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Regions Financial (BSP:R1FC34) Beneish M-Score : -2.53 (As of May. 20, 2024)


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What is Regions Financial 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.

Good Sign:

Beneish M-Score -2.53 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

BSP:R1FC34' s Beneish M-Score Range Over the Past 10 Years
Min: -2.97   Med: -2.46   Max: -1.97
Current: -2.53

During the past 13 years, the highest Beneish M-Score of Regions Financial was -1.97. The lowest was -2.97. And the median was -2.46.


Regions Financial 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 Regions Financial 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 * 1.1248+0.528 * 1+0.404 * 1.0005+0.892 * 0.929+0.115 * 1.3038
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0525+4.679 * -0.004339-0.327 * 1.435
=-2.56

* 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 (Mar24) TTM:Last Year (Mar23) TTM:
Total Receivables was R$2,928 Mil.
Revenue was 8699.711 + 8863.738 + 9171.166 + 9498.691 = R$36,233 Mil.
Gross Profit was 8699.711 + 8863.738 + 9171.166 + 9498.691 = R$36,233 Mil.
Total Current Assets was R$0 Mil.
Total Assets was R$771,416 Mil.
Property, Plant and Equipment(Net PPE) was R$8,142 Mil.
Depreciation, Depletion and Amortization(DDA) was R$1,086 Mil.
Selling, General, & Admin. Expense(SGA) was R$12,839 Mil.
Total Current Liabilities was R$0 Mil.
Long-Term Debt & Capital Lease Obligation was R$16,568 Mil.
Net Income was 1832.566 + 1915.822 + 2419.963 + 2820 = R$8,988 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = R$0 Mil.
Cash Flow from Operations was 1972.001 + 4189.329 + 4247.282 + 1926.919 = R$12,336 Mil.
Total Receivables was R$2,802 Mil.
Revenue was 10161.979 + 10228.53 + 9789.801 + 8823.38 = R$39,004 Mil.
Gross Profit was 10161.979 + 10228.53 + 9789.801 + 8823.38 = R$39,004 Mil.
Total Current Assets was R$0 Mil.
Total Assets was R$802,828 Mil.
Property, Plant and Equipment(Net PPE) was R$8,881 Mil.
Depreciation, Depletion and Amortization(DDA) was R$1,610 Mil.
Selling, General, & Admin. Expense(SGA) was R$13,131 Mil.
Total Current Liabilities was R$0 Mil.
Long-Term Debt & Capital Lease Obligation was R$12,016 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)
=(2928.122 / 36233.306) / (2802.227 / 39003.69)
=0.080813 / 0.071845
=1.1248

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)
=(39003.69 / 39003.69) / (36233.306 / 36233.306)
=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 + 8141.973) / 771415.838) / (1 - (0 + 8880.663) / 802827.561)
=0.989445 / 0.988938
=1.0005

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
=36233.306 / 39003.69
=0.929

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))
=(1609.873 / (1609.873 + 8880.663)) / (1086.178 / (1086.178 + 8141.973))
=0.15346 / 0.117703
=1.3038

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)
=(12838.876 / 36233.306) / (13131.455 / 39003.69)
=0.354339 / 0.336672
=1.0525

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)
=((16567.795 + 0) / 771415.838) / ((12016.24 + 0) / 802827.561)
=0.021477 / 0.014967
=1.435

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
=(8988.351 - 0 - 12335.531) / 771415.838
=-0.004339

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.

Regions Financial has a M-score of -2.56 suggests that the company is unlikely to be a manipulator.


Regions Financial Beneish M-Score Related Terms

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Regions Financial (BSP:R1FC34) Business Description

Traded in Other Exchanges
Address
1900 Fifth Avenue North, Birmingham, AL, USA, 35203
Regions Financial is a regional bank headquartered in Alabama, with branches primarily in the Southeastern and Midwestern United States. Regions primarily provides traditional commercial and retail banking and also offers mortgage services, asset-management, wealth-management, securities brokerage, and trust services.