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EVgo (EVGO) Beneish M-Score : -2.45 (As of Apr. 30, 2024)


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What is EVgo 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 -2.45 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

EVGO' s Beneish M-Score Range Over the Past 10 Years
Min: -2.45   Med: -1.79   Max: -1.12
Current: -2.45

During the past 5 years, the highest Beneish M-Score of EVgo was -1.12. The lowest was -2.45. And the median was -1.79.


EVgo Beneish M-Score Historical Data

The historical data trend for EVgo'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.

EVgo Beneish M-Score Chart

EVgo Annual Data
Trend Dec19 Dec20 Dec21 Dec22 Dec23
Beneish M-Score
- - - -1.12 -2.45

EVgo Quarterly Data
Dec19 Mar20 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 -1.12 0.15 -8.57 -3.53 -2.45

Competitive Comparison of EVgo's Beneish M-Score

For the Specialty Retail subindustry, EVgo'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.


EVgo's Beneish M-Score Distribution in the Retail - Cyclical Industry

For the Retail - Cyclical industry and Consumer Cyclical sector, EVgo's Beneish M-Score distribution charts can be found below:

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



EVgo 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 EVgo 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 * 0.7851+0.528 * -1.7153+0.404 * 0.7894+0.892 * 2.9485+0.115 * 0.8886
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.3828+4.679 * -0.016862-0.327 * 1.0291
=-2.45

* 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 $44.2 Mil.
Revenue was 49.994 + 35.107 + 50.552 + 25.3 = $161.0 Mil.
Gross Profit was 3.54 + 0.604 + 5.529 + 0.041 = $9.7 Mil.
Total Current Assets was $267.4 Mil.
Total Assets was $806.6 Mil.
Property, Plant and Equipment(Net PPE) was $457.0 Mil.
Depreciation, Depletion and Amortization(DDA) was $52.0 Mil.
Selling, General, & Admin. Expense(SGA) was $143.0 Mil.
Total Current Liabilities was $89.3 Mil.
Long-Term Debt & Capital Lease Obligation was $62.0 Mil.
Net Income was -12.604 + -9.721 + -7.026 + -13.076 = $-42.4 Mil.
Non Operating Income was 1.568 + 5.217 + 9.886 + -8.442 = $8.2 Mil.
Cash Flow from Operations was -7.274 + -7.256 + -3.182 + -19.343 = $-37.1 Mil.
Total Receivables was $19.1 Mil.
Revenue was 27.303 + 10.509 + 9.076 + 7.7 = $54.6 Mil.
Gross Profit was -1.099 + -3.208 + -0.744 + -0.6 = $-5.7 Mil.
Total Current Assets was $275.5 Mil.
Total Assets was $729.7 Mil.
Property, Plant and Equipment(Net PPE) was $360.0 Mil.
Depreciation, Depletion and Amortization(DDA) was $35.9 Mil.
Selling, General, & Admin. Expense(SGA) was $126.7 Mil.
Total Current Liabilities was $87.3 Mil.
Long-Term Debt & Capital Lease Obligation was $45.7 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)
=(44.179 / 160.953) / (19.086 / 54.588)
=0.274484 / 0.349637
=0.7851

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)
=(-5.651 / 54.588) / (9.714 / 160.953)
=-0.103521 / 0.060353
=-1.7153

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 - (267.406 + 456.951) / 806.614) / (1 - (275.484 + 359.968) / 729.724)
=0.101978 / 0.129189
=0.7894

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
=160.953 / 54.588
=2.9485

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))
=(35.918 / (35.918 + 359.968)) / (51.961 / (51.961 + 456.951))
=0.090728 / 0.102102
=0.8886

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)
=(143.015 / 160.953) / (126.713 / 54.588)
=0.888551 / 2.321261
=0.3828

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)
=((61.987 + 89.347) / 806.614) / ((45.689 + 87.345) / 729.724)
=0.187616 / 0.182307
=1.0291

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
=(-42.427 - 8.229 - -37.055) / 806.614
=-0.016862

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.

EVgo has a M-score of -2.45 suggests that the company is unlikely to be a manipulator.


EVgo (EVGO) Business Description

Traded in Other Exchanges
Address
11835 West Olympic Boulevard, Suite 900E, Los Angeles, CA, USA, 90064
EVgo owns and operates a public direct current fast-charging network in the U.S. Its network of charging stations provides electric vehicle charging infrastructure to consumers and businesses. Its network is capable of charging all EV models and charging standards currently available in the U.S. EVgo partners with national and regional chains of grocery stores, automotive original equipment manufacturers, hotels, shopping centers, gas stations, parking lot operators, local governments and independent property owners in order to locate and deploy its EV charging infrastructure.
Executives
Dennis G Kish officer: Chief Operating Officer 955 EAST ARQUES AVE, SUNNYVALE CA 94086
Francine Sullivan officer: CLO and General Counsel 11835 WEST OLYMPIC BOULEVARD, SUITE 900E, LOS ANGELES CA 90064
Olga Shevorenkova officer: Chief Financial Officer 11835 WEST OLYMPIC BOULEVARD, SUITE 900E, LOS ANGELES CA 90064
Stephanie Lee officer: Interim CFO 11835 W. OLYMPIC BLVD. SUITE 900E, LOS ANGELES CA 90064
Ivo Steklac officer: Chief Operating & Tech Officer 11835 WEST OLYMPIC BOULEVARD, SUITE 900E, LOS ANGELES CA 90064
Cathy Zoi director, officer: Chief Executive Officer 11835 WEST OLYMPIC BOULEVARD, SUITE 900E, LOS ANGELES CA 90064
David Nanus director 1700 BROADWAY, 35TH FLOOR, NEW YORK NY 10019
Paul Segal director 1700 BROADWAY, 35TH FLOOR, NEW YORK NY 10019
Jonathan Seelig director C/O ZOOM TELEPHONICS, INC., 99 HIGH STREET, BOSTON MA 02110
Peter Eric Anderson director 11835 W. OLYMPIC BLVD. SUITE 900E, LOS ANGELES CA 90064
Tanvi Chaturvedi officer: Chief Revenue Officer 11835 W. OLYMPIC BLVD. SUITE 900E, LOS ANGELES CA 90064
Jonathan Maier Levy officer: Chief Commercial Officer 11835 WEST OLYMPIC BOULEVARD, SUITE 900E, LOS ANGELES CA 90064
Caroline Ogata officer: Controller 11835 WEST OLYMPIC BOULEVARD, SUITE 900E, LOS ANGELES CA 90064
Badar Khan director 69 DENNY ROAD, CHESTNUT HILL MA 02467
Katherine Motlagh director C/O CYRUSONE, 2850 N HARWOOD ST STE 2200, DALLAS TX 75201