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Siemens Energy AG (Siemens Energy AG) Beneish M-Score : -2.33 (As of May. 27, 2024)


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What is Siemens Energy AG 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 -2.33 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

SMNEY' s Beneish M-Score Range Over the Past 10 Years
Min: -3.04   Med: -2.72   Max: -1.13
Current: -2.33

During the past 7 years, the highest Beneish M-Score of Siemens Energy AG was -1.13. The lowest was -3.04. And the median was -2.72.


Siemens Energy AG Beneish M-Score Historical Data

The historical data trend for Siemens Energy AG'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.

Siemens Energy AG Beneish M-Score Chart

Siemens Energy AG Annual Data
Trend Sep17 Sep18 Sep19 Sep20 Sep21 Sep22 Sep23
Beneish M-Score
Get a 7-Day Free Trial - - -2.83 -2.73 -1.13

Siemens Energy AG 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 -2.82 -2.71 -1.13 -2.16 -2.33

Competitive Comparison of Siemens Energy AG's Beneish M-Score

For the Specialty Industrial Machinery subindustry, Siemens Energy AG'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.


Siemens Energy AG's Beneish M-Score Distribution in the Industrial Products Industry

For the Industrial Products industry and Industrials sector, Siemens Energy AG's Beneish M-Score distribution charts can be found below:

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



Siemens Energy AG 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 Siemens Energy AG 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 * 0.9957+0.528 * 2.1103+0.404 * 0.8901+0.892 * 1.0516+0.115 * 1.0796
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0713+4.679 * -0.08616-0.327 * 1.0601
=-2.32

* 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 (Mar24) TTM:Last Year (Mar23) TTM:
Total Receivables was $11,825 Mil.
Revenue was 8997.826 + 8341.33 + 9093.917 + 8132.178 = $34,565 Mil.
Gross Profit was 1320.652 + 1164.667 + 509.072 + -1268.689 = $1,726 Mil.
Total Current Assets was $32,184 Mil.
Total Assets was $54,557 Mil.
Property, Plant and Equipment(Net PPE) was $6,338 Mil.
Depreciation, Depletion and Amortization(DDA) was $1,638 Mil.
Selling, General, & Admin. Expense(SGA) was $3,409 Mil.
Total Current Liabilities was $34,978 Mil.
Long-Term Debt & Capital Lease Obligation was $3,610 Mil.
Net Income was 73.913 + 1690.294 + -960.512 + -3201.517 = $-2,398 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was 667.391 + -143.948 + 1549.626 + 229.686 = $2,303 Mil.
Total Receivables was $11,293 Mil.
Revenue was 8595.289 + 7483.051 + 9095.05 + 7695.56 = $32,869 Mil.
Gross Profit was 1068.522 + 475.636 + 1449.505 + 469.345 = $3,463 Mil.
Total Current Assets was $28,716 Mil.
Total Assets was $51,734 Mil.
Property, Plant and Equipment(Net PPE) was $5,935 Mil.
Depreciation, Depletion and Amortization(DDA) was $1,690 Mil.
Selling, General, & Admin. Expense(SGA) was $3,026 Mil.
Total Current Liabilities was $31,017 Mil.
Long-Term Debt & Capital Lease Obligation was $3,499 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)
=(11825 / 34565.251) / (11293.362 / 32868.95)
=0.342107 / 0.343588
=0.9957

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)
=(3463.008 / 32868.95) / (1725.702 / 34565.251)
=0.105358 / 0.049926
=2.1103

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 - (32183.696 + 6338.043) / 54556.522) / (1 - (28716.274 + 5934.69) / 51734.475)
=0.293911 / 0.330215
=0.8901

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
=34565.251 / 32868.95
=1.0516

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))
=(1690.399 / (1690.399 + 5934.69)) / (1637.81 / (1637.81 + 6338.043))
=0.221689 / 0.205346
=1.0796

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)
=(3409.47 / 34565.251) / (3026.423 / 32868.95)
=0.098639 / 0.092075
=1.0713

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)
=((3609.783 + 34978.261) / 54556.522) / ((3498.929 + 31017.131) / 51734.475)
=0.707304 / 0.667177
=1.0601

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
=(-2397.822 - 0 - 2302.755) / 54556.522
=-0.08616

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.

Siemens Energy AG has a M-score of -2.32 suggests that the company is unlikely to be a manipulator.


Siemens Energy AG Beneish M-Score Related Terms

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Siemens Energy AG (Siemens Energy AG) Business Description

Address
Otto-Hahn-Ring 6, Munich, BY, DEU, 81739
Siemens Energy AG manufactures a wide range of equipment used to generate and transmit energy. The group is a product of the spinout from Siemens AG in 2020, consisting of the power and gas segment and Siemens Gamesa, although its operations go back over 150 years. Approximately one sixth of global electricity generation is based on its technology.

Siemens Energy AG (Siemens Energy AG) Headlines

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