
2,213,224
2,168,165
1,336,053
1,526,883
1,051,034
1,025,681
997,886
986,292
1,026,187
1,075,599
1,048,993
1,075,729
1,094,523
1,124,050
1,150,572
1,172,061
1,184,542
1,233,143
1,246,679
1,258,946
1,272,905
1,303,606
1,303,868
1,307,495
1,311,067
1,311,0671,307,4951,303,8681,303,6061,272,9051,258,9461,246,6791,233,1431,184,5421,172,0611,150,5721,124,0501,094,5231,075,7291,048,9931,075,5991,026,187986,292997,8861,025,6811,051,0341,526,8831,336,0532,168,1652,213,2242,280,2212,230,7732,161,3752,108,1822,054,258904,131898,230844,534799,683753,560742,894731,557719,171707,572692,617685,410684,937680,445679,680677,802687,420683,188683,533676,593683,276669,111658,460648,148217,779203,431153,455117,467
   Common Stock
75,000
75,000
75,000
75,000
100,000
100,000
100,000
100,000
200,000
200,000
200,000
200,000
200,000
200,000
200,000
200,000
200,000
200,000
201,620
201,620
403,240
403,240
403,240
403,240
402,268
402,268
402,268
500,584
505,689
505,689
505,689
505,689
505,688
504,568
504,568
504,568
452,316
452,316
452,316
452,316
452,316
449,944
449,944
449,944
449,944
477,024
476,208
476,208
476,208
476,208
474,558
474,558
474,558
0
0
0
0
0000474,558474,558474,558476,208476,208476,208476,208477,024449,944449,944449,944449,944452,316452,316452,316452,316452,316504,568504,568504,568505,688505,689505,689505,689505,689500,584402,268402,268402,268403,240403,240403,240403,240201,620201,620200,000200,000200,000200,000200,000200,000200,000200,000200,000200,000100,000100,000100,000100,00075,00075,00075,00075,000
   Retained Earnings 
23,441
56,804
103,503
117,853
132,278
142,601
152,539
166,640
159,982
166,937
163,587
167,895
158,237
160,229
159,010
178,951
179,489
186,688
190,919
199,256
207,563
215,849
222,038
264,357
308,129
356,243
360,974
404,201
412,659
463,998
529,474
579,628
510,764
500,183
-335,583
-179,161
-308,867
-333,371
-325,499
-336,380
-297,663
-250,501
-224,469
-196,363
-171,809
-155,474
-151,014
-152,377
-163,690
-159,580
-156,630
-154,870
-140,347
-165,704
-165,149
-162,874
-138,955
-138,955-162,874-165,149-165,704-140,347-154,870-156,630-159,580-163,690-152,377-151,014-155,474-171,809-196,363-224,469-250,501-297,663-336,380-325,499-333,371-308,867-179,161-335,583500,183510,764579,628529,474463,998412,659404,201360,974356,243308,129264,357222,038215,849207,563199,256190,919186,688179,489178,951159,010160,229158,237167,895163,587166,937159,982166,640152,539142,601132,278117,853103,50356,80423,441
   Capital Surplus 000000000000000000000000000000000000000000000000000000000
   Treasury Stock00000000000000000000000-15,4660-1,296-1,296-1,296-1,296-1,296-2,268-2,268-2,268-3,240-3,240-3,240-3,240-1,620-1,620000000000000000000
   Other Stockholders Equity 0000-1,790-3,121-2,783-1,899-3,878-5,845-5,719-9,784-53,566-52,972-53,230-808-3,152-2,966-2,253-2,354-1,505-2,789-1,429-809-43200000000000000000000000000000000



6.3. Balance Sheets

Currency in CNY. All numbers in thousands.




6.4. Cash Flows

Currency in CNY. All numbers in thousands.




6.5. Income Statements

Currency in CNY. All numbers in thousands.


6.6. Latest Income Statement

Income Statement (annual), 2023-12-31. Currency in CNY. All numbers in thousands.

