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The zones of discrimination were as such:
Good or high score = 7, 8, 9
Bad or low score = 0, 1, 2, 3
SoFi Technologies has an F-score of 4 indicating the company's financial situation is typical for a stable company.
The historical rank and industry rank for SoFi Technologies's Piotroski F-Score or its related term are showing as below:
During the past 7 years, the highest Piotroski F-Score of SoFi Technologies was 4. The lowest was 3. And the median was 4.
The historical data trend for SoFi Technologies'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.
SoFi Technologies Annual Data | ||||||||||||||||
Trend | Dec18 | Dec19 | Dec20 | Dec21 | Dec22 | Dec23 | Dec24 | |||||||||
Piotroski F-Score | Get a 7-Day Free Trial | N/A | N/A | 4.00 | 3.00 | 4.00 |
SoFi Technologies Quarterly Data | ||||||||||||||||||||
Dec19 | 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 |
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3.00 | 3.00 | 3.00 | 4.00 | 4.00 |
For the Credit Services subindustry, SoFi Technologies'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.
For the Credit Services industry and Financial Services sector, SoFi Technologies's Piotroski F-Score distribution charts can be found below:
* The bar in red indicates where SoFi Technologies'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 (Dec24) TTM: | Last Year (Dec23) TTM: |
Net Income was 81 + 16.168 + 54.731 + 317.512 = €469 Mil. Cash Flow from Operations was 679.188 + -449.981 + -1057.396 + -191.098 = €-1,019 Mil. Revenue was 538.937 + 556.116 + 625.112 + 701.089 = €2,421 Mil. Average Total Assets from the begining of this year (Dec23) to the end of this year (Dec24) was (27578.645 + 28801.299 + 30324.398 + 30976.539 + 34619.658) / 5 = €30460.1078 Mil. Total Assets at the begining of this year (Dec23) was €27,579 Mil. Long-Term Debt & Capital Lease Obligation was €2,596 Mil. Total Assets was €34,620 Mil. Total Liabilities was €28,388 Mil. |
Net Income was -32.15 + -43.888 + -249.883 + 43.936 = €-282 Mil. Revenue was 440.996 + 459.671 + 503.365 + 550.961 = €1,955 Mil. Average Total Assets from the begining of last year (Dec22) to the end of last year (Dec23) was (17943.245 + 20971.066 + 23593.217 + 26214.592 + 27578.645) / 5 = €23260.153 Mil. Total Assets at the begining of last year (Dec22) was €17,943 Mil. Long-Term Debt & Capital Lease Obligation was €4,472 Mil. Total Assets was €27,579 Mil. Total Liabilities was €22,485 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.
SoFi Technologies's current Net Income (TTM) was 469.
==> 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.
SoFi Technologies's current Cash Flow from Operations (TTM) was -1,019.
==> 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 (Dec23) |
= | 469.411 | / | 27578.645 | |
= | 0.01702081 |
ROA (Last Year) | = | Net Income | / | Total Assets (Dec22) |
= | -281.985 | / | 17943.245 | |
= | -0.01571538 |
SoFi Technologies's return on assets of this year was 0.01702081. SoFi Technologies's return on assets of last year was -0.01571538.
==> 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.
SoFi Technologies's current Net Income (TTM) was 469. SoFi Technologies's current Cash Flow from Operations (TTM) was -1,019.
==> -1,019 <= 469 ==> 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.
Gearing (This Year: Dec24) | = | Long-Term Debt & Capital Lease Obligation | / | Average Total Assets from Dec23 to Dec24 |
= | 2595.891 | / | 30460.1078 | |
= | 0.08522265 |
Gearing (Last Year: Dec23) | = | Long-Term Debt & Capital Lease Obligation | / | Average Total Assets from Dec22 to Dec23 |
= | 4471.872 | / | 23260.153 | |
= | 0.19225463 |
SoFi Technologies's gearing of this year was 0.08522265. SoFi Technologies's gearing of last year was 0.19225463.
==> 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
* Note that for banks and insurance companies, there's no Total Current Assets and Total Current Liabilities reported. Thus, we use Total Assets and Total Liabilities to calculate current ratio for banks and insurance companies.
Current Ratio (This Year: Dec24) | = | Total Assets | / | Total Liabilities |
= | 34619.658 | / | 28388.155 | |
= | 1.21951067 |
Current Ratio (Last Year: Dec23) | = | Total Assets | / | Total Liabilities |
= | 27578.645 | / | 22484.723 | |
= | 1.22655036 |
SoFi Technologies's current ratio of this year was 1.21951067. SoFi Technologies's current ratio of last year was 1.22655036.
==> 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.
SoFi Technologies's number of shares in issue this year was 1170.353. SoFi Technologies's number of shares in issue last year was 962.885.
==> 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.
* Note that for banks and insurance companies, there's no Gross Profit reported. Thus, we use net income instead of gross profit and calculate Net Margin for this score.
Net Margin (This Year: TTM) | = | Net Income | / | Revenue |
= | 469.411 | / | 2421.254 | |
= | 0.19387103 |
Net Margin (Last Year: TTM) | = | Net Income | / | Revenue |
= | -281.985 | / | 1954.993 | |
= | -0.14423837 |
SoFi Technologies's net margin of this year was 0.19387103. SoFi Technologies's net margin of last year was -0.14423837.
==> This year's net 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) |
= | 2421.254 | / | 27578.645 | |
= | 0.08779452 |
Asset Turnover (Last Year) | = | Revenue | / | Total Assets at the Beginning of Last Year (Dec22) |
= | 1954.993 | / | 17943.245 | |
= | 0.10895426 |
SoFi Technologies's asset turnover of this year was 0.08779452. SoFi Technologies's asset turnover of last year was 0.10895426.
==> 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 | + | 0 | + | 1 | + | 0 | + | 1 | + | 0 | + | 0 | + | 1 | + | 0 | |
= | 4 |
Good or high score = 7, 8, 9
Bad or low score = 0, 1, 2, 3
SoFi Technologies has an F-score of 4 indicating the company's financial situation is typical for a stable company.
SoFi Technologies (FRA:6B0) 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.
Thank you for viewing the detailed overview of SoFi Technologies's Piotroski F-Score provided by GuruFocus.com. Please click on the following links to see related term pages.
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