Hochtief AG Beneish M-Score Historical Data
The historical data trend for Hochtief 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.
Hochtief AG Beneish M-Score Chart
|
Hochtief AG Annual Data
|
|
Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
|
Get a 7-Day Free Trial
|
|
|
-2.94 |
-2.81 |
-2.31 |
-2.50 |
-2.63 |
|
Hochtief AG Quarterly Data
|
|
Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
| Beneish M-Score |
Get a 7-Day Free Trial
|
|
|
|
|
|
|
|
|
|
|
|
|
- |
-2.63 |
- |
- |
- |
Competitive Comparison of Hochtief AG's Beneish M-Score
For the Engineering & Construction subindustry, Hochtief 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.
Hochtief AG's Beneish M-Score Distribution in the Construction Industry
For the Construction industry and Industrials sector, Hochtief AG's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Hochtief AG's Beneish M-Score falls into.
Hochtief 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 Hochtief 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 * 1.0598 | + | 0.528 * 0.9771 | + | 0.404 * 0.8899 | + | 0.892 * 1.0586 | + | 0.115 * 1.0952 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0662 | + | 4.679 * -0.04275 | - | 0.327 * 1.0067 |
| = | -2.63 |
* 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 €6,419 Mil.
Revenue was €27,756 Mil.
Gross Profit was €6,849 Mil.
Total Current Assets was €13,355 Mil.
Total Assets was €19,006 Mil.
Property, Plant and Equipment(Net PPE) was €830 Mil.
Depreciation, Depletion and Amortization(DDA) was €290 Mil.
Selling, General, & Admin. Expense(SGA) was €600 Mil.
Total Current Liabilities was €11,976 Mil.
Long-Term Debt & Capital Lease Obligation was €4,859 Mil.
Net Income was €523 Mil.
Gross Profit was €0 Mil.
Cash Flow from Operations was €1,335 Mil.
|
Total Receivables was €5,721 Mil.
Revenue was €26,219 Mil.
Gross Profit was €6,321 Mil.
Total Current Assets was €12,213 Mil.
Total Assets was €18,300 Mil.
Property, Plant and Equipment(Net PPE) was €870 Mil.
Depreciation, Depletion and Amortization(DDA) was €344 Mil.
Selling, General, & Admin. Expense(SGA) was €531 Mil.
Total Current Liabilities was €11,047 Mil.
Long-Term Debt & Capital Lease Obligation was €5,055 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) |
| = | (6418.589 / 27756.046) | / | (5720.844 / 26219.332) |
| = | 0.23125 | / | 0.218192 |
| | = | 1.0598 |
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) |
| = | (6321.2 / 26219.332) | / | (6848.565 / 27756.046) |
| = | 0.241089 | / | 0.246741 |
| | = | 0.9771 |
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 - (13354.583 + 829.791) / 19006.183) | / | (1 - (12213.319 + 869.519) / 18299.657) |
| = | 0.253697 | / | 0.285077 |
| | = | 0.8899 |
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 |
| = | 27756.046 | / | 26219.332 |
| | = | 1.0586 |
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)) |
| = | (344.016 / (344.016 + 869.519)) | / | (289.794 / (289.794 + 829.791)) |
| = | 0.283483 | / | 0.258841 |
| | = | 1.0952 |
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) |
| = | (599.629 / 27756.046) | / | (531.277 / 26219.332) |
| = | 0.021604 | / | 0.020263 |
| | = | 1.0662 |
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) |
| = | ((4859.433 + 11976.458) / 19006.183) | / | ((5054.741 + 11047.203) / 18299.657) |
| = | 0.885811 | / | 0.879904 |
| | = | 1.0067 |
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 |
| = | (522.749 - 0 | - | 1335.264) | / | 19006.183 |
| | = | -0.04275 |
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.
Hochtief AG has a M-score of -2.63 suggests that the company is unlikely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
MIL:1HOT has been successfully added to your