Gross Profit (+$)
totalRevenue1,665,378
Cost of Revenue-1,381,276
Gross Profit284,102284,102
 
Operating Income (+$)
Gross Profit284,102
Operating Expense-1,609,220
Operating Income56,158-1,325,118
 
Operating Expense (+$)
Research Development80,456
Selling General Administrative79,351
Selling And Marketing Expenses0
Operating Expense1,609,220159,806
 
Net Interest Income (+$)
Interest Income4,213
Interest Expense-5,218
Other Finance Cost-669
Net Interest Income-1,674
 
Pretax Income (+$)
Operating Income56,158
Net Interest Income-1,674
Other Non-Operating Income Expenses0
Income Before Tax (EBT)27,47656,158
EBIT - interestExpense = -5,218
27,030
32,248
Interest Expense5,218
Earnings Before Interest and Taxes (EBIT)032,694
Earnings Before Interest and Taxes (EBITDA)0
 
After tax Income (+$)
Income Before Tax27,476
Tax Provision--17
Net Income From Continuing Ops27,49327,493
Net Income27,030
Net Income Applicable To Common Shares0
 
Non-recurring Events
Discontinued Operations0
Extraordinary Items0
Effect of Accounting Charges0
Other Items0
Non Recurring0
Other Operating Expenses0
Total Other Income/Expenses Net01,674
 

Technical Analysis of Guangdong Silvere Sci and Tech
The psychology behind the price

Technical indicators reflecting market sentiment and the collective psychology of you and other traders. Your emotions and other traders' emotions, such as fear and greed, play a significant role in driving price movements.

General trend

First of all, I'm going to put something in the back of your mind. One of the most stable factors that gives you more confidence as a trader: the general trend of Guangdong Silvere Sci and Tech. The general trend of Guangdong Silvere Sci and Tech is UNKNOWN with 0.0% confidence. It is very important for your mental being to use each indicator with this in mind. But beware, also the general trend flips once in a while! You can use moving averages to determine Guangdong Silvere Sci and Tech's overall trend. For convenience I use the most commonly used moving averages: 20, 50, 100 & 200. Of course you can use other moving averages or other indicators to determine the trend.

Indicator phases

Some of the indicators I use have 3 zones: overbought, oversold and neutral. Transitions between these zones (market phases) provide valuable trading signals and insights. Expecially with the general trend mind, I use the highlighted phases:

Indicator StateBullish trend Bearish trend
Overbought to neutralBullish pullback=Bearish reversal
Upper to lower neutralBullish correction=Bearish continuation
Nuetral to oversoldOversold=Oversold
Oversold to neutralBullish reversal=Bearish correction
Lower to upper neutralBullish continuation=Bearish pullback
Nuetral to overboughtOverbought=Overbought

1. Price Targets

1.1 Support & Resistance

Support and resistance are levels on a price chart that act as barriers or zones where the price of an asset tends to stop, reverse, or experience a significant amount of buying or selling pressure.

Support is a price level at which demand for an asset is strong enough to prevent the price from falling further.
Resistance is a price level at which selling pressure becomes significant enough to prevent the price of an asset from rising further.


Score

Let's take a look at the Support & Resistance of Guangdong Silvere Sci and Tech.

The long score for the Support & Resistance is 0/1.
The longshort score for the Support & Resistance is 0/(-1 +1).

  • Between support/resistance: The price is trading between support and resistance lines.

The bullish price targets are: 6.95 < 6.98 < 7.5.

The bearish price targets are: 6.01 > 4.9 > 4.4.

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Guangdong Silvere Sci and Tech Daily Support & Resistance Chart

2. Trend Indicators

2.1 Moving Averages

Shows the moving average of the selected period.

  • Moving averages are lagging trend indicators.
  • There are many types of moving averages.
  • Moving averages are also used within other indicators.

