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Inesa Intelligent Tech (SHSE:600602) Piotroski F-Score : 5 (As of Apr. 22, 2025)


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What is Inesa Intelligent Tech Piotroski F-Score?

The zones of discrimination were as such:

Good or high score = 7, 8, 9
Bad or low score = 0, 1, 2, 3

Inesa Intelligent Tech has an F-score of 5 indicating the company's financial situation is typical for a stable company.

The historical rank and industry rank for Inesa Intelligent Tech's Piotroski F-Score or its related term are showing as below:

SHSE:600602' s Piotroski F-Score Range Over the Past 10 Years
Min: 3   Med: 5   Max: 7
Current: 5

During the past 13 years, the highest Piotroski F-Score of Inesa Intelligent Tech was 7. The lowest was 3. And the median was 5.


Inesa Intelligent Tech Piotroski F-Score Historical Data

The historical data trend for Inesa Intelligent Tech's Piotroski F-Score can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

* Premium members only.

Inesa Intelligent Tech Piotroski F-Score Chart

Inesa Intelligent Tech Annual Data
Trend Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24
Piotroski F-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only 5.00 5.00 3.00 7.00 5.00

Inesa Intelligent Tech Quarterly Data
Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24
Piotroski F-Score Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 7.00 7.00 6.00 7.00 5.00

Competitive Comparison of Inesa Intelligent Tech's Piotroski F-Score

For the Software - Infrastructure subindustry, Inesa Intelligent Tech's Piotroski F-Score, along with its competitors' market caps and Piotroski F-Score data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


Inesa Intelligent Tech's Piotroski F-Score Distribution in the Software Industry

For the Software industry and Technology sector, Inesa Intelligent Tech's Piotroski F-Score distribution charts can be found below:

* The bar in red indicates where Inesa Intelligent Tech's Piotroski F-Score falls into.


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How is the Piotroski F-Score calculated?

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

This Year (Dec24) TTM:Last Year (Dec23) TTM:
Net Income was 60.016 + 52.989 + 44.925 + 44.465 = ¥202 Mil.
Cash Flow from Operations was -430.646 + 129.371 + 32.085 + 616.926 = ¥348 Mil.
Revenue was 1425.259 + 1464.806 + 1121.848 + 1610.824 = ¥5,623 Mil.
Gross Profit was 260.781 + 281.447 + 243.626 + 298.795 = ¥1,085 Mil.
Average Total Assets from the begining of this year (Dec23)
to the end of this year (Dec24) was
(7749.995 + 6870.434 + 6645.959 + 6977.369 + 7842.397) / 5 = ¥7217.2308 Mil.
Total Assets at the begining of this year (Dec23) was ¥7,750 Mil.
Long-Term Debt & Capital Lease Obligation was ¥272 Mil.
Total Current Assets was ¥4,516 Mil.
Total Current Liabilities was ¥2,682 Mil.
Net Income was 41.665 + 51.128 + 63.229 + 36.89 = ¥193 Mil.

Revenue was 1107.751 + 1390.252 + 1207.989 + 1557.812 = ¥5,264 Mil.
Gross Profit was 209.998 + 256.248 + 231.232 + 249.477 = ¥947 Mil.
Average Total Assets from the begining of last year (Dec22)
to the end of last year (Dec23) was
(7217.777 + 7024.435 + 6796.094 + 6900.953 + 7749.995) / 5 = ¥7137.8508 Mil.
Total Assets at the begining of last year (Dec22) was ¥7,218 Mil.
Long-Term Debt & Capital Lease Obligation was ¥236 Mil.
Total Current Assets was ¥6,496 Mil.
Total Current Liabilities was ¥2,773 Mil.

*Note: If the latest quarterly/semi-annual/annual total assets data is 0, then we will use previous quarterly/semi-annual/annual data for all the items in the balance sheet.

Profitability

Question 1. Return on Assets (ROA)

Net income before extraordinary items for the year divided by Total Assets at the beginning of the year.

Score 1 if positive, 0 if negative.

Inesa Intelligent Tech's current Net Income (TTM) was 202. ==> Positive ==> Score 1.

Question 2. Cash Flow Return on Assets (CFROA)

Net cash flow from operating activities (operating cash flow) divided by Total Assets at the beginning of the year.

Score 1 if positive, 0 if negative.

Inesa Intelligent Tech's current Cash Flow from Operations (TTM) was 348. ==> Positive ==> Score 1.

Question 3. Change in Return on Assets

Compare this year's return on assets (1) to last year's return on assets.

Score 1 if it's higher, 0 if it's lower.

ROA (This Year)=Net Income/Total Assets (Dec23)
=202.395/7749.995
=0.0261155

ROA (Last Year)=Net Income/Total Assets (Dec22)
=192.912/7217.777
=0.02672734

Inesa Intelligent Tech's return on assets of this year was 0.0261155. Inesa Intelligent Tech's return on assets of last year was 0.02672734. ==> Last year is higher ==> Score 0.

Question 4. Quality of Earnings (Accrual)

Compare Cash flow return on assets (2) to return on assets (1)

Score 1 if CFROA > ROA, 0 if CFROA <= ROA.

Inesa Intelligent Tech's current Net Income (TTM) was 202. Inesa Intelligent Tech's current Cash Flow from Operations (TTM) was 348. ==> 348 > 202 ==> CFROA > ROA ==> Score 1.

