PAOS Industries (BOM:530291) Beneish M-Score: -3.47 (As of Jul. 11, 2026)

What is PAOS Industries Beneish M-Score?

PAOS Industries BOM:530291 26 Beneish M-Score is -3.47 as of Jul. 11, 2026. GuruFocus rates BOM:530291 with a GF Score™ of 26/100. The stock has 7 warning signs investors should review. Among 1,848 Consumer Packaged Goods companies, PAOS Industries ranks better than 93.34% on this metric.

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 -3.47 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

BOM:530291' s Beneish M-Score Range Over the Past 10 Years
Min: -3.47 Med: -3.47 Max: -3.47
Current: -3.47

During the past 13 years, the highest Beneish M-Score of PAOS Industries was -3.47. The lowest was -3.47. And the median was -3.47.

PAOS Industries Beneish M-Score Related Terms

PAOS Industries Beneish M-Score Historical Data

* Premium members only.

The historical data trend for PAOS Industries'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.

PAOS Industries Beneish M-Score Chart

PAOS Industries Annual Data

Trend

Mar17

Mar18

Mar19

Mar20

Mar21

Mar22

Mar23

Mar24

Mar25

Mar26

Beneish M-Score

Get a 7-Day Free Trial

0.00

-3.47

PAOS Industries Quarterly Data
	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23	Mar24	Jun24	Sep24	Dec24	Mar25	Jun25	Sep25	Dec25	Mar26
Beneish M-Score	Get a 7-Day Free Trial															0.00	0.00	0.00	0.00	-3.47

BOM:530291 vs PG, CL, KVUE: Beneish M-Score Comparison

For the Household & Personal Products subindustry, PAOS Industries'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.

PAOS Industries Beneish M-Score vs Consumer Packaged Goods Industry

For the Consumer Packaged Goods industry and Consumer Defensive sector, PAOS Industries's Beneish M-Score distribution charts can be found below:

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

Save Embed

26GF Score

PAOS Industries Ltd BOM:530291

Beneish M-Score is just one metric. See GF Score™, valuation, warning signs, and more.

View Full Analysis

PAOS Industries 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 PAOS Industries for today is based on a combination of the following eight different indices:

-4.84

0.92 * DSRI

0.528 * GMI

0.404 * AQI

0.892 * SGI

0.115 * DEPI

-4.84

0.92 * 0.5459

0.528 * 1.1913

0.404 * 0.8085

0.892 * 1.6114

0.115 * 0.6399

0.172 * SGAI

4.679 * TATA

0.327 * LVGI

0.172 * 0

4.679 * -0.266279

0.327 * 1.0826

-3.47

This Year (Mar26) TTM:

Last Year (Mar25) TTM:

Total Receivables was ₹2.1 Mil.
Revenue was ₹880.4 Mil.
Gross Profit was ₹187.8 Mil.
Total Current Assets was ₹361.4 Mil.
Total Assets was ₹465.2 Mil.
Property, Plant and Equipment(Net PPE) was ₹98.8 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹30.4 Mil.
Selling, General, & Admin. Expense(SGA) was ₹0.0 Mil.
Total Current Liabilities was ₹475.6 Mil.
Long-Term Debt & Capital Lease Obligation was ₹164.9 Mil.
Net Income was ₹-21.1 Mil.
Gross Profit was ₹0.0 Mil.
Cash Flow from Operations was ₹102.7 Mil.

Total Receivables was ₹2.4 Mil.
Revenue was ₹546.4 Mil.
Gross Profit was ₹138.9 Mil.
Total Current Assets was ₹370.7 Mil.
Total Assets was ₹496.5 Mil.
Property, Plant and Equipment(Net PPE) was ₹119.2 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹21.1 Mil.
Selling, General, & Admin. Expense(SGA) was ₹19.9 Mil.
Total Current Liabilities was ₹483.3 Mil.
Long-Term Debt & Capital Lease Obligation was ₹148.1 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)
	=	(2.139 / 880.389)	/	(2.432 / 546.362)
	=	0.00243	/	0.004451
	=	0.5459

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)
	=	(138.866 / 546.362)	/	(187.834 / 880.389)
	=	0.254165	/	0.213353
	=	1.1913

