Walker & Dunlop Beneish M-Score Historical Data
The historical data trend for Walker & Dunlop'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.
Walker & Dunlop Beneish M-Score Chart
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Walker & Dunlop Annual Data
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Dec14 |
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Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.91 |
-0.19 |
-2.82 |
-4.43 |
-2.22 |
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Walker & Dunlop Quarterly Data
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Dec19 |
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Sep24 |
| Beneish M-Score |
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-2.22 |
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Competitive Comparison of Walker & Dunlop's Beneish M-Score
For the Mortgage Finance subindustry, Walker & Dunlop'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.
Walker & Dunlop's Beneish M-Score Distribution in the Banks Industry
For the Banks industry and Financial Services sector, Walker & Dunlop's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Walker & Dunlop's Beneish M-Score falls into.
Walker & Dunlop 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 Walker & Dunlop 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 * 1.298 | + | 0.528 * 1.0961 | + | 0.404 * 0.9186 | + | 0.892 * 0.8377 | + | 0.115 * 1.0873 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0526 | + | 4.679 * 0.026497 | - | 0.327 * 1.0395 |
| = | -2.22 |
* 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 $869 Mil.
Revenue was $1,054 Mil.
Gross Profit was $472 Mil.
Total Current Assets was $1,493 Mil.
Total Assets was $4,052 Mil.
Property, Plant and Equipment(Net PPE) was $119 Mil.
Depreciation, Depletion and Amortization(DDA) was $227 Mil.
Selling, General, & Admin. Expense(SGA) was $96 Mil.
Total Current Liabilities was $114 Mil.
Long-Term Debt & Capital Lease Obligation was $1,471 Mil.
Net Income was $107 Mil.
Gross Profit was $1 Mil.
Cash Flow from Operations was $-1 Mil.
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Total Receivables was $799 Mil.
Revenue was $1,259 Mil.
Gross Profit was $617 Mil.
Total Current Assets was $1,298 Mil.
Total Assets was $4,045 Mil.
Property, Plant and Equipment(Net PPE) was $95 Mil.
Depreciation, Depletion and Amortization(DDA) was $235 Mil.
Selling, General, & Admin. Expense(SGA) was $109 Mil.
Total Current Liabilities was $200 Mil.
Long-Term Debt & Capital Lease Obligation was $1,321 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) |
| = | (868.617 / 1054.44) | / | (798.842 / 1258.753) |
| = | 0.823771 | / | 0.63463 |
| | = | 1.298 |
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) |
| = | (617.154 / 1258.753) | / | (471.674 / 1054.44) |
| = | 0.49029 | / | 0.447322 |
| | = | 1.0961 |
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 - (1492.613 + 119.188) / 4052.347) | / | (1 - (1298.336 + 94.758) / 4045.359) |
| = | 0.602255 | / | 0.655632 |
| | = | 0.9186 |
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 |
| = | 1054.44 | / | 1258.753 |
| | = | 0.8377 |
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)) |
| = | (235.031 / (235.031 + 94.758)) | / | (226.752 / (226.752 + 119.188)) |
| = | 0.712671 | / | 0.655466 |
| | = | 1.0873 |
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) |
| = | (96.097 / 1054.44) | / | (108.987 / 1258.753) |
| = | 0.091136 | / | 0.086583 |
| | = | 1.0526 |
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) |
| = | ((1470.894 + 113.546) / 4052.347) | / | ((1321.257 + 200.346) / 4045.359) |
| = | 0.390993 | / | 0.376135 |
| | = | 1.0395 |
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 |
| = | (107.357 - 0.5 | - | -0.518) | / | 4052.347 |
| | = | 0.026497 |
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.
Walker & Dunlop has a M-score of -2.22 suggests that the company is unlikely to be a manipulator.
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