Dicker Data (FRA:D0D) Piotroski F-Score : 4 (As of May. 05, 2024)

Dicker Data Piotroski F-Score Chart

Dicker Data Annual Data
	Trend	Jun14	Dec15	Dec16	Dec17	Dec18	Dec19	Dec20	Dec21	Dec22	Dec23
Piotroski F-Score		Get a 7-Day Free Trial					6.00	6.00	4.00	4.00	4.00

Dicker Data Semi-Annual Data
	Jun14	Dec14	Jun15	Dec15	Jun16	Dec16	Jun17	Dec17	Jun18	Dec18	Jun19	Dec19	Jun20	Dec20	Jun21	Dec21	Jun22	Dec22	Jun23	Dec23
Piotroski F-Score	Get a 7-Day Free Trial															4.00	-	4.00	-	4.00

Competitive Comparison of Dicker Data's Piotroski F-Score

For the Electronics & Computer Distribution subindustry, Dicker Data'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.

Dicker Data's Piotroski F-Score Distribution in the Hardware Industry

For the Hardware industry and Technology sector, Dicker Data's Piotroski F-Score distribution charts can be found below:

* The bar in red indicates where Dicker Data'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.

*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.

Dicker Data's current Net Income (TTM) was 50. ==> 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.

Dicker Data's current Cash Flow from Operations (TTM) was 43. ==> 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.

Dicker Data's return on assets of this year was 0.07420216. Dicker Data's return on assets of last year was 0.08605326. ==> 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.

Dicker Data's current Net Income (TTM) was 50. Dicker Data's current Cash Flow from Operations (TTM) was 43. ==> 43 <= 50 ==> CFROA <= ROA ==> Score 0.

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.

Dicker Data's gearing of this year was 0.01930161. Dicker Data's gearing of last year was 0.06932662. ==> 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

Dicker Data's current ratio of this year was 1.10596393. Dicker Data's current ratio of last year was 1.13711292. ==> 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.

Dicker Data's number of shares in issue this year was 180.176. Dicker Data's number of shares in issue last year was 174.763. ==> 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.

Dicker Data's gross margin of this year was 0.13965693. Dicker Data's gross margin of last year was 0.09139519. ==> 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

Dicker Data's asset turnover of this year was 2.04090391. Dicker Data's asset turnover of last year was 3.65630479. ==> Last year's asset turnover is higher ==> Score 0.

Evaluation

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

Dicker Data has an F-score of 4 indicating the company's financial situation is typical for a stable company.

Dicker Data  (FRA:D0D) 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.

Dicker Data Piotroski F-Score Related Terms

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Dicker Data (FRA:D0D) Business Description