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Heartland Financial USA (FRA:1H4) Beneish M-Score : -2.97 (As of May. 25, 2024)


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What is Heartland Financial USA 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 -2.97 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

FRA:1H4' s Beneish M-Score Range Over the Past 10 Years
Min: -2.97   Med: -2.34   Max: -2.14
Current: -2.97

During the past 13 years, the highest Beneish M-Score of Heartland Financial USA was -2.14. The lowest was -2.97. And the median was -2.34.


Heartland Financial USA 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 Heartland Financial USA 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+0.528 * 1+0.404 * 1.0009+0.892 * 0.7588+0.115 * 1.0379
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.3501+4.679 * -0.013625-0.327 * 1.5346
=-2.99

* 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 €0.0 Mil.
Revenue was 167.131 + 38.756 + 163.067 + 168.906 = €537.9 Mil.
Gross Profit was 167.131 + 38.756 + 163.067 + 168.906 = €537.9 Mil.
Total Current Assets was €0.0 Mil.
Total Assets was €17,602.2 Mil.
Property, Plant and Equipment(Net PPE) was €147.7 Mil.
Depreciation, Depletion and Amortization(DDA) was €18.0 Mil.
Selling, General, & Admin. Expense(SGA) was €261.0 Mil.
Total Current Liabilities was €0.0 Mil.
Long-Term Debt & Capital Lease Obligation was €299.2 Mil.
Net Income was 47.57 + -64.523 + 45.061 + 45.611 = €73.7 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0.0 Mil.
Cash Flow from Operations was 119.841 + -107.074 + 198.974 + 101.8 = €313.5 Mil.
Total Receivables was €0.0 Mil.
Revenue was 169.144 + 182.01 + 187.161 + 170.498 = €708.8 Mil.
Gross Profit was 169.144 + 182.01 + 187.161 + 170.498 = €708.8 Mil.
Total Current Assets was €0.0 Mil.
Total Assets was €18,850.5 Mil.
Property, Plant and Equipment(Net PPE) was €174.5 Mil.
Depreciation, Depletion and Amortization(DDA) was €22.2 Mil.
Selling, General, & Admin. Expense(SGA) was €254.7 Mil.
Total Current Liabilities was €0.0 Mil.
Long-Term Debt & Capital Lease Obligation was €208.8 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)
=(0 / 537.86) / (0 / 708.813)
=0 / 0
=1

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)
=(708.813 / 708.813) / (537.86 / 537.86)
=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 + 147.677) / 17602.201) / (1 - (0 + 174.535) / 18850.496)
=0.99161 / 0.990741
=1.0009

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
=537.86 / 708.813
=0.7588

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))
=(22.177 / (22.177 + 174.535)) / (17.995 / (17.995 + 147.677))
=0.112738 / 0.108618
=1.0379

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)
=(260.954 / 537.86) / (254.713 / 708.813)
=0.485171 / 0.359351
=1.3501

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)
=((299.179 + 0) / 17602.201) / ((208.779 + 0) / 18850.496)
=0.016997 / 0.011076
=1.5346

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
=(73.719 - 0 - 313.541) / 17602.201
=-0.013625

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.

Heartland Financial USA has a M-score of -2.99 suggests that the company is unlikely to be a manipulator.


Heartland Financial USA Beneish M-Score Related Terms

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Heartland Financial USA (FRA:1H4) Business Description

Traded in Other Exchanges
Address
1800 Larimer Street, Suite 1800, Denver, CO, USA, 80202
Heartland Financial USA Inc is a multi-bank holding company that offers a wide range of commercial, small business, and consumer banking services to businesses, including public sector and non-profit entities, and individuals. It also provides traditional and non-traditional service channels including online banking, mobile/remote banking, and telephone banking. The company's business lines are Commercial Banking, Agricultural Loans, Small Business Banking, Residential Real Estate Mortgage Lending, Consumer Banking, and Wealth Management and Retirement Plan Services.