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South Plains Financial (STU:4S4) Beneish M-Score : -2.26 (As of May. 22, 2024)


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What is South Plains 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 South Plains Financial's Beneish M-Score or its related term are showing as below:

STU:4S4' s Beneish M-Score Range Over the Past 10 Years
Min: -2.6   Med: -2.29   Max: -1.97
Current: -2.26

During the past 7 years, the highest Beneish M-Score of South Plains Financial was -1.97. The lowest was -2.60. And the median was -2.29.


South Plains 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 South Plains 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 * 1.3281+0.528 * 1+0.404 * 1.001+0.892 * 0.854+0.115 * 1.0751
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0707+4.679 * 0.00282-0.327 * 0.8661
=-2.25

* 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 €15.3 Mil.
Revenue was 41.75 + 39.312 + 43.313 + 40.132 = €164.5 Mil.
Gross Profit was 41.75 + 39.312 + 43.313 + 40.132 = €164.5 Mil.
Total Current Assets was €0.0 Mil.
Total Assets was €3,881.5 Mil.
Property, Plant and Equipment(Net PPE) was €49.9 Mil.
Depreciation, Depletion and Amortization(DDA) was €5.9 Mil.
Selling, General, & Admin. Expense(SGA) was €76.1 Mil.
Total Current Liabilities was €0.0 Mil.
Long-Term Debt & Capital Lease Obligation was €101.4 Mil.
Net Income was 10.004 + 9.467 + 12.644 + 27.397 = €59.5 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = €0.0 Mil.
Cash Flow from Operations was 17.627 + 6.016 + 24.6 + 0.323 = €48.6 Mil.
Total Receivables was €13.5 Mil.
Revenue was 40.773 + 45.002 + 55.186 + 51.663 = €192.6 Mil.
Gross Profit was 40.773 + 45.002 + 55.186 + 51.663 = €192.6 Mil.
Total Current Assets was €0.0 Mil.
Total Assets was €3,790.2 Mil.
Property, Plant and Equipment(Net PPE) was €52.4 Mil.
Depreciation, Depletion and Amortization(DDA) was €6.7 Mil.
Selling, General, & Admin. Expense(SGA) was €83.3 Mil.
Total Current Liabilities was €0.0 Mil.
Long-Term Debt & Capital Lease Obligation was €114.3 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)
=(15.277 / 164.507) / (13.469 / 192.624)
=0.092865 / 0.069924
=1.3281

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)
=(192.624 / 192.624) / (164.507 / 164.507)
=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 + 49.883) / 3881.474) / (1 - (0 + 52.378) / 3790.218)
=0.987148 / 0.986181
=1.001

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
=164.507 / 192.624
=0.854

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))
=(6.672 / (6.672 + 52.378)) / (5.858 / (5.858 + 49.883))
=0.112989 / 0.105093
=1.0751

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)
=(76.141 / 164.507) / (83.265 / 192.624)
=0.462844 / 0.432267
=1.0707

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)
=((101.397 + 0) / 3881.474) / ((114.322 + 0) / 3790.218)
=0.026123 / 0.030162
=0.8661

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
=(59.512 - 0 - 48.566) / 3881.474
=0.00282

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.

South Plains Financial has a M-score of -2.25 suggests that the company is unlikely to be a manipulator.


South Plains Financial Beneish M-Score Related Terms

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South Plains Financial (STU:4S4) Business Description

Traded in Other Exchanges
Address
5219 City Bank Parkway, Lubbock, TX, USA, 79407
South Plains Financial Inc operates as a bank holding company. The company provides a wide range of commercial and consumer financial services to small and medium-sized businesses and individuals. The principal business activities include commercial and retail banking, along with insurance, investment, trust, and mortgage services. The company has two reportable segments: banking and insurance.