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Kimberly-Clark (BUE:KMB) Beneish M-Score : -2.75 (As of Apr. 04, 2025)


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What is Kimberly-Clark 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 -2.75 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

BUE:KMB' s Beneish M-Score Range Over the Past 10 Years
Min: -2.96   Med: -2.73   Max: -2.56
Current: -2.75

During the past 13 years, the highest Beneish M-Score of Kimberly-Clark was -2.56. The lowest was -2.96. And the median was -2.73.


Kimberly-Clark Beneish M-Score Historical Data

The historical data trend for Kimberly-Clark'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.

Kimberly-Clark Beneish M-Score Chart

Kimberly-Clark Annual Data
Trend Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24
Beneish M-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only -2.71 -2.63 -2.63 -2.93 -2.75

Kimberly-Clark Quarterly Data
Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24
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 -2.93 -2.83 -2.91 -2.80 -2.75

Competitive Comparison of Kimberly-Clark's Beneish M-Score

For the Household & Personal Products subindustry, Kimberly-Clark'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.


Kimberly-Clark's Beneish M-Score Distribution in the Consumer Packaged Goods Industry

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

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


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Kimberly-Clark 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 Kimberly-Clark 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 * 0.8311+0.528 * 0.97+0.404 * 0.9709+0.892 * 3.1676+0.115 * 0.8066
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.1012+4.679 * -0.031389-0.327 * 1.014
=-0.92

* 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 (Dec24) TTM:Last Year (Dec23) TTM:
Total Receivables was ARS2,029,090 Mil.
Revenue was 4977280.05 + 4706875.793 + 4503469.436 + 4338032.574 = ARS18,525,658 Mil.
Gross Profit was 1691750.017 + 1695691.925 + 1620854.977 + 1610017.527 = ARS6,618,314 Mil.
Total Current Assets was ARS5,635,800 Mil.
Total Assets was ARS16,711,460 Mil.
Property, Plant and Equipment(Net PPE) was ARS7,588,130 Mil.
Depreciation, Depletion and Amortization(DDA) was ARS724,932 Mil.
Selling, General, & Admin. Expense(SGA) was ARS3,992,749 Mil.
Total Current Liabilities was ARS7,074,040 Mil.
Long-Term Debt & Capital Lease Obligation was ARS6,943,750 Mil.
Net Income was 451470.005 + 862103.462 + 487151.993 + 545097.509 = ARS2,345,823 Mil.
Non Operating Income was -16160 + -106455.995 + -13432.5 + -12637.5 = ARS-148,686 Mil.
Cash Flow from Operations was 825170.008 + 910578.96 + 914305.487 + 369015.006 = ARS3,019,069 Mil.
Total Receivables was ARS770,735 Mil.
Revenue was 1794170.002 + 1795943.449 + 1232159.99 + 1026272.274 = ARS5,848,546 Mil.
Gross Profit was 627057.001 + 643208.118 + 415439.997 + 340971.308 = ARS2,026,676 Mil.
Total Current Assets was ARS2,058,783 Mil.
Total Assets was ARS6,261,184 Mil.
Property, Plant and Equipment(Net PPE) was ARS2,856,593 Mil.
Depreciation, Depletion and Amortization(DDA) was ARS216,147 Mil.
Selling, General, & Admin. Expense(SGA) was ARS1,144,708 Mil.
Total Current Liabilities was ARS2,501,730 Mil.
Long-Term Debt & Capital Lease Obligation was ARS2,677,537 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)
=(2029090.02 / 18525657.853) / (770735.001 / 5848545.715)
=0.109529 / 0.131782
=0.8311

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)
=(2026676.424 / 5848545.715) / (6618314.446 / 18525657.853)
=0.346527 / 0.357251
=0.97

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 - (5635800.056 + 7588130.076) / 16711460.167) / (1 - (2058783.002 + 2856593.003) / 6261184.006)
=0.208691 / 0.214945
=0.9709

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
=18525657.853 / 5848545.715
=3.1676

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))
=(216146.953 / (216146.953 + 2856593.003)) / (724931.995 / (724931.995 + 7588130.076))
=0.070343 / 0.087204
=0.8066

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)
=(3992748.966 / 18525657.853) / (1144707.762 / 5848545.715)
=0.215525 / 0.195725
=1.1012

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)
=((6943750.069 + 7074040.071) / 16711460.167) / ((2677537.002 + 2501730.002) / 6261184.006)
=0.838813 / 0.827202
=1.014

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
=(2345822.969 - -148685.995 - 3019069.461) / 16711460.167
=-0.031389

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.

Kimberly-Clark has a M-score of -0.92 signals that the company is likely to be a manipulator.


Kimberly-Clark Beneish M-Score Related Terms

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Kimberly-Clark Business Description

Address
P.O. Box 619100, Dallas, TX, USA, 75261-9100
With more than half of sales from personal care and another third from consumer tissue products, Kimberly-Clark is a leading manufacturer in the tissue and hygiene realm. Its brand mix includes Huggies, PullUps, Kotex, Depend, Kleenex, and Cottonelle. The firm also operates in the professional segment, which partners with businesses to provide safety and sanitary offerings for the workplace. Kimberly-Clark generates just over half its sales in North America and more than 10% in Europe, with the rest primarily concentrated in Asia and Latin America.