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Regions Financial (BSP:R1FC34) Beneish M-Score : -2.26 (As of Apr. 30, 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 -2.26 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: -2.81   Med: -2.45   Max: -1.93
Current: -2.26

During the past 13 years, the highest Beneish M-Score of Regions Financial was -1.93. The lowest was -2.81. And the median was -2.45.


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 * 1.096+0.528 * 1+0.404 * 1.0573+0.892 * 1.0241+0.115 * 1.3088
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.987+4.679 * -0.001396-0.327 * 1.0404
=-2.33

* 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 (Dec23) TTM:Last Year (Dec22) TTM:
Total Receivables was R$3,008 Mil.
Revenue was 8863.738 + 9171.166 + 9498.691 + 10151.561 = R$37,685 Mil.
Gross Profit was 8863.738 + 9171.166 + 9498.691 + 10151.561 = R$37,685 Mil.
Total Current Assets was R$159,439 Mil.
Total Assets was R$745,720 Mil.
Property, Plant and Equipment(Net PPE) was R$8,045 Mil.
Depreciation, Depletion and Amortization(DDA) was R$1,175 Mil.
Selling, General, & Admin. Expense(SGA) was R$12,693 Mil.
Total Current Liabilities was R$0 Mil.
Long-Term Debt & Capital Lease Obligation was R$11,417 Mil.
Net Income was 1915.822 + 2419.963 + 2820 + 3187.663 = R$10,343 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = R$0 Mil.
Cash Flow from Operations was 4189.329 + 4247.282 + 1926.919 + 1020.886 = R$11,384 Mil.
Total Receivables was R$2,680 Mil.
Revenue was 10228.53 + 9789.801 + 8823.38 + 7957.264 = R$36,799 Mil.
Gross Profit was 10228.53 + 9789.801 + 8823.38 + 7957.264 = R$36,799 Mil.
Total Current Assets was R$208,090 Mil.
Total Assets was R$814,191 Mil.
Property, Plant and Equipment(Net PPE) was R$9,012 Mil.
Depreciation, Depletion and Amortization(DDA) was R$1,804 Mil.
Selling, General, & Admin. Expense(SGA) was R$12,558 Mil.
Total Current Liabilities was R$0 Mil.
Long-Term Debt & Capital Lease Obligation was R$11,980 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)
=(3008.477 / 37685.156) / (2680.399 / 36798.975)
=0.079832 / 0.072839
=1.096

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)
=(36798.975 / 36798.975) / (37685.156 / 37685.156)
=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 - (159439.492 + 8045.472) / 745720.161) / (1 - (208090.263 + 9011.597) / 814190.988)
=0.775405 / 0.733353
=1.0573

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
=37685.156 / 36798.975
=1.0241

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))
=(1804.253 / (1804.253 + 9011.597)) / (1175.29 / (1175.29 + 8045.472))
=0.166816 / 0.127461
=1.3088

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)
=(12692.927 / 37685.156) / (12558.328 / 36798.975)
=0.336815 / 0.341268
=0.987

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)
=((11416.534 + 0) / 745720.161) / ((11980.494 + 0) / 814190.988)
=0.015309 / 0.014715
=1.0404

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
=(10343.448 - 0 - 11384.416) / 745720.161
=-0.001396

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 -2.33 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.