Score

Let's take a look at the Moving Averages of Guangdong Silvere Sci and Tech. The current mas is .

Directionalities and relatives.

Moving AverageAmount of candlesTrendPrice +/-vs. MA 50vs. MA 100vs. MA 200

Explanation: https://www.youtube.com/watch?v=xwW8h0lrQ-I

Guangdong Silvere Sci and Tech Daily Moving Averages Chart
2.2 Moving Average Convergence/Divergence (MACD)

Shows the momentum of the selected period based on two moving averages.

  • MACD is a lagging momentum indicator.
  • Uses two moving averages.
  • Can show buy or sell signals based on momentum.
  • Can show overbought. and oversold. levels.

Score

Let's take a look at the Moving Average Convergence/Divergence (MACD) of Guangdong Silvere Sci and Tech.

Guangdong Silvere Sci and Tech Daily Moving Average Convergence/Divergence (MACD) ChartGuangdong Silvere Sci and Tech Daily Moving Average Convergence/Divergence (MACD) Chart
2.3 Directional Movement Index (DMI)

The DMI is a collection of 3 indicators: +DI (Plus Direction Indicator), -DI (Minus Direction Indicator) and ADX (Average Directional Index). The ADX helps you determine the strength of a trend.


Score

Let's take a look at the Directional Movement Index (DMI) of Guangdong Silvere Sci and Tech. The current adx is .

Guangdong Silvere Sci and Tech Daily Directional Movement Index (DMI) Chart
2.4 Parabolic SAR

Shows the current trend and potential entry and exit signals.

  • Parabolic SAR (stop and reverse) is a lagging trend indicator.
  • Shows the current trend.
  • Shows potential entry signals.
  • Shows  potential exit signals.
  • Can be used to place trailing stoplosses..

Score

Let's take a look at the Parabolic SAR of Guangdong Silvere Sci and Tech.

Guangdong Silvere Sci and Tech Daily Parabolic SAR Chart
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3. Momentum Indicators

3.1 Relative Strength Index (RSI)

Measures the speed and change of price movements.

  • Leading momentum indicator, meaning the signals are instant.
  • Ranges between 0 and 100.
  • Above 70 is considered overbought.
  • Below 30 is considered oversold.
  • Above or below 50 can also be used to determine price trend or support and resistance.
  • RSI divergence looks at a deviation between RSI and price movement. Penketrading automatically calculates RSI divergences.
  • Can be used in many different ways

Score

Let's take a look at the Relative Strength Index (RSI) of Guangdong Silvere Sci and Tech.

Guangdong Silvere Sci and Tech Daily Relative Strength Index (RSI) ChartGuangdong Silvere Sci and Tech Daily Relative Strength Index (RSI) Chart
3.2 Stochastic Oscillator

Compares a certain price to multiple prices ranging over time.

  • Leading momentum indicator, meaning the signals are instant.
  • Used to determine overbought and oversold areas much like the RSI.
  • Ranges between 0 and 100.
  • Above 80 is considered overbought.
  • Below 20 is considered oversold.
  • Consists of two lines named K and D.
  • K compares the highest high and lowest low on the selected price range.
  • The D line is a moving average of the K line.
  • Can be used to spot divergences

Score

Let's take a look at the Stochastic Oscillator of Guangdong Silvere Sci and Tech.

Guangdong Silvere Sci and Tech Daily Stochastic Oscillator ChartGuangdong Silvere Sci and Tech Daily Stochastic Oscillator Chart
3.3 Commodity Channel Index (CCI)

Measures the difference between the current price and the historical average price.

  • Lagging or leading Momentum indicator
  • When the CCI is above zero, the price is above the historical average
  • When the CCI is below zero, the price is below the historical average
  • Used for spotting trends
    • If the CCI moves from negative or near zero to positive 100 that might indicate an uptrend
    • If the CCI moves from positive or near zero to negative -100 that might indicate a downtrend

Score

Let's take a look at the Commodity Channel Index (CCI) of Guangdong Silvere Sci and Tech.

