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SoFi Technologies (MEX:SOFI) Beneish M-Score : -0.21 (As of Apr. 01, 2025)


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What is SoFi Technologies Beneish M-Score?

Note: Financial institutions were excluded from the sample in Beneish paper when calculating Beneish M-Score. Thus, the prediction might not fit banks and insurance companies.

The zones of discrimination for M-Score is as such:

An M-Score of equal or less than -1.78 suggests that the company is unlikely to be a manipulator.
An M-Score of greater than -1.78 signals that the company is likely to be a manipulator.

Warning Sign:

Beneish M-Score -0.21 higher than -1.78, which implies that the company might have manipulated its financial results.

The historical rank and industry rank for SoFi Technologies's Beneish M-Score or its related term are showing as below:

MEX:SOFI' s Beneish M-Score Range Over the Past 10 Years
Min: -0.95   Med: -0.19   Max: 0.18
Current: -0.21

During the past 7 years, the highest Beneish M-Score of SoFi Technologies was 0.18. The lowest was -0.95. And the median was -0.19.


SoFi Technologies Beneish M-Score Calculation

The M-score was created by Professor Messod Beneish. Instead of measuring the bankruptcy risk (Altman Z-Score) or business trend (Piotroski F-Score), M-score can be used to detect the risk of earnings manipulation. This is the original research paper on M-score.

The M-Score Variables:

The M-score of SoFi Technologies for today is based on a combination of the following eight different indices:

M=-4.84+0.92 * DSRI+0.528 * GMI+0.404 * AQI+0.892 * SGI+0.115 * DEPI
=-4.84+0.92 * 3.1325+0.528 * 1+0.404 * 1+0.892 * 1.3567+0.115 * 1.2056
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9142+4.679 * 0.044724-0.327 * 0.4624
=0.22

* 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:
Total Receivables was MXN12,253 Mil.
Revenue was 15310.691 + 13661.091 + 10966.743 + 9722.103 = MXN49,661 Mil.
Gross Profit was 15310.691 + 13661.091 + 10966.743 + 9722.103 = MXN49,661 Mil.
Total Current Assets was MXN0 Mil.
Total Assets was MXN756,039 Mil.
Property, Plant and Equipment(Net PPE) was MXN7,698 Mil.
Depreciation, Depletion and Amortization(DDA) was MXN3,851 Mil.
Selling, General, & Admin. Expense(SGA) was MXN26,531 Mil.
Total Current Liabilities was MXN0 Mil.
Long-Term Debt & Capital Lease Obligation was MXN56,690 Mil.
Net Income was 6933.957 + 1196.087 + 318.843 + 1461.184 = MXN9,910 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = MXN0 Mil.
Cash Flow from Operations was -4173.288 + -23108.162 + -8873.727 + 12252.152 = MXN-23,903 Mil.
Total Receivables was MXN2,883 Mil.
Revenue was 10198.637 + 9357.588 + 8537.971 + 8510.648 = MXN36,605 Mil.
Gross Profit was 10198.637 + 9357.588 + 8537.971 + 8510.648 = MXN36,605 Mil.
Total Current Assets was MXN0 Mil.
Total Assets was MXN510,498 Mil.
Property, Plant and Equipment(Net PPE) was MXN5,203 Mil.
Depreciation, Depletion and Amortization(DDA) was MXN3,498 Mil.
Selling, General, & Admin. Expense(SGA) was MXN21,391 Mil.
Total Current Liabilities was MXN0 Mil.
Long-Term Debt & Capital Lease Obligation was MXN82,777 Mil.




1. DSRI = Days Sales in Receivables Index

Measured as the ratio of Revenue in Total Receivables in year t to year t-1.

A large increase in DSR could be indicative of revenue inflation.

DSRI=(Receivables_t / Revenue_t) / (Receivables_t-1 / Revenue_t-1)
=(12252.64 / 49660.628) / (2883.11 / 36604.844)
=0.246727 / 0.078763
=3.1325

2. GMI = Gross Margin Index

Measured as the ratio of gross margin in year t-1 to gross margin in year t.

Gross margin has deteriorated when this index is above 1. A firm with poorer prospects is more likely to manipulate earnings.