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 - (361.421 + 98.771) / 465.163)	/	(1 - (370.709 + 119.189) / 496.46)
	=	0.010687	/	0.013218
	=	0.8085

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
	=	880.389	/	546.362
	=	1.6114

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))
	=	(21.105 / (21.105 + 119.189))	/	(30.358 / (30.358 + 98.771))
	=	0.150434	/	0.235098
	=	0.6399

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)
	=	(0 / 880.389)	/	(19.902 / 546.362)
	=	0	/	0.036426
	=	0

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)
	=	((164.872 + 475.583) / 465.163)	/	((148.083 + 483.307) / 496.46)
	=	1.37684	/	1.271784
	=	1.0826

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
	=	(-21.115 - 0	-	102.748)	/	465.163
	=	-0.266279

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.

PAOS Industries has a M-score of -3.47 suggests that the company is unlikely to be a manipulator.

Frequently Asked Questions Learn more about Beneish M-Score →

What does a Beneish M-Score of -3.47 mean?

PAOS Industries (BOM:530291) has a Beneish M-Score of -3.47 as of Jul. 11, 2026. The Beneish M-score measures the likelihood of earnings manipulation. View historical data on PAOS Industries and its competitors. According to the industry distribution chart, PAOS Industries ranks #123 out of 1848 companies in the Consumer Packaged Goods industry, placing it in the top 6.7%.

Is PAOS Industries' Beneish M-Score too high?

PAOS Industries' current Beneish M-Score is -3.47. Based on the distribution chart, PAOS Industries ranks #123 out of 1848 companies in the Consumer Packaged Goods industry, which is in the top quartile — a strong position relative to peers. Overall, PAOS Industries has a GF Score™ of 26/100, reflecting its overall financial health beyond just this single metric.

How does PAOS Industries' Beneish M-Score compare to PG and CL?

According to the Consumer Packaged Goods industry distribution chart, PAOS Industries ranks #123 out of 1848 companies for Beneish M-Score. This places PAOS Industries in the top 7% of its industry — outperforming the majority of peers. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.

What is a good Beneish M-Score for a Consumer Packaged Goods company?

A good Beneish M-Score depends on the Consumer Packaged Goods industry context. However, Beneish M-Score should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Use the industry distribution chart on this page to see where any company falls relative to its peers.

What does a high Beneish M-Score mean?

A high Beneish M-Score can signal that a stock is expensive relative to its fundamentals. The Beneish M-score measures the likelihood of earnings manipulation. View historical data on PAOS Industries and its competitors. PAOS Industries's current Beneish M-Score is -3.47. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.

Is PAOS Industries stock overvalued right now?

PAOS Industries (BOM:530291) has a current Beneish M-Score of -3.47. The current Beneish M-Score is -3.47. PAOS Industries' overall GF Score™ is 26/100 with 7 warning signs to review. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.

How is Beneish M-Score calculated?

Beneish M-Score is calculated from a company's financial statements. For PAOS Industries (BOM:530291), the current Beneish M-Score is -3.47 as of Jul. 11, 2026. GuruFocus calculates this using data sourced from SEC filings and annual reports. See the calculation section and 30-year financial data on this page for the full breakdown.

PAOS Industries Business Description

Industry Consumer Defensive Consumer Packaged Goods

Comparable Companies BOM:519494 BOM:539519 BOM:530853 BOM:541865 BOM:542771 BOM:532335 BOM:541601 BOM:507970 BOM:542145 BOM:544399 PG XPAR:OR LSE:ULVR CL BOM:500696 LSE:RKT KVUE KMB XTER:HEN3 EL

Address G.T. Road, Village Pawa, Near Civil Airport, Ludhiana, PB, IND, 141120

Website https://www.paosindustries.in

PAOS Industries Ltd is mainly engaged in the manufacturing, trading, and marketing of laundry soaps, toilet soaps, and detergent powders that are formulated without the use of LABSA, a substance known to be potentially carcinogenic. The company operates in a single segment, the business of soaps, liquid detergents, and phynol.

26GF Score

Get the complete analysis for BOM:530291

Beneish M-Score is just one metric. See GF Value™, 30-year financials, guru trades, warning signs, and more.

₹50.35

Price

View BOM:530291 Analysis

See Beneish M-Score data for all stocks →