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Sigma-Aldrich (FRA:SIQ) Piotroski F-Score : 5 (As of May. 02, 2024)


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What is Sigma-Aldrich 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

Sigma-Aldrich has an F-score of 7. It is a good or high score, which usually indicates a very healthy situation.

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

FRA:SIQ' s Piotroski F-Score Range Over the Past 10 Years
Min: 4   Med: 6   Max: 9
Current: 5

During the past 13 years, the highest Piotroski F-Score of Sigma-Aldrich was 9. The lowest was 4. And the median was 6.


Sigma-Aldrich Piotroski F-Score Historical Data

The historical data trend for Sigma-Aldrich'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.

Sigma-Aldrich Piotroski F-Score Chart

Sigma-Aldrich Annual Data
Trend Dec05 Dec06 Dec07 Dec08 Dec09 Dec10 Dec11 Dec12 Dec13 Dec14
Piotroski F-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only 7.00 8.00 5.00 6.00 8.00

Sigma-Aldrich Quarterly Data
Dec10 Mar11 Jun11 Sep11 Dec11 Mar12 Jun12 Sep12 Dec12 Mar13 Jun13 Sep13 Dec13 Mar14 Jun14 Sep14 Dec14 Mar15 Jun15 Sep15
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 9.00 8.00 6.00 6.00 5.00

Competitive Comparison of Sigma-Aldrich's Piotroski F-Score

For the Specialty Chemicals subindustry, Sigma-Aldrich'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.


Sigma-Aldrich's Piotroski F-Score Distribution in the Chemicals Industry

For the Chemicals industry and Basic Materials sector, Sigma-Aldrich's Piotroski F-Score distribution charts can be found below:

* The bar in red indicates where Sigma-Aldrich's Piotroski F-Score falls into.


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 (Sep15) TTM:Last Year (Sep14) TTM:
Net Income was 107.863 + 116.424 + 106.92 + 101.574 = €433 Mil.
Cash Flow from Operations was 126.516 + 141.372 + 137.214 + 174.636 = €580 Mil.
Revenue was 571.755 + 624.624 + 621.027 + 626.373 = €2,444 Mil.
Gross Profit was 293.582 + 330.792 + 317.196 + 319.869 = €1,261 Mil.
Average Total Assets from the begining of this year (Sep14)
to the end of this year (Sep15) was
(3100.896 + 3402.145 + 3797.64 + 3836.646 + 3943.566) / 5 = €3616.1786 Mil.
Total Assets at the begining of this year (Sep14) was €3,101 Mil.
Long-Term Debt & Capital Lease Obligation was €267 Mil.
Total Current Assets was €2,229 Mil.
Total Current Liabilities was €450 Mil.
Net Income was 95.63 + 91.098 + 97.888 + 83.808 = €368 Mil.

Revenue was 499.32 + 498.147 + 515.936 + 535.44 = €2,049 Mil.
Gross Profit was 249.66 + 253.773 + 263.488 + 270.048 = €1,037 Mil.
Average Total Assets from the begining of last year (Sep13)
to the end of last year (Sep14) was
(2826.692 + 2777.65 + 2785.719 + 2932.96 + 3100.896) / 5 = €2884.7834 Mil.
Total Assets at the begining of last year (Sep13) was €2,827 Mil.
Long-Term Debt & Capital Lease Obligation was €233 Mil.
Total Current Assets was €1,693 Mil.
Total Current Liabilities was €291 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.

Sigma-Aldrich's current Net Income (TTM) was 433. ==> 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.

Sigma-Aldrich's current Cash Flow from Operations (TTM) was 580. ==> 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 (Sep14)
=432.781/3100.896
=0.13956643

ROA (Last Year)=Net Income/Total Assets (Sep13)
=368.424/2826.692
=0.13033751

Sigma-Aldrich's return on assets of this year was 0.13956643. Sigma-Aldrich's return on assets of last year was 0.13033751. ==> This year is higher. ==> Score 1.

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.

Sigma-Aldrich's current Net Income (TTM) was 433. Sigma-Aldrich's current Cash Flow from Operations (TTM) was 580. ==> 580 > 433 ==> 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: Sep15)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Sep14 to Sep15
=267.3/3616.1786
=0.07391781

Gearing (Last Year: Sep14)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Sep13 to Sep14
=232.8/2884.7834
=0.0806993

Sigma-Aldrich's gearing of this year was 0.07391781. Sigma-Aldrich's gearing of last year was 0.0806993. ==> This year is lower or equal to last year. ==> Score 1.

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: Sep15)=Total Current Assets/Total Current Liabilities
=2229.282/449.955
=4.95445545

Current Ratio (Last Year: Sep14)=Total Current Assets/Total Current Liabilities
=1693.232/291
=5.81866667

Sigma-Aldrich's current ratio of this year was 4.95445545. Sigma-Aldrich's current ratio of last year was 5.81866667. ==> 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.

Sigma-Aldrich's number of shares in issue this year was 121. Sigma-Aldrich's number of shares in issue last year was 120. ==> There is larger number of shares in issue this year. ==> Score 0.

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
=1261.439/2443.779
=0.51618375

Gross Margin (Last Year: TTM)=Gross Profit/Revenue
=1036.969/2048.843
=0.50612419

Sigma-Aldrich's gross margin of this year was 0.51618375. Sigma-Aldrich's gross margin of last year was 0.50612419. ==> 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 (Sep14)
=2443.779/3100.896
=0.78808802

Asset Turnover (Last Year)=Revenue/Total Assets at the Beginning of Last Year (Sep13)
=2048.843/2826.692
=0.72482004

Sigma-Aldrich's asset turnover of this year was 0.78808802. Sigma-Aldrich's asset turnover of last year was 0.72482004. ==> This year's asset turnover is higher. ==> Score 1.

Evaluation

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

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

Sigma-Aldrich has an F-score of 7. It is a good or high score, which usually indicates a very healthy situation.

Sigma-Aldrich  (FRA:SIQ) 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.


Sigma-Aldrich Piotroski F-Score Related Terms

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Sigma-Aldrich (FRA:SIQ) Business Description

Traded in Other Exchanges
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Address
Sigma-Aldrich Corp was incorporated under the laws of the State of Delaware in May 1975. The Company is a life science and a technology company that helps in enhancing human health and safety. The Company manufactures and distributes chemicals, biochemicals and other essential products and equipment products to its customers in research and applied labs as well as in industrial and commercial markets. The Company operates in three units including Research, Applied and SAFC Commercial. The Research unit products and services includes chemicals, reagents and kits, enabling the scientists to discover and develop new drugs and materials; Applied unit products and services includes high quality components and kits, chemical reagents, critical raw materials and certified reference standards, providing customized solutions to and constitute critical components and materials for diagnostic companies, testing laboratories and industrial companies; SAFC Commercial unit's products and services are used by its customers to develop and manufacture pharma, biopharma and electronics products. Its customers include pharmaceutical companies, universities, commercial laboratories, industrial companies, biotechnology companies, non-profit organizations, governmental institutions, diagnostic, chemical and electronics companies and hospitals. The Company's trademarks are the brand names; Sigma-Aldrich, Sigma, Aldrich, Fluka, Riedel-de Haën, Supelco, SAFC, SAFC Biosciences, SAFC Hitech, Genosys, Proligo, Pharmorphix, Cerilliant, Vetec, BioReliance and Cell Marque. The Company is subject to extensive regulation by federal, state and local governments and similar international agencies relating to the manufacture, sale and distribution of its products.

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