GURUFOCUS.COM » STOCK LIST » Industrials » Conglomerates » Mammoth Energy Services Inc (NAS:TUSK) » Definitions » Beneish M-Score

Mammoth Energy Services (Mammoth Energy Services) Beneish M-Score : -2.93 (As of May. 04, 2024)


View and export this data going back to 2016. Start your Free Trial

What is Mammoth Energy Services 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 -2.93 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

TUSK' s Beneish M-Score Range Over the Past 10 Years
Min: -2.93   Med: -2.56   Max: -0.54
Current: -2.93

During the past 10 years, the highest Beneish M-Score of Mammoth Energy Services was -0.54. The lowest was -2.93. And the median was -2.56.


Mammoth Energy Services Beneish M-Score Historical Data

The historical data trend for Mammoth Energy Services'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.

Mammoth Energy Services Beneish M-Score Chart

Mammoth Energy Services 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 -0.54 -2.78 -2.56 -2.84 -2.93

Mammoth Energy Services Quarterly Data
Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
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 -2.84 -2.64 -2.91 -3.02 -2.93

Competitive Comparison of Mammoth Energy Services's Beneish M-Score

For the Conglomerates subindustry, Mammoth Energy Services'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.


Mammoth Energy Services's Beneish M-Score Distribution in the Conglomerates Industry

For the Conglomerates industry and Industrials sector, Mammoth Energy Services's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where Mammoth Energy Services's Beneish M-Score falls into.



Mammoth Energy Services 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 Mammoth Energy Services 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 * 1.1456+0.528 * 1.1576+0.404 * 1.0223+0.892 * 0.8547+0.115 * 1.157
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.2309+4.679 * -0.115736-0.327 * 0.9408
=-2.93

* 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 $447.2 Mil.
Revenue was 52.782 + 64.959 + 75.431 + 116.32 = $309.5 Mil.
Gross Profit was 7.003 + 12.142 + 15.179 + 27.327 = $61.7 Mil.
Total Current Assets was $496.9 Mil.
Total Assets was $698.5 Mil.
Property, Plant and Equipment(Net PPE) was $123.5 Mil.
Depreciation, Depletion and Amortization(DDA) was $41.7 Mil.
Selling, General, & Admin. Expense(SGA) was $38.0 Mil.
Total Current Liabilities was $182.6 Mil.
Long-Term Debt & Capital Lease Obligation was $51.0 Mil.
Net Income was -5.956 + -1.088 + -4.47 + 8.351 = $-3.2 Mil.
Non Operating Income was 13.721 + 14.728 + 8.856 + 8.985 = $46.3 Mil.
Cash Flow from Operations was 6.435 + -7.658 + 29.369 + 3.24 = $31.4 Mil.
Total Receivables was $456.7 Mil.
Revenue was 102.908 + 107.202 + 89.678 + 62.298 = $362.1 Mil.
Gross Profit was 26.043 + 28.746 + 20.892 + 7.818 = $83.5 Mil.
Total Current Assets was $496.7 Mil.
Total Assets was $724.7 Mil.
Property, Plant and Equipment(Net PPE) was $148.7 Mil.
Depreciation, Depletion and Amortization(DDA) was $61.3 Mil.
Selling, General, & Admin. Expense(SGA) was $36.2 Mil.
Total Current Liabilities was $237.2 Mil.
Long-Term Debt & Capital Lease Obligation was $20.4 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)
=(447.202 / 309.492) / (456.688 / 362.086)
=1.444955 / 1.261269
=1.1456

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)
=(83.499 / 362.086) / (61.651 / 309.492)
=0.230605 / 0.199201
=1.1576

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 - (496.925 + 123.456) / 698.479) / (1 - (496.692 + 148.722) / 724.678)
=0.111812 / 0.109378
=1.0223

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
=309.492 / 362.086
=0.8547

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))
=(61.324 / (61.324 + 148.722)) / (41.667 / (41.667 + 123.456))
=0.291955 / 0.252339
=1.157

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)
=(38.049 / 309.492) / (36.164 / 362.086)
=0.12294 / 0.099877
=1.2309

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)
=((51.036 + 182.553) / 698.479) / ((20.398 + 237.212) / 724.678)
=0.334425 / 0.355482
=0.9408

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
=(-3.163 - 46.29 - 31.386) / 698.479
=-0.115736

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.

Mammoth Energy Services has a M-score of -2.93 suggests that the company is unlikely to be a manipulator.


Mammoth Energy Services Beneish M-Score Related Terms

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


Mammoth Energy Services (Mammoth Energy Services) Business Description

Traded in Other Exchanges
N/A
Address
14201 Caliber Drive, Suite 300, Oklahoma City, OK, USA, 73134
Mammoth Energy Services Inc is an integrated, growth-oriented energy services company engaged in providing products and services to enable the exploration and development of North American onshore unconventional oil and natural gas reserves as well as the construction and repair of the electric grid for private utilities, public investor-owned utilities, and co-operative utilities through infrastructure services businesses. Its suite of services includes well-completion services, infrastructure services, natural sand proppant services, drilling services, and other services. The majority of revenues are earned from the well-completion services and geographically from the United States followed by Canada and other countries.
Executives
Arty Straehla director, officer: Chief Executive Officer 1380 ROUTE 286 EAST, SUITE 121, INDIANA PA 15701
Arthur L Smith director 7308 SHADYVILLA LANE, HOUSTON TX 77055
Wexford Capital Lp director, 10 percent owner 777 WEST PUTNAM AVENUE, 1ST FLOOR, GREENWICH CT 06830
Mark E. Layton officer: Chief Financial Officer 4727 GAILLARDIA PARKWAY, SUITE 200, OKLAHOMA CITY OK 73142
Gpor Distribution Trust 10 percent owner 909 FANNIN ST, SUITE 4000, HOUSTON TX 77010
Booker Corey J. director MAMMOTH ENERGY SERVICES, INC., 14201 CALIBER DRIVE, SUITE 300, OKLAHOMA CITY OK 73134
Paul M. Jacobi director C/O WEXFORD CAPITAL LP, 777 WEST PUTNAM AVENUE, FIRST FLOOR, GREENWICH CT 06830
Matthew Ross director 4727 GAILLARDIA PARKWAY, SUITE 200, OKLAHOMA CITY OK 75201
Jonathan H Yellen director COMMONWEALTH HALL AT OLD PARKLAND, 3899 MAPLE AVENUE, SUITE 410, DALLAS TX 75219
Wexford Catalyst Trading Ltd director, 10 percent owner 411 WEST PUTNAM AVENUE, SUITE 125, GREENWICH CT 06830
Wexford Spectrum Trading Ltd director, 10 percent owner 411 WEST PUTNAM AVENUE, SUITE 125, GREENWICH CT 06830
Arthur H Amron director C/O WEXFORD CAPITAL LP, 777 WEST PUTNAM AVENUE, FIRST FLOOR, GREENWICH CT 06830
Gulfport Energy Corp director, 10 percent owner 14313 NORTH MAY AVENUE, SUITE 100, OKLAHOMA CITY OK 73134
Meh Sub Llc director, 10 percent owner C/O WEXFORD CAPITAL LP, 411 WEST PUTNAM AVE, SUITE 125, GREENWICH CT 06830
Rusty Neal Laforge officer: VP, Gen. Couns., Asst. Sec. 3324 QUAIL CREEK ROAD, OKLAHOMA CITY OK 73120