Sprinklr Beneish M-Score Historical Data
The historical data trend for Sprinklr'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.
Sprinklr Beneish M-Score Chart
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Sprinklr Annual Data
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Trend |
Jan20 |
Jan21 |
Jan22 |
Jan23 |
Jan24 |
| Beneish M-Score |
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- |
- |
-2.48 |
-2.56 |
-2.32 |
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Sprinklr Quarterly Data
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Jan20 |
Apr20 |
Jul20 |
Oct20 |
Jan21 |
Apr21 |
Jul21 |
Oct21 |
Jan22 |
Apr22 |
Jul22 |
Oct22 |
Jan23 |
Apr23 |
Jul23 |
Oct23 |
Jan24 |
| Beneish M-Score |
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-2.56 |
-2.50 |
-2.44 |
-2.51 |
-2.32 |
Competitive Comparison of Sprinklr's Beneish M-Score
For the Software - Application subindustry, Sprinklr'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.
Sprinklr's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, Sprinklr's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Sprinklr's Beneish M-Score falls into.
Sprinklr 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 Sprinklr 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 * 1.0966 | + | 0.528 * 0.9737 | + | 0.404 * 1.0752 | + | 0.892 * 1.1847 | + | 0.115 * 1.2104 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.8415 | + | 4.679 * -0.038131 | - | 0.327 * 0.9582 |
| = | -2.32 |
* 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 (Jan24) TTM: | Last Year (Jan23) TTM: |
Total Receivables was $275.6 Mil.
Revenue was 194.207 + 186.325 + 178.465 + 173.363 = $732.4 Mil.
Gross Profit was 146.658 + 139.877 + 134.998 + 131.426 = $553.0 Mil.
Total Current Assets was $1,001.0 Mil.
Total Assets was $1,223.1 Mil.
Property, Plant and Equipment(Net PPE) was $63.2 Mil.
Depreciation, Depletion and Amortization(DDA) was $15.5 Mil.
Selling, General, & Admin. Expense(SGA) was $427.7 Mil.
Total Current Liabilities was $508.2 Mil.
Long-Term Debt & Capital Lease Obligation was $27.6 Mil.
Net Income was 21.143 + 16.967 + 10.485 + 2.808 = $51.4 Mil.
Non Operating Income was 8.253 + 6.328 + 7.237 + 4.759 = $26.6 Mil.
Cash Flow from Operations was 17.303 + 21.027 + 14.575 + 18.56 = $71.5 Mil.
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Total Receivables was $212.2 Mil.
Revenue was 165.331 + 157.251 + 150.63 + 144.978 = $618.2 Mil.
Gross Profit was 126.006 + 116.731 + 108.471 + 103.257 = $454.5 Mil.
Total Current Assets was $862.5 Mil.
Total Assets was $1,025.0 Mil.
Property, Plant and Equipment(Net PPE) was $38.6 Mil.
Depreciation, Depletion and Amortization(DDA) was $12.1 Mil.
Selling, General, & Admin. Expense(SGA) was $429.0 Mil.
Total Current Liabilities was $458.9 Mil.
Long-Term Debt & Capital Lease Obligation was $9.6 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) |
| = | (275.618 / 732.36) | / | (212.15 / 618.19) |
| = | 0.376342 | / | 0.343179 |
| | = | 1.0966 |
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) |
| = | (454.465 / 618.19) | / | (552.959 / 732.36) |
| = | 0.735154 | / | 0.755037 |
| | = | 0.9737 |
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 - (1000.976 + 63.234) / 1223.11) | / | (1 - (862.529 + 38.61) / 1024.991) |
| = | 0.129915 | / | 0.120832 |
| | = | 1.0752 |
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 |
| = | 732.36 | / | 618.19 |
| | = | 1.1847 |
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)) |
| = | (12.051 / (12.051 + 38.61)) | / | (15.466 / (15.466 + 63.234)) |
| = | 0.237875 | / | 0.196518 |
| | = | 1.2104 |
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) |
| = | (427.722 / 732.36) | / | (429.031 / 618.19) |
| = | 0.584032 | / | 0.694012 |
| | = | 0.8415 |
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) |
| = | ((27.562 + 508.16) / 1223.11) | / | ((9.633 + 458.899) / 1024.991) |
| = | 0.438 | / | 0.457108 |
| | = | 0.9582 |
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 |
| = | (51.403 - 26.577 | - | 71.465) | / | 1223.11 |
| | = | -0.038131 |
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.
Sprinklr has a M-score of -2.32 suggests that the company is unlikely to be a manipulator.
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