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Lightning eMotors (Lightning eMotors) Beneish M-Score : -6.25 (As of Apr. 24, 2024)


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Lightning eMotors Beneish M-Score Definition

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 -6.25 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

ZEVY' s Beneish M-Score Range Over the Past 10 Years
Min: -6.25   Med: -1.63   Max: 4.18
Current: -6.25

During the past 4 years, the highest Beneish M-Score of Lightning eMotors was 4.18. The lowest was -6.25. And the median was -1.63.


Lightning eMotors Beneish M-Score Historical Data

The historical data trend for Lightning eMotors'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.

Lightning eMotors Beneish M-Score Chart

Lightning eMotors Annual Data
Trend Dec19 Dec20 Dec21 Dec22
Beneish M-Score
- - - 0.34

Lightning eMotors Quarterly Data
Dec19 Mar20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23
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 3.52 0.34 -1.63 -2.03 -6.25

Competitive Comparison of Lightning eMotors's Beneish M-Score

For the Farm & Heavy Construction Machinery subindustry, Lightning eMotors'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.


Lightning eMotors's Beneish M-Score Distribution in the Farm & Heavy Construction Machinery Industry

For the Farm & Heavy Construction Machinery industry and Industrials sector, Lightning eMotors's Beneish M-Score distribution charts can be found below:

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



Lightning eMotors 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 Lightning eMotors 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 * 0.8849+0.528 * 0.2093+0.404 * 2.2837+0.892 * 1.067+0.115 * 0.5336
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9604+4.679 * -0.709687-0.327 * 2.4058
=-6.25

* 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 (Sep23) TTM:Last Year (Sep22) TTM:
Total Receivables was $9.75 Mil.
Revenue was 12.366 + 7.916 + 1.311 + 4.334 = $25.93 Mil.
Gross Profit was -33.328 + -5.017 + -6.841 + -4.726 = $-49.91 Mil.
Total Current Assets was $39.66 Mil.
Total Assets was $55.70 Mil.
Property, Plant and Equipment(Net PPE) was $14.64 Mil.
Depreciation, Depletion and Amortization(DDA) was $2.54 Mil.
Selling, General, & Admin. Expense(SGA) was $53.96 Mil.
Total Current Liabilities was $70.26 Mil.
Long-Term Debt & Capital Lease Obligation was $9.25 Mil.
Net Income was -50.672 + -21.448 + -23.435 + -8.581 = $-104.14 Mil.
Non Operating Income was 1.22 + 1.467 + 3.47 + 16.656 = $22.81 Mil.
Cash Flow from Operations was -6.186 + -24.849 + -18.851 + -37.537 = $-87.42 Mil.
Total Receivables was $10.32 Mil.
Revenue was 11.131 + 3.536 + 5.412 + 4.221 = $24.30 Mil.
Gross Profit was -3.449 + -1.353 + -2.31 + -2.68 = $-9.79 Mil.
Total Current Assets was $153.31 Mil.
Total Assets was $173.31 Mil.
Property, Plant and Equipment(Net PPE) was $18.09 Mil.
Depreciation, Depletion and Amortization(DDA) was $1.55 Mil.
Selling, General, & Admin. Expense(SGA) was $52.66 Mil.
Total Current Liabilities was $23.99 Mil.
Long-Term Debt & Capital Lease Obligation was $78.84 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)
=(9.747 / 25.927) / (10.324 / 24.3)
=0.37594 / 0.424856
=0.8849

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)
=(-9.792 / 24.3) / (-49.912 / 25.927)
=-0.402963 / -1.925097
=0.2093

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 - (39.658 + 14.636) / 55.695) / (1 - (153.309 + 18.088) / 173.306)
=0.025155 / 0.011015
=2.2837

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
=25.927 / 24.3
=1.067

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))
=(1.548 / (1.548 + 18.088)) / (2.537 / (2.537 + 14.636))
=0.078835 / 0.147732
=0.5336

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)
=(53.963 / 25.927) / (52.661 / 24.3)
=2.081344 / 2.167119
=0.9604

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)
=((9.249 + 70.259) / 55.695) / ((78.843 + 23.992) / 173.306)
=1.427561 / 0.593372
=2.4058

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
=(-104.136 - 22.813 - -87.423) / 55.695
=-0.709687

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.

Lightning eMotors has a M-score of -6.25 suggests that the company is unlikely to be a manipulator.


Lightning eMotors Beneish M-Score Related Terms

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Lightning eMotors (Lightning eMotors) Business Description

Traded in Other Exchanges
N/A
Address
815 14th Street South West, Suite A100, Loveland, CO, USA, 80537
Lightning eMotors Inc is engaged in designing and manufacturing zero-emission commercial trucks and buses and charging infrastructure solutions for fleets, large enterprises, original equipment manufacturers, and governments. Its product offerings range from cargo vans, transit and shuttle buses, school buses, specialty work trucks, ambulances, and electric powertrains for school buses, transit buses, and motor coaches. Its product solutions help its customers reduce their greenhouse gas emissions, lower operating costs and improve energy efficiency.
Executives
Rosella Holdings Ltd 10 percent owner TRAFALGAR COURT, 3RD FLOOR, WEST WING, LES BANQUES, ST PETER PORT Y7 GY1 2JA
David Agatston officer: Chief Financial Officer C/O LIGHTNING EMOTORS, INC., 815 14TH STREET SW, SUITE A100, LOVELAND CO 80537
Wanda Jackson-davis director C/O LIGHTNING EMOTORS, INC., 815 14TH STREET SW, SUITE A100, LOVELAND CO 80537
Shashi Seth officer: Chief Revenue Officer 3080 SOUTH CT, PALO ALTO CA 94306
Jack Kenneth P. Jr. director 815 14TH STREET SW, SUITE A100, LOVELAND CO 80537
Robert Fenwick-smith director C/O LIGHTNING EMOTORS, INC., 815 14TH STREET SW, SUITE A100, LOVELAND CO 80537
Bruce Coventry director C/O LIGHTNING EMOTORS, INC., 815 14TH STREET SW, SUITE A100, LOVELAND CO 80537
Timothy Reeser director, officer: Chief Executive Officer C/O LIGHTNING EMOTORS, INC., 815 14TH STREET SW, SUITE A100, LOVELAND CO 80537
Teresa Covington officer: Chief Financial Officer C/O AEROVIRONMENT, INC., 181 W. HUNTINGTON DR., SUITE 202, MONROVIA CA 91016
Raluca Dinu director C/O GIGCAPITAL2, INC., 2479 E. BAYSHORE RD., SUITE 200, PALO ALTO CA 94303
Diana D Tremblay director 2111 NORTH MOLTER ROAD, LIBERTY LAKE WA 99019
Thaddeus Senko director C/O AUTOLIV, INC., KLARABERGSVIADUKTEN 70, SECTION B7, STOCKHOLM V7 SE-11164
Andrea Betti-berutto other: former director C/O GIGCAPITAL3, INC., 1731 EMBARCADERO RD., SUITE 200, PALO ALTO CA 94303
Peter S Wang other: former director GIGCAPITAL, INC., 3000 EL CAMINO REAL, BLDG 4, SUITE 232, PALO ALTO CA 94306
John J Mikulsky other: former director C/O KALEYRA, INC., 1731 EMBARCADERO ROAD, SUITE 200, PALO ALTO CA 94303