Guangdong Silvere Sci and Tech Daily Commodity Channel Index (CCI) ChartGuangdong Silvere Sci and Tech Daily Commodity Channel Index (CCI) Chart
3.4 Chande Momentum Oscillator (CMO)

Measures the difference between the sum of recent gains and the sum of recent losses. Then divides the result by the sum of all price movements in that period.

  • Lagging momentum indicator
  • Ranges between +100 and -100
  • Considered overbought above +50
  • Considered oversold below -50
  • It's possible to add a moving average that acts as a signal line

Score

Let's take a look at the Chande Momentum Oscillator (CMO) of Guangdong Silvere Sci and Tech.

Guangdong Silvere Sci and Tech Daily Chande Momentum Oscillator (CMO) ChartGuangdong Silvere Sci and Tech Daily Chande Momentum Oscillator (CMO) Chart
3.5 Williams %R

 Shows the current price relative to the highest high over the last 14 days.
 

  • Lagging momentum indicator
  • Ranging between 0 and -100
  • Above -20 is considered overbought
  • Below -80 is considered oversold
  • Is prone to give false signals

Score

Let's take a look at the Williams %R of Guangdong Silvere Sci and Tech.

Guangdong Silvere Sci and Tech Daily Williams %R ChartGuangdong Silvere Sci and Tech Daily Williams %R Chart
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4. Volatility Indicators

4.1 Bollinger Bands

Shows if the price is to high or to low relative to an average.

  • Lagging volatility indicator
  • Uses 3 bands: one upper, one lower and one in the middle
  • Works best when the middle band reflects an intermediate trend (MA20).
  • When the price is moving closer to the upper band, the market might be overbought
  • When the price is moving closer to the lower band, the market might be oversold 

Score

Let's take a look at the Bollinger Bands of Guangdong Silvere Sci and Tech.

Guangdong Silvere Sci and Tech Daily Bollinger Bands Chart
4.2 Average True Range (ATR)
Measures market volatility
  • Leading volatility indicator
  • Can be used to determine stop-loss positions
  • Calculated by:
    • Current high minus the current low
    • Current high minus the previous close
    • Current low minus the previous close
  • The larger the range of the candles, the greater the ATR value

Score

Let's take a look at the Average True Range (ATR) of Guangdong Silvere Sci and Tech.

Guangdong Silvere Sci and Tech Daily Average True Range (ATR) ChartGuangdong Silvere Sci and Tech Daily Average True Range (ATR) Chart
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5. Volume Indicators

5.1 On-Balance Volume (OBV)

 Measures market volatility

  • Leading momentum indicator
  • Calculation:
    • If the closing price is above the previous closing price: OBV = previous OBV + current volume
    • If the closing price is below the previous closing price: OBV = previous OBV - current volume
    • If the closing price is the same as the previous closing price than the OBV is the same.
  • Can be used to confirm price trends
  • Can be used with divergences

Score

Let's take a look at the On-Balance Volume (OBV) of Guangdong Silvere Sci and Tech.

Guangdong Silvere Sci and Tech Daily On-Balance Volume (OBV) ChartGuangdong Silvere Sci and Tech Daily On-Balance Volume (OBV) Chart
5.2 Money Flow Index (MFI)

Measures the flow of money in and out of a security

  • Lagging momentum indicator
  • Looks like RSI but uses volume as an extra metric (RSI only considers price)
  • Above 80 is considered overbought
  • Below 20 is considered oversold
  • Can be used with divergences

Score

Let's take a look at the Money Flow Index (MFI) of Guangdong Silvere Sci and Tech.

Guangdong Silvere Sci and Tech Daily Money Flow Index (MFI) ChartGuangdong Silvere Sci and Tech Daily Money Flow Index (MFI) Chart
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6. Summary

6.1. Notifications

TypeNotificationDate
PenkeCurrently no notifications for Guangdong Silvere Sci and Tech.

