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Grupo de Inversiones Suramericana (Grupo de Inversiones Suramericana) Beneish M-Score : -2.13 (As of Jun. 07, 2024)


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What is Grupo de Inversiones Suramericana 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 -2.13 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for Grupo de Inversiones Suramericana's Beneish M-Score or its related term are showing as below:

GIVSY' s Beneish M-Score Range Over the Past 10 Years
Min: -4.74   Med: -2.43   Max: 12.91
Current: -2.13

During the past 13 years, the highest Beneish M-Score of Grupo de Inversiones Suramericana was 12.91. The lowest was -4.74. And the median was -2.43.


Grupo de Inversiones Suramericana 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 Grupo de Inversiones Suramericana 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 * 0.981+0.528 * 1+0.404 * 0.999+0.892 * 1.3111+0.115 * 1.029
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.8839+4.679 * 0.053627-0.327 * 0.8808
=-1.91

* 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 $1,055 Mil.
Revenue was 3494.211 + 2518.456 + 1947.071 + 2165.787 = $10,126 Mil.
Gross Profit was 3494.211 + 2518.456 + 1947.071 + 2165.787 = $10,126 Mil.
Total Current Assets was $0 Mil.
Total Assets was $23,065 Mil.
Property, Plant and Equipment(Net PPE) was $490 Mil.
Depreciation, Depletion and Amortization(DDA) was $146 Mil.
Selling, General, & Admin. Expense(SGA) was $477 Mil.
Total Current Liabilities was $0 Mil.
Long-Term Debt & Capital Lease Obligation was $1,989 Mil.
Net Income was 1250.666 + 101.343 + 76.577 + -2.507 = $1,426 Mil.
Non Operating Income was 42.904 + 236.86 + 34.961 + 45.731 = $360 Mil.
Cash Flow from Operations was 41.757 + -487.728 + 130.486 + 144.193 = $-171 Mil.
Total Receivables was $820 Mil.
Revenue was 1820.744 + 2621.647 + 1307.874 + 1972.646 = $7,723 Mil.
Gross Profit was 1820.744 + 2621.647 + 1307.874 + 1972.646 = $7,723 Mil.
Total Current Assets was $0 Mil.
Total Assets was $20,567 Mil.
Property, Plant and Equipment(Net PPE) was $417 Mil.
Depreciation, Depletion and Amortization(DDA) was $129 Mil.
Selling, General, & Admin. Expense(SGA) was $412 Mil.
Total Current Liabilities was $0 Mil.
Long-Term Debt & Capital Lease Obligation was $2,013 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)
=(1054.578 / 10125.525) / (819.881 / 7722.911)
=0.10415 / 0.106162
=0.981

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)
=(7722.911 / 7722.911) / (10125.525 / 10125.525)
=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 + 489.848) / 23065.077) / (1 - (0 + 416.586) / 20567.017)
=0.978762 / 0.979745
=0.999

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
=10125.525 / 7722.911
=1.3111

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))
=(128.916 / (128.916 + 416.586)) / (146.048 / (146.048 + 489.848))
=0.236325 / 0.229673
=1.029

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)
=(477.07 / 10125.525) / (411.667 / 7722.911)
=0.047116 / 0.053305
=0.8839

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)
=((1988.763 + 0) / 23065.077) / ((2013.331 + 0) / 20567.017)
=0.086224 / 0.097891
=0.8808

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
=(1426.079 - 360.456 - -171.292) / 23065.077
=0.053627

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.

Grupo de Inversiones Suramericana has a M-score of -1.91 suggests that the company is unlikely to be a manipulator.


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Grupo de Inversiones Suramericana (Grupo de Inversiones Suramericana) Business Description

Traded in Other Exchanges
Address
Carrera 43A, Number 5A - 113, Ed. One Plaza, North Tower, El Poblado, Medellin, COL, 05001000
Grupo de Inversiones Suramericana SA is a Latin American investment holding company with holdings in Colombian entities. Grupo Sura also holds stakes in companies throughout the Americas, including Chile, Mexico, Peru, Colombia, and Uruguay. The group's investment portfolio is mostly concentrated in the financial, pension, insurance, social security, and complimentary services industries. The company also holds smaller stakes in processed food, cement, and energy companies. Grupo Sura targets companies that emphasize innovation and offer complementary services across its portfolio holdings.