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Credit Clear (ASX:CCR) Piotroski F-Score : 3 (As of Jun. 02, 2024)


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What is Credit Clear Piotroski F-Score?

Warning Sign:

Piotroski F-Score of 3 is low, which usually implies poor business operation.

The zones of discrimination were as such:

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

Credit Clear has an F-score of 3. It is a bad or low score, which usually implies poor business operation.

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

ASX:CCR' s Piotroski F-Score Range Over the Past 10 Years
Min: 3   Med: 3   Max: 3
Current: 3

During the past 4 years, the highest Piotroski F-Score of Credit Clear was 3. The lowest was 3. And the median was 3.


Credit Clear Piotroski F-Score Historical Data

The historical data trend for Credit Clear'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.

Credit Clear Piotroski F-Score Chart

Credit Clear Annual Data
Trend Jun20 Jun21 Jun22 Jun23
Piotroski F-Score
N/A N/A 3.00 3.00

Credit Clear Semi-Annual Data
Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23
Piotroski F-Score Get a 7-Day Free Trial - 3.00 - 3.00 -

Competitive Comparison of Credit Clear's Piotroski F-Score

For the Information Technology Services subindustry, Credit Clear'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.


Credit Clear's Piotroski F-Score Distribution in the Software Industry

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

* The bar in red indicates where Credit Clear'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 (Jun23) TTM:Last Year (Jun22) TTM:
Net Income was A$-11.06 Mil.
Cash Flow from Operations was A$-2.78 Mil.
Revenue was A$34.95 Mil.
Gross Profit was A$34.95 Mil.
Average Total Assets from the begining of this year (Jun22)
to the end of this year (Jun23) was (76.78 + 76.843) / 2 = A$76.8115 Mil.
Total Assets at the begining of this year (Jun22) was A$76.78 Mil.
Long-Term Debt & Capital Lease Obligation was A$4.11 Mil.
Total Current Assets was A$21.22 Mil.
Total Current Liabilities was A$10.78 Mil.
Net Income was A$-12.58 Mil.

Revenue was A$21.46 Mil.
Gross Profit was A$21.46 Mil.
Average Total Assets from the begining of last year (Jun21)
to the end of last year (Jun22) was (22.328 + 76.78) / 2 = A$49.554 Mil.
Total Assets at the begining of last year (Jun21) was A$22.33 Mil.
Long-Term Debt & Capital Lease Obligation was A$0.83 Mil.
Total Current Assets was A$19.46 Mil.
Total Current Liabilities was A$14.51 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.

Credit Clear's current Net Income (TTM) was -11.06. ==> Negative ==> Score 0.

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.

Credit Clear's current Cash Flow from Operations (TTM) was -2.78. ==> Negative ==> Score 0.

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 (Jun22)
=-11.058/76.78
=-0.14402188

ROA (Last Year)=Net Income/Total Assets (Jun21)
=-12.577/22.328
=-0.56328377

Credit Clear's return on assets of this year was -0.14402188. Credit Clear's return on assets of last year was -0.56328377. ==> 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.

Credit Clear's current Net Income (TTM) was -11.06. Credit Clear's current Cash Flow from Operations (TTM) was -2.78. ==> -2.78 > -11.06 ==> 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: Jun23)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Jun22 to Jun23
=4.106/76.8115
=0.05345554

Gearing (Last Year: Jun22)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Jun21 to Jun22
=0.832/49.554
=0.01678976

Credit Clear's gearing of this year was 0.05345554. Credit Clear's gearing of last year was 0.01678976. ==> 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: Jun23)=Total Current Assets/Total Current Liabilities
=21.216/10.783
=1.9675415

Current Ratio (Last Year: Jun22)=Total Current Assets/Total Current Liabilities
=19.457/14.51
=1.34093728

Credit Clear's current ratio of this year was 1.9675415. Credit Clear's current ratio of last year was 1.34093728. ==> This year's current ratio is higher. ==> Score 1.

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.

Credit Clear's number of shares in issue this year was 373.318. Credit Clear's number of shares in issue last year was 273.562. ==> 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
=34.951/34.951
=1

Gross Margin (Last Year: TTM)=Gross Profit/Revenue
=21.462/21.462
=1

Credit Clear's gross margin of this year was 1. Credit Clear's gross margin of last year was 1. ==> Last year's gross margin is higher ==> Score 0.

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 (Jun22)
=34.951/76.78
=0.45520969

Asset Turnover (Last Year)=Revenue/Total Assets at the Beginning of Last Year (Jun21)
=21.462/22.328
=0.96121462

Credit Clear's asset turnover of this year was 0.45520969. Credit Clear's asset turnover of last year was 0.96121462. ==> 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
=0+0+1+1+0+1+0+0+0
=3

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

Credit Clear has an F-score of 3. It is a bad or low score, which usually implies poor business operation.

Credit Clear  (ASX:CCR) 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.


Credit Clear Piotroski F-Score Related Terms

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Credit Clear (ASX:CCR) Business Description

Traded in Other Exchanges
N/A
Address
Building 11, 41-43 Bourke Road, Alexandria, NSW, AUS, 2015
Credit Clear Ltd is engaged in the business of providing financial services. The company specializes in receivables management solutions. Its segments include Collections and Legal Services. The company generates maximum revenue from the Collections segment. Geographically, it derives a majority of its revenue from Australia.