6.2. Trading Signals

Below you will find trading signals as the indicator is commonly used. This doesn't mean you should use it that way. Learn from these, but don't use them blindly. I recommend using at least 4 indicators, 1 from each category: trend, momentum, volatility and volume.

DateIndicatorSignal
2024-06-24DMI LONG ENTRY SHORT CLOSEThe +DI crossed the -DI to the upside. The trend is reversing to an up trend.
STOCH SHORT EXITThe %K line crosses above the %D line.
CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
2024-06-26STOCH LONG EXITThe %K line crosses below the %D line.
2024-06-27CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
2024-07-01DMI SHORT ENTRY LONG CLOSEThe +DI crossed the -DI to the downside. The trend is reversing to a down trend.
SAR SHORT ENTRY LONG CLOSEThe price broke the SAR to the downside
2024-07-03MACD SHORT ENTRY LONG CLOSEThe MACD line crosses below the signal line.
WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
2024-07-04CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
2024-07-05STOCH SHORT EXITThe %K line crosses above the %D line.
2024-07-08STOCH LONG EXITThe %K line crosses below the %D line.
2024-07-09STOCH SHORT EXITThe %K line crosses above the %D line.
2024-07-15STOCH LONG EXITThe %K line crosses below the %D line.
WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
2024-07-16CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
2024-07-17BB LONG ENTRY SHORT CLOSEPrice closed below the lower band.
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
2024-07-18STOCH SHORT EXITThe %K line crosses above the %D line.
2024-07-19RSI LONG ENTRY SHORT CLOSE30 crossover to upside
2024-07-23STOCH LONG EXITThe %K line crosses below the %D line.
2024-07-24WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
2024-07-25RSI LONG ENTRY SHORT CLOSE30 crossover to upside
STOCH SHORT EXITThe %K line crosses above the %D line.
2024-07-29SAR LONG ENTRY SHORT CLOSEThe price broke the SAR to the upside.
2024-07-30MACD LONG ENTRY SHORT CLOSEThe MACD line crosses above the signal line.
2024-07-31DMI LONG ENTRY SHORT CLOSEThe +DI crossed the -DI to the upside. The trend is reversing to an up trend.
CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
2024-08-02STOCH LONG EXITThe %K line crosses below the %D line.
2024-08-08STOCH SHORT EXITThe %K line crosses above the %D line.
2024-08-12STOCH LONG EXITThe %K line crosses below the %D line.
2024-08-14CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
2024-08-15SAR SHORT ENTRY LONG CLOSEThe price broke the SAR to the downside
CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
2024-08-20CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
2024-08-22DMI SHORT ENTRY LONG CLOSEThe +DI crossed the -DI to the downside. The trend is reversing to a down trend.
WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
2024-08-23MACD SHORT ENTRY LONG CLOSEThe MACD line crosses below the signal line.
CCI SHORT ENTRY LONG CLOSE-100 crossover to downside
2024-08-26STOCH SHORT EXITThe %K line crosses above the %D line.
2024-08-27STOCH LONG EXITThe %K line crosses below the %D line.
WILLR SHORT ENTRY LONG CLOSE-80 crossover to downside
2024-08-29STOCH SHORT EXITThe %K line crosses above the %D line.
2024-08-30DMI LONG ENTRY SHORT CLOSEThe +DI crossed the -DI to the upside. The trend is reversing to an up trend.
CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
2024-09-02MACD LONG ENTRY SHORT CLOSEThe MACD line crosses above the signal line.
2024-09-04STOCH LONG EXITThe %K line crosses below the %D line.
2024-09-05SAR LONG ENTRY SHORT CLOSEThe price broke the SAR to the upside.
STOCH SHORT EXITThe %K line crosses above the %D line.
WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
2024-09-06STOCH LONG EXITThe %K line crosses below the %D line.
CCI LONG ENTRY SHORT CLOSE100 crossover to upside
2024-09-10STOCH SHORT EXITThe %K line crosses above the %D line.
CCI LONG ENTRY SHORT CLOSE100 crossover to upside
WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
2024-09-12BB SHORT ENTRY LONG CLOSEPrice closed above the lower band.
MFI LONG ENTRY SHORT CLOSE80 crossover to upside
2024-09-13STOCH LONG EXITThe %K line crosses below the %D line.
2024-09-19STOCH SHORT EXITThe %K line crosses above the %D line.
WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
2024-09-23STOCH LONG EXITThe %K line crosses below the %D line.
BB SHORT ENTRY LONG CLOSEPrice closed above the lower band.
2024-09-24STOCH SHORT EXITThe %K line crosses above the %D line.
2024-09-25RSI SHORT ENTRY LONG CLOSE70 crossover to downside
STOCH LONG EXITThe %K line crosses below the %D line.
MFI SHORT ENTRY LONG CLOSE80 crossover to downside
2024-09-26WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
2024-09-27STOCH SHORT EXITThe %K line crosses above the %D line.
BB SHORT ENTRY LONG CLOSEPrice closed above the lower band.
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
2024-09-30ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
2024-10-08STOCH LONG EXITThe %K line crosses below the %D line.
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
MFI LONG ENTRY SHORT CLOSE80 crossover to upside
2024-10-09RSI SHORT ENTRY LONG CLOSE70 crossover to downside
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
MFI SHORT ENTRY LONG CLOSE80 crossover to downside
2024-10-11SAR SHORT ENTRY LONG CLOSEThe price broke the SAR to the downside
2024-10-15STOCH SHORT EXITThe %K line crosses above the %D line.
2024-10-16MACD SHORT ENTRY LONG CLOSEThe MACD line crosses below the signal line.
STOCH LONG EXITThe %K line crosses below the %D line.
2024-10-18STOCH SHORT EXITThe %K line crosses above the %D line.
2024-10-23MACD LONG ENTRY SHORT CLOSEThe MACD line crosses above the signal line.
CCI LONG ENTRY SHORT CLOSE100 crossover to upside
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
2024-10-24STOCH LONG EXITThe %K line crosses below the %D line.
2024-10-25STOCH SHORT EXITThe %K line crosses above the %D line.
ATR LONG ENTRY SHORT CLOSEPrice closed above (close + ATR).
2024-10-28WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
2024-10-29STOCH LONG EXITThe %K line crosses below the %D line.
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
2024-10-31STOCH SHORT EXITThe %K line crosses above the %D line.
2024-11-01MACD SHORT ENTRY LONG CLOSEThe MACD line crosses below the signal line.
STOCH LONG EXITThe %K line crosses below the %D line.
CMO SHORT ENTRY LONG CLOSEZero line crossover to downside
ATR SHORT ENTRY LONG CLOSEPrice closed below (close - ATR).
2024-11-04CMO LONG ENTRY SHORT CLOSEZero line crossover to upside
2024-11-05STOCH SHORT EXITThe %K line crosses above the %D line.
2024-11-08SAR LONG ENTRY SHORT CLOSEThe price broke the SAR to the upside.
CCI LONG ENTRY SHORT CLOSE100 crossover to upside
2024-11-11WILLR LONG ENTRY SHORT CLOSE-20 crossover to upside
2024-11-12STOCH LONG EXITThe %K line crosses below the %D line.
2024-11-14CMO SHORT ENTRY LONG CLOSEZero line crossover to downside

6.3. Candlestick Patterns

Guangdong Silvere Sci and Tech Daily Candlestick Chart
DateCandlestick Pattern

6.4. Technical Score

Let's check the technical score of Guangdong Silvere Sci and Tech based on Penke's default Symbol scanner.

Penke's Symbol Scanner

  
  
IndicatorConditionValue
OpenGreater thanClose6.320
Total1/1 (100.0%)
Penke
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