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InRetail Peru (LIM:INRETC1) Beneish M-Score : -2.88 (As of May. 08, 2024)


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What is InRetail Peru Beneish M-Score?

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 -2.88 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

LIM:INRETC1' s Beneish M-Score Range Over the Past 10 Years
Min: -3.03   Med: -2.74   Max: 10.37
Current: -2.88

During the past 13 years, the highest Beneish M-Score of InRetail Peru was 10.37. The lowest was -3.03. And the median was -2.74.


InRetail Peru Beneish M-Score Historical Data

The historical data trend for InRetail Peru's Beneish M-Score can be seen below:

* 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.

* Premium members only.

InRetail Peru Beneish M-Score Chart

InRetail Peru Annual Data
Trend Dec13 Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22
Beneish M-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only -1.55 -2.89 -2.79 -2.74 -2.53

InRetail Peru Quarterly Data
Dec18 Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23
Beneish M-Score Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -2.52 -2.53 -2.71 -2.83 -2.88

Competitive Comparison of InRetail Peru's Beneish M-Score

For the Department Stores subindustry, InRetail Peru's Beneish M-Score, along with its competitors' market caps and Beneish M-Score data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


InRetail Peru's Beneish M-Score Distribution in the Retail - Cyclical Industry

For the Retail - Cyclical industry and Consumer Cyclical sector, InRetail Peru's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where InRetail Peru's Beneish M-Score falls into.



InRetail Peru 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 InRetail Peru 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 * 0.9298+0.528 * 0.9998+0.404 * 0.9708+0.892 * 1.0849+0.115 * 0.9026
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9466+4.679 * -0.087047-0.327 * 0.9676
=-2.88

* 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 (Sep23) TTM:Last Year (Sep22) TTM:
Total Receivables was $275 Mil.
Revenue was 1370.242 + 1391.172 + 1362.414 + 1448.686 = $5,573 Mil.
Gross Profit was 390.25 + 388.464 + 377.68 + 404.687 = $1,561 Mil.
Total Current Assets was $1,300 Mil.
Total Assets was $5,476 Mil.
Property, Plant and Equipment(Net PPE) was $1,799 Mil.
Depreciation, Depletion and Amortization(DDA) was $230 Mil.
Selling, General, & Admin. Expense(SGA) was $707 Mil.
Total Current Liabilities was $1,516 Mil.
Long-Term Debt & Capital Lease Obligation was $2,267 Mil.
Net Income was 48.755 + 59.606 + 55.949 + 68 = $232 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was 145.607 + 159.433 + 86.322 + 317.617 = $709 Mil.
Total Receivables was $272 Mil.
Revenue was 1320.831 + 1268.217 + 1255.464 + 1292.113 = $5,137 Mil.
Gross Profit was 376.562 + 352.321 + 342.697 + 367.06 = $1,439 Mil.
Total Current Assets was $1,260 Mil.
Total Assets was $5,315 Mil.
Property, Plant and Equipment(Net PPE) was $1,678 Mil.
Depreciation, Depletion and Amortization(DDA) was $191 Mil.
Selling, General, & Admin. Expense(SGA) was $689 Mil.
Total Current Liabilities was $1,552 Mil.
Long-Term Debt & Capital Lease Obligation was $2,243 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)
=(274.547 / 5572.514) / (272.188 / 5136.625)
=0.049268 / 0.05299
=0.9298

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)
=(1438.64 / 5136.625) / (1561.081 / 5572.514)
=0.280075 / 0.280139
=0.9998

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 - (1299.908 + 1798.988) / 5476.019) / (1 - (1260.297 + 1677.976) / 5314.738)
=0.434097 / 0.447146
=0.9708

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
=5572.514 / 5136.625
=1.0849

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))
=(191.357 / (191.357 + 1677.976)) / (230.127 / (230.127 + 1798.988))
=0.102366 / 0.113412
=0.9026

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)
=(707.237 / 5572.514) / (688.716 / 5136.625)
=0.126915 / 0.134079
=0.9466

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)
=((2267.109 + 1515.747) / 5476.019) / ((2242.787 + 1551.715) / 5314.738)
=0.690804 / 0.713958
=0.9676

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
=(232.31 - 0 - 708.979) / 5476.019
=-0.087047

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.

InRetail Peru has a M-score of -2.88 suggests that the company is unlikely to be a manipulator.


InRetail Peru Beneish M-Score Related Terms

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InRetail Peru (LIM:INRETC1) Business Description

Traded in Other Exchanges
Address
Calle Morelli 181, San Borja, Lima, PER
InRetail Peru Corp is a Peru-based company engaged in the development of retail businesses. The company's reportable segments include Food Retail; Pharmacies; Distribution; Shopping Malls, and Digital. It generates the majority of its revenue from the Food Retail segment. Geographically, it derives a majority of its revenue from Peru and also has a presence in Ecuador and Other countries. The company brands include Plaza Vea, Plaza Vea Super, Plaza Vea Express, Vivanda, Mass, and Makro brands.

InRetail Peru (LIM:INRETC1) Headlines

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