SP Plus Beneish M-Score Historical Data
The historical data trend for SP Plus'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.
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SP Plus Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.23 |
-1.06 |
-2.76 |
-2.39 |
-2.54 |
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SP Plus Quarterly Data
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Mar19 |
Jun19 |
Sep19 |
Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
| Beneish M-Score |
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-2.39 |
-2.38 |
-2.44 |
-2.45 |
-2.54 |
Competitive Comparison
For the Specialty Business Services subindustry, SP Plus'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.
SP Plus Beneish M-Score Distribution
For the Business Services industry and Industrials sector, SP Plus's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where SP Plus's Beneish M-Score falls into.
SP Plus 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 SP Plus 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 * 0.9382 | + | 0.528 * 1.0014 | + | 0.404 * 0.9658 | + | 0.892 * 1.1473 | + | 0.115 * 0.9092 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.1217 | + | 4.679 * -0.021443 | - | 0.327 * 0.9701 |
| = | -2.54 |
* 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 $181 Mil.
Revenue was 454.1 + 460.7 + 442.2 + 425.3 = $1,782 Mil.
Gross Profit was 62.2 + 67.6 + 65.9 + 58.3 = $254 Mil.
Total Current Assets was $212 Mil.
Total Assets was $1,152 Mil.
Property, Plant and Equipment(Net PPE) was $248 Mil.
Depreciation, Depletion and Amortization(DDA) was $36 Mil.
Selling, General, & Admin. Expense(SGA) was $140 Mil.
Total Current Liabilities was $337 Mil.
Long-Term Debt & Capital Lease Obligation was $494 Mil.
Net Income was 1.2 + 9.2 + 12.3 + 8.4 = $31 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was 2.3 + 32.5 + 13.3 + 7.7 = $56 Mil.
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Total Receivables was $168 Mil.
Revenue was 418.3 + 404.4 + 381 + 349.8 = $1,554 Mil.
Gross Profit was 53.3 + 58.2 + 58.8 + 51.4 = $222 Mil.
Total Current Assets was $197 Mil.
Total Assets was $1,121 Mil.
Property, Plant and Equipment(Net PPE) was $227 Mil.
Depreciation, Depletion and Amortization(DDA) was $30 Mil.
Selling, General, & Admin. Expense(SGA) was $109 Mil.
Total Current Liabilities was $344 Mil.
Long-Term Debt & Capital Lease Obligation was $490 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) |
| = | (180.5 / 1782.3) | / | (167.7 / 1553.5) |
| = | 0.101274 | / | 0.10795 |
| | = | 0.9382 |
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) |
| = | (221.7 / 1553.5) | / | (254 / 1782.3) |
| = | 0.14271 | / | 0.142512 |
| | = | 1.0014 |
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 - (212.2 + 247.7) / 1151.9) | / | (1 - (196.8 + 227.1) / 1121.4) |
| = | 0.600747 | / | 0.62199 |
| | = | 0.9658 |
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 |
| = | 1782.3 | / | 1553.5 |
| | = | 1.1473 |
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)) |
| = | (29.7 / (29.7 + 227.1)) | / | (36.1 / (36.1 + 247.7)) |
| = | 0.115654 | / | 0.127202 |
| | = | 0.9092 |
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) |
| = | (140.4 / 1782.3) | / | (109.1 / 1553.5) |
| = | 0.078775 | / | 0.070229 |
| | = | 1.1217 |
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) |
| = | ((493.6 + 337.4) / 1151.9) | / | ((490.3 + 343.6) / 1121.4) |
| = | 0.721417 | / | 0.743624 |
| | = | 0.9701 |
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 |
| = | (31.1 - 0 | - | 55.8) | / | 1151.9 |
| | = | -0.021443 |
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.
SP Plus has a M-score of -2.54 suggests that the company is unlikely to be a manipulator.
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