GMI=GrossMargin_t-1 / GrossMargin_t
=(GrossProfit_t-1 / Revenue_t-1) / (GrossProfit_t / Revenue_t)
=(36604.844 / 36604.844) / (49660.628 / 49660.628)
=1 / 1
=1

3. AQI = Asset Quality Index

AQI is the ratio of asset quality in year t to year t-1.

Asset quality is measured as the ratio of non-current assets other than Property, Plant and Equipment to Total Assets.

AQI=(1 - (CurrentAssets_t + PPE_t) / TotalAssets_t) / (1 - (CurrentAssets_t-1 + PPE_t-1) / TotalAssets_t-1)
=(1 - (0 + 7697.589) / 756038.958) / (1 - (0 + 5203.337) / 510498.098)
=0.989819 / 0.989807
=1

4. SGI = Sales Growth Index

Ratio of Revenue in year t to sales in year t-1.

Sales growth is not itself a measure of manipulation. However, growth companies are likely to find themselves under pressure to manipulate in order to keep up appearances.

SGI=Sales_t / Sales_t-1
=Revenue_t / Revenue_t-1
=49660.628 / 36604.844
=1.3567

5. DEPI = Depreciation Index

Measured as the ratio of the rate of Depreciation, Depletion and Amortization in year t-1 to the corresponding rate in year t.

DEPI greater than 1 indicates that assets are being depreciated at a slower rate. This suggests that the firm might be revising useful asset life assumptions upwards, or adopting a new method that is income friendly.

DEPI=(Depreciation_t-1 / (Depreciaton_t-1 + PPE_t-1)) / (Depreciation_t / (Depreciaton_t + PPE_t))
=(3498.363 / (3498.363 + 5203.337)) / (3851.162 / (3851.162 + 7697.589))
=0.402032 / 0.33347
=1.2056

Note: If the Depreciation, Depletion and Amortization data is not available, we assume that the depreciation rate is constant and set the Depreciation Index to 1.

6. SGAI = Sales, General and Administrative expenses Index

The ratio of Selling, General, & Admin. Expense(SGA) to Sales in year t relative to year t-1.

SGA expenses index > 1 means that the company is becoming less efficient in generate sales.

SGAI=(SGA_t / Sales_t) / (SGA_t-1 /Sales_t-1)
=(26530.836 / 49660.628) / (21390.947 / 36604.844)
=0.534243 / 0.584375
=0.9142

7. LVGI = Leverage Index

The ratio of total debt to Total Assets in year t relative to yeat t-1.

An LVGI > 1 indicates an increase in leverage

LVGI=((LTD_t + CurrentLiabilities_t) / TotalAssets_t) / ((LTD_t-1 + CurrentLiabilities_t-1) / TotalAssets_t-1)
=((56690.172 + 0) / 756038.958) / ((82777.178 + 0) / 510498.098)
=0.074983 / 0.16215
=0.4624

8. TATA = Total Accruals to Total Assets

Total accruals calculated as the change in working capital accounts other than cash less depreciation.

TATA=(IncomefromContinuingOperations_t - CashFlowsfromOperations_t) / TotalAssets_t
=(NetIncome_t - NonOperatingIncome_t - CashFlowsfromOperations_t) / TotalAssets_t
=(9910.071 - 0 - -23903.025) / 756038.958
=0.044724

An M-Score of equal or less than -1.78 suggests that the company is unlikely to be a manipulator. An M-Score of greater than -1.78 signals that the company is likely to be a manipulator.

SoFi Technologies has a M-score of 0.22 signals that the company is likely to be a manipulator.


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SoFi Technologies Business Description

Traded in Other Exchanges
Address
234 1st Street, San Francisco, CA, USA, 94105
SoFi is a financial-services company that was founded in 2011 and is based in San Francisco. Initially known for its student loan refinancing business, the company has expanded its product offerings to include personal loans, credit cards, mortgages, investment accounts, banking services, and financial planning. The company intends to be a one-stop shop for its clients' finances and operates solely through its mobile app and website. Through its acquisition of Galileo in 2020, the company also offers payment and account services for debit cards and digital banking.