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Earth Gen-Biofuel (Earth Gen-Biofuel) Beneish M-Score : 0.00 (As of May. 15, 2024)


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What is Earth Gen-Biofuel 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.

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

During the past 3 years, the highest Beneish M-Score of Earth Gen-Biofuel was 0.00. The lowest was 0.00. And the median was 0.00.


Earth Gen-Biofuel Beneish M-Score Historical Data

The historical data trend for Earth Gen-Biofuel'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.

Earth Gen-Biofuel Beneish M-Score Chart

Earth Gen-Biofuel Annual Data
Trend Dec13 Dec14 Dec15
Beneish M-Score
- - -

Earth Gen-Biofuel Quarterly Data
Sep13 Dec13 Mar14 Jun14 Sep14 Dec14 Mar15 Jun15 Sep15 Dec15 Mar16 Jun16
Beneish M-Score Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only - - - - -

Competitive Comparison of Earth Gen-Biofuel's Beneish M-Score

For the Residential Construction subindustry, Earth Gen-Biofuel'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.


Earth Gen-Biofuel's Beneish M-Score Distribution in the Homebuilding & Construction Industry

For the Homebuilding & Construction industry and Consumer Cyclical sector, Earth Gen-Biofuel's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where Earth Gen-Biofuel's Beneish M-Score falls into.



Earth Gen-Biofuel 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 Earth Gen-Biofuel 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 * +0.528 * +0.404 * +0.892 * +0.115 *
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * +4.679 * -0.327 *
=

* 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 (Jun16) TTM:Last Year (Jun15) TTM:
Total Receivables was $0.00 Mil.
Revenue was 0 + 0 + 0 + 0 = $0.00 Mil.
Gross Profit was 0 + 0 + 0 + 0 = $0.00 Mil.
Total Current Assets was $0.37 Mil.
Total Assets was $1.00 Mil.
Property, Plant and Equipment(Net PPE) was $0.01 Mil.
Depreciation, Depletion and Amortization(DDA) was $0.01 Mil.
Selling, General, & Admin. Expense(SGA) was $0.57 Mil.
Total Current Liabilities was $0.12 Mil.
Long-Term Debt & Capital Lease Obligation was $0.00 Mil.
Net Income was -0.254 + -0.142 + -0.171 + -0.185 = $-0.75 Mil.
Non Operating Income was -0.065 + -0.028 + -0.037 + -0.028 = $-0.16 Mil.
Cash Flow from Operations was -0.073 + -0.037 + -0.043 + -0.009 = $-0.16 Mil.
Total Receivables was $0.06 Mil.
Revenue was 0 + 0 + 0 + 0 = $0.00 Mil.
Gross Profit was 0 + 0 + 0 + 0 = $0.00 Mil.
Total Current Assets was $0.51 Mil.
Total Assets was $0.53 Mil.
Property, Plant and Equipment(Net PPE) was $0.02 Mil.
Depreciation, Depletion and Amortization(DDA) was $0.00 Mil.
Selling, General, & Admin. Expense(SGA) was $0.80 Mil.
Total Current Liabilities was $0.17 Mil.
Long-Term Debt & Capital Lease Obligation was $0.00 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)
=(0.001 / 0) / (0.061 / 0)
= /
=

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)
=(0 / 0) / (0 / 0)
= /
=

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 - (0.365 + 0.014) / 1) / (1 - (0.51 + 0.018) / 0.531)
=0.621 / 0.00565
=

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
=0 / 0
=

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))
=(0.002 / (0.002 + 0.018)) / (0.008 / (0.008 + 0.014))
=0.1 / 0.363636
=

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)
=(0.57 / 0) / (0.795 / 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)
=((0 + 0.117) / 1) / ((0 + 0.174) / 0.531)
=0.117 / 0.327684
=

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
=(-0.752 - -0.158 - -0.162) / 1
=-0.432

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.


Earth Gen-Biofuel Beneish M-Score Related Terms

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Earth Gen-Biofuel (Earth Gen-Biofuel) Business Description

Traded in Other Exchanges
N/A
Address
1375 Front Street NE, Salem, OR, USA, 97301
Earth Gen-Biofuel Inc is engaged in the manufacturing of Park Model RV's. Park Model RVs are manufactured homes that are built to qualify as an RV for building regulations but are constructed as permanently placed homes. The company develops plans for homes that could serve the need for residents for the unsheltered housing crisis in many cities through utilizing technology to construct affordable living units.