Budapest Ingatlan Nyrt Beneish M-Score Historical Data
The historical data trend for Budapest Ingatlan Nyrt'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.
Budapest Ingatlan Nyrt Beneish M-Score Chart
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Budapest Ingatlan Nyrt Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-4.35 |
-0.80 |
-2.57 |
-1.72 |
-2.57 |
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Budapest Ingatlan Nyrt Semi-Annual Data
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Jun14 |
Dec14 |
Jun15 |
Dec15 |
Jun16 |
Dec16 |
Jun17 |
Dec17 |
Jun18 |
Dec18 |
Jun19 |
Dec19 |
Jun20 |
Dec20 |
Jun21 |
Dec21 |
Jun22 |
Dec22 |
Jun23 |
Dec23 |
| Beneish M-Score |
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-2.57 |
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-1.72 |
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-2.57 |
Competitive Comparison of Budapest Ingatlan Nyrt's Beneish M-Score
For the REIT - Diversified subindustry, Budapest Ingatlan Nyrt'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.
Budapest Ingatlan Nyrt's Beneish M-Score Distribution in the REITs Industry
For the REITs industry and Real Estate sector, Budapest Ingatlan Nyrt's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Budapest Ingatlan Nyrt's Beneish M-Score falls into.
Budapest Ingatlan Nyrt 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 Budapest Ingatlan Nyrt 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 * 0.5738 | + | 0.528 * 1.0421 | + | 0.404 * 1.033 | + | 0.892 * 0.7956 | + | 0.115 * 1.6766 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1 | + | 4.679 * 0.065997 | - | 0.327 * 0.8227 |
| = | -2.57 |
* 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 Ft454 Mil.
Revenue was Ft8,189 Mil.
Gross Profit was Ft6,129 Mil.
Total Current Assets was Ft6,891 Mil.
Total Assets was Ft86,441 Mil.
Property, Plant and Equipment(Net PPE) was Ft965 Mil.
Depreciation, Depletion and Amortization(DDA) was Ft59 Mil.
Selling, General, & Admin. Expense(SGA) was Ft0 Mil.
Total Current Liabilities was Ft3,884 Mil.
Long-Term Debt & Capital Lease Obligation was Ft18,886 Mil.
Net Income was Ft10,568 Mil.
Gross Profit was Ft0 Mil.
Cash Flow from Operations was Ft4,863 Mil.
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Total Receivables was Ft995 Mil.
Revenue was Ft10,293 Mil.
Gross Profit was Ft8,028 Mil.
Total Current Assets was Ft9,228 Mil.
Total Assets was Ft81,684 Mil.
Property, Plant and Equipment(Net PPE) was Ft571 Mil.
Depreciation, Depletion and Amortization(DDA) was Ft62 Mil.
Selling, General, & Admin. Expense(SGA) was Ft0 Mil.
Total Current Liabilities was Ft6,080 Mil.
Long-Term Debt & Capital Lease Obligation was Ft20,075 Mil.
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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) |
| = | (454.39 / 8188.976) | / | (995.457 / 10293.076) |
| = | 0.055488 | / | 0.096711 |
| | = | 0.5738 |
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) |
| = | (8028.098 / 10293.076) | / | (6129.232 / 8188.976) |
| = | 0.779951 | / | 0.748474 |
| | = | 1.0421 |
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 - (6891.423 + 964.698) / 86440.54) | / | (1 - (9227.922 + 571.166) / 81684.32) |
| = | 0.909115 | / | 0.880037 |
| | = | 1.033 |
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 |
| = | 8188.976 | / | 10293.076 |
| | = | 0.7956 |
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)) |
| = | (61.533 / (61.533 + 571.166)) | / | (59.407 / (59.407 + 964.698)) |
| = | 0.097255 | / | 0.058009 |
| | = | 1.6766 |
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) |
| = | (0 / 8188.976) | / | (0 / 10293.076) |
| = | 0 | / | 0 |
| | = | 1 |
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) |
| = | ((18886.201 + 3883.879) / 86440.54) | / | ((20075.461 + 6080.299) / 81684.32) |
| = | 0.263419 | / | 0.320205 |
| | = | 0.8227 |
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 |
| = | (10567.736 - 0 | - | 4862.895) | / | 86440.54 |
| | = | 0.065997 |
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.
Budapest Ingatlan Nyrt has a M-score of -2.57 suggests that the company is unlikely to be a manipulator.
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