Aena SME Beneish M-Score Historical Data
The historical data trend for Aena SME'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.
Aena SME Beneish M-Score Chart
|
Aena SME Annual Data
|
|
Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
|
Get a 7-Day Free Trial
|
|
|
-2.38 |
-0.39 |
-2.91 |
-2.59 |
-2.20 |
|
Aena SME Quarterly Data
|
|
Mar19 |
Jun19 |
Sep19 |
Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
| Beneish M-Score |
Get a 7-Day Free Trial
|
|
|
|
|
|
|
|
|
|
|
|
|
-2.59 |
- |
- |
- |
-2.20 |
Competitive Comparison of Aena SME's Beneish M-Score
For the Airports & Air Services subindustry, Aena SME'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.
Aena SME's Beneish M-Score Distribution in the Transportation Industry
For the Transportation industry and Industrials sector, Aena SME's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Aena SME's Beneish M-Score falls into.
Aena SME 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 Aena SME 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 * 1.2065 | + | 0.528 * 0.9268 | + | 0.404 * 1.3381 | + | 0.892 * 1.2047 | + | 0.115 * 0.9641 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.2082 | + | 4.679 * -0.033549 | - | 0.327 * 0.9759 |
| = | -2.20 |
* 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 €979 Mil.
Revenue was €5,048 Mil.
Gross Profit was €3,326 Mil.
Total Current Assets was €3,381 Mil.
Total Assets was €17,556 Mil.
Property, Plant and Equipment(Net PPE) was €12,043 Mil.
Depreciation, Depletion and Amortization(DDA) was €821 Mil.
Selling, General, & Admin. Expense(SGA) was €80 Mil.
Total Current Liabilities was €2,661 Mil.
Long-Term Debt & Capital Lease Obligation was €6,569 Mil.
Net Income was €1,631 Mil.
Gross Profit was €0 Mil.
Cash Flow from Operations was €2,220 Mil.
|
Total Receivables was €674 Mil.
Revenue was €4,190 Mil.
Gross Profit was €2,559 Mil.
Total Current Assets was €2,285 Mil.
Total Assets was €15,849 Mil.
Property, Plant and Equipment(Net PPE) was €12,125 Mil.
Depreciation, Depletion and Amortization(DDA) was €795 Mil.
Selling, General, & Admin. Expense(SGA) was €55 Mil.
Total Current Liabilities was €1,546 Mil.
Long-Term Debt & Capital Lease Obligation was €6,993 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) |
| = | (978.969 / 5047.917) | / | (673.516 / 4190.195) |
| = | 0.193935 | / | 0.160736 |
| | = | 1.2065 |
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) |
| = | (2558.53 / 4190.195) | / | (3325.863 / 5047.917) |
| = | 0.610599 | / | 0.658858 |
| | = | 0.9268 |
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 - (3380.929 + 12042.728) / 17556.226) | / | (1 - (2285.093 + 12125.335) / 15849.198) |
| = | 0.121471 | / | 0.090779 |
| | = | 1.3381 |
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 |
| = | 5047.917 | / | 4190.195 |
| | = | 1.2047 |
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)) |
| = | (795.175 / (795.175 + 12125.335)) | / | (821.192 / (821.192 + 12042.728)) |
| = | 0.061544 | / | 0.063837 |
| | = | 0.9641 |
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) |
| = | (79.872 / 5047.917) | / | (54.875 / 4190.195) |
| = | 0.015823 | / | 0.013096 |
| | = | 1.2082 |
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) |
| = | ((6569.046 + 2661.301) / 17556.226) | / | ((6992.933 + 1546.067) / 15849.198) |
| = | 0.525759 | / | 0.538765 |
| | = | 0.9759 |
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 |
| = | (1630.814 - 0 | - | 2219.815) | / | 17556.226 |
| | = | -0.033549 |
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.
Aena SME has a M-score of -2.20 suggests that the company is unlikely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
XMAD:AENA has been successfully added to your