GURUFOCUS.COM » STOCK LIST » Industrials » Transportation » Werner Enterprises Inc (FRA:WE1) » Definitions » Beneish M-Score

Werner Enterprises (FRA:WE1) Beneish M-Score : -2.98 (As of May. 05, 2024)


View and export this data going back to . Start your Free Trial

What is Werner Enterprises 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 -2.98 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

FRA:WE1' s Beneish M-Score Range Over the Past 10 Years
Min: -3.24   Med: -2.82   Max: -2.03
Current: -2.98

During the past 13 years, the highest Beneish M-Score of Werner Enterprises was -2.03. The lowest was -3.24. And the median was -2.82.


Werner Enterprises Beneish M-Score Historical Data

The historical data trend for Werner Enterprises'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.

Werner Enterprises Beneish M-Score Chart

Werner Enterprises Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Beneish M-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only -3.14 -3.14 -2.03 -2.65 -2.98

Werner Enterprises Quarterly Data
Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
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 -2.72 -2.95 -2.86 -2.98 -

Competitive Comparison of Werner Enterprises's Beneish M-Score

For the Trucking subindustry, Werner Enterprises'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.


Werner Enterprises's Beneish M-Score Distribution in the Transportation Industry

For the Transportation industry and Industrials sector, Werner Enterprises's Beneish M-Score distribution charts can be found below:

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



Werner Enterprises 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 Werner Enterprises 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 * 0.8569+0.528 * 1.2275+0.404 * 1.0597+0.892 * 0.9719+0.115 * 1.0065
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9632+4.679 * -0.115349-0.327 * 0.9609
=-3.01

* 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 (Dec23) TTM:Last Year (Dec22) TTM:
Total Receivables was €431 Mil.
Revenue was 753.724 + 766.226 + 748.642 + 777.755 = €3,046 Mil.
Gross Profit was 94.815 + 93.698 + 101.562 + 102.948 = €393 Mil.
Total Current Assets was €582 Mil.
Total Assets was €2,896 Mil.
Property, Plant and Equipment(Net PPE) was €1,809 Mil.
Depreciation, Depletion and Amortization(DDA) was €278 Mil.
Selling, General, & Admin. Expense(SGA) was €146 Mil.
Total Current Liabilities was €303 Mil.
Long-Term Debt & Capital Lease Obligation was €593 Mil.
Net Income was 21.616 + 22.211 + 27.58 + 32.899 = €104 Mil.
Non Operating Income was -0.398 + -0.401 + -0.785 + -0.082 = €-2 Mil.
Cash Flow from Operations was 108.524 + 69.553 + 106.092 + 155.835 = €440 Mil.
Total Receivables was €518 Mil.
Revenue was 813.248 + 835.882 + 791.117 + 694.261 = €3,135 Mil.
Gross Profit was 134.632 + 126.576 + 121.985 + 113.225 = €496 Mil.
Total Current Assets was €720 Mil.
Total Assets was €2,924 Mil.
Property, Plant and Equipment(Net PPE) was €1,723 Mil.
Depreciation, Depletion and Amortization(DDA) was €267 Mil.
Selling, General, & Admin. Expense(SGA) was €156 Mil.
Total Current Liabilities was €292 Mil.
Long-Term Debt & Capital Lease Obligation was €649 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)
=(431.378 / 3046.347) / (517.963 / 3134.508)
=0.141605 / 0.165245
=0.8569

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)
=(496.418 / 3134.508) / (393.023 / 3046.347)
=0.158372 / 0.129015
=1.2275

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 - (581.954 + 1809.201) / 2895.827) / (1 - (719.909 + 1723.061) / 2923.809)
=0.174276 / 0.164456
=1.0597

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
=3046.347 / 3134.508
=0.9719

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))
=(266.611 / (266.611 + 1723.061)) / (277.854 / (277.854 + 1809.201))
=0.133997 / 0.133132
=1.0065

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)
=(145.632 / 3046.347) / (155.562 / 3134.508)
=0.047805 / 0.049629
=0.9632

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)
=((592.611 + 303.146) / 2895.827) / ((649 + 292.187) / 2923.809)
=0.309327 / 0.321904
=0.9609

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
=(104.306 - -1.666 - 440.004) / 2895.827
=-0.115349

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.

Werner Enterprises has a M-score of -3.01 suggests that the company is unlikely to be a manipulator.


Werner Enterprises Beneish M-Score Related Terms

Thank you for viewing the detailed overview of Werner Enterprises's Beneish M-Score provided by GuruFocus.com. Please click on the following links to see related term pages.


Werner Enterprises (FRA:WE1) Business Description

Traded in Other Exchanges
Address
14507 Frontier Road, Post Office Box 45308, Omaha, NE, USA, 68145-0308
Werner Enterprises Inc ranks among the top five full-truckload carriers by revenue, with a fleet of more than 7,800 tractors, including owner-operators. The company has two reportable segments - TTS and Werner Logistics. It derives about 80% of its top line from a wide array of full-truckload shipping services (including dedicated contract carriage; roughly 20% comes from non-asset based logistics operations, including truck brokerage.

Werner Enterprises (FRA:WE1) Headlines

No Headlines