Funding

Question 5. Change in Gearing or Leverage

Compare this year's gearing (long-term debt divided by average total assets) to last year's gearing.

Score 0 if this year's gearing is higher, 1 otherwise.

Gearing (This Year: Dec24)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Dec23 to Dec24
=272.396/7217.2308
=0.03774245

Gearing (Last Year: Dec23)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Dec22 to Dec23
=235.855/7137.8508
=0.03304286

Inesa Intelligent Tech's gearing of this year was 0.03774245. Inesa Intelligent Tech's gearing of last year was 0.03304286. ==> Last year is lower than this year ==> Score 0.

Question 6. Change in Working Capital (Liquidity)

Compare this year's current ratio (current assets divided by current liabilities) to last year's current ratio.

Score 1 if this year's current ratio is higher, 0 if it's lower

Current Ratio (This Year: Dec24)=Total Current Assets/Total Current Liabilities
=4516.04/2681.832
=1.68393844

Current Ratio (Last Year: Dec23)=Total Current Assets/Total Current Liabilities
=6495.69/2773.049
=2.34243607

Inesa Intelligent Tech's current ratio of this year was 1.68393844. Inesa Intelligent Tech's current ratio of last year was 2.34243607. ==> Last year's current ratio is higher ==> Score 0.

Question 7. Change in Shares in Issue

Compare the number of shares in issue this year, to the number in issue last year.

Score 0 if there is larger number of shares in issue this year, 1 otherwise.

Inesa Intelligent Tech's number of shares in issue this year was 1368.044. Inesa Intelligent Tech's number of shares in issue last year was 1370.428. ==> There is smaller number of shares in issue this year, or the same. ==> Score 1.

Efficiency

Question 8. Change in Gross Margin

Compare this year's gross margin (Gross Profit divided by sales) to last year's.

Score 1 if this year's gross margin is higher, 0 if it's lower.

Gross Margin (This Year: TTM)=Gross Profit/Revenue
=1084.649/5622.737
=0.1929041

Gross Margin (Last Year: TTM)=Gross Profit/Revenue
=946.955/5263.804
=0.17989937

Inesa Intelligent Tech's gross margin of this year was 0.1929041. Inesa Intelligent Tech's gross margin of last year was 0.17989937. ==> This year's gross margin is higher. ==> Score 1.

Question 9. Change in asset turnover

Compare this year's asset turnover (total sales for the year divided by total assets at the beginning of the year) to last year's asset turnover ratio.

Score 1 if this year's asset turnover ratio is higher, 0 if it's lower

Asset Turnover (This Year)=Revenue/Total Assets at the Beginning of This Year (Dec23)
=5622.737/7749.995
=0.72551492

Asset Turnover (Last Year)=Revenue/Total Assets at the Beginning of Last Year (Dec22)
=5263.804/7217.777
=0.72928327

Inesa Intelligent Tech's asset turnover of this year was 0.72551492. Inesa Intelligent Tech's asset turnover of last year was 0.72928327. ==> Last year's asset turnover is higher ==> Score 0.

Evaluation

Piotroski F-Score= Que. 1+ Que. 2+ Que. 3+Que. 4+Que. 5+Que. 6+Que. 7+Que. 8+Que. 9
=1+1+0+1+0+0+1+1+0
=5

Good or high score = 7, 8, 9
Bad or low score = 0, 1, 2, 3

Inesa Intelligent Tech has an F-score of 5 indicating the company's financial situation is typical for a stable company.

Inesa Intelligent Tech  (SHSE:600602) Piotroski F-Score Explanation

The developer of the system is Joseph D. Piotroski is relatively unknown accounting professor who shuns publicity and rarely gives interviews.

He graduated from the University of Illinois with a B.S. in accounting in 1989, received an M.B.A. from Indiana University in 1994. Five years later, in 1999, after earning a Ph.D. in accounting from the University of Michigan, he became an associate professor of accounting at the University of Chicago.

In 2000, he wrote a research paper called "Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers" (pdf).

He wanted to see if he can develop a system (using a simple nine-point scoring system) that can increase the returns of a strategy of investing in low price to book (referred to in the paper as high book to market) value companies.

What he found was something that exceeded his most optimistic expectations.

Buying only those companies that scored highest (8 or 9) on his nine-point scale, or F-Score as he called it, over the 20 year period from 1976 to 1996 led to an average out-performance over the market of 13.4%.

Even more impressive were the results of a strategy of investing in the highest F-Score companies (8 or 9) and shorting companies with the lowest F-Score (0 or 1).

Over the same period from 1976 to 1996 (20 years) this strategy led to an average yearly return of 23%, substantially outperforming the average S&P 500 index return of 15.83% over the same period.


Inesa Intelligent Tech Piotroski F-Score Related Terms

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Inesa Intelligent Tech Business Description

Traded in Other Exchanges
Address
No. 200 Zhang Heng Road, Zhangjiang Hi-Tech Park, Building 1, 2nd Floor, Pudong New Area, Shanghai, CHN
Inesa Intelligent Tech Inc is an information technology company. It is a cloud computing and big data, business intelligence solutions and products for the core business of specialized information technology services company.

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