Roblox Beneish M-Score Historical Data
The historical data trend for Roblox'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.
Roblox Beneish M-Score Chart
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Roblox Annual Data
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Trend |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
Dec24 |
| Beneish M-Score |
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- |
-3.26 |
-3.30 |
-2.57 |
-3.32 |
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Roblox Quarterly Data
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Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
Dec24 |
Mar25 |
| Beneish M-Score |
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-3.49 |
-3.40 |
-3.36 |
-3.32 |
-3.34 |
Competitive Comparison of Roblox's Beneish M-Score
For the Electronic Gaming & Multimedia subindustry, Roblox'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.
Roblox's Beneish M-Score Distribution in the Interactive Media Industry
For the Interactive Media industry and Communication Services sector, Roblox's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Roblox's Beneish M-Score falls into.
Roblox 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 Roblox 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 * 0.9888 | + | 0.404 * 1.2466 | + | 0.892 * 1.5106 | + | 0.115 * 0.8791 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.8658 | + | 4.679 * -0.252416 | - | 0.327 * 0.9641 |
| = | -3.15 |
* 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 (Mar25) TTM: | Last Year (Mar24) TTM: |
Total Receivables was R$2,448 Mil.
Revenue was 5960.825 + 6028.904 + 5088.978 + 4812.712 = R$21,891 Mil.
Gross Profit was 4666.836 + 4694.366 + 3953.74 + 3743.264 = R$17,058 Mil.
Total Current Assets was R$22,408 Mil.
Total Assets was R$42,911 Mil.
Property, Plant and Equipment(Net PPE) was R$7,357 Mil.
Depreciation, Depletion and Amortization(DDA) was R$1,287 Mil.
Selling, General, & Admin. Expense(SGA) was R$3,510 Mil.
Total Current Liabilities was R$21,994 Mil.
Long-Term Debt & Capital Lease Obligation was R$9,637 Mil.
Net Income was -1238.314 + -1339.615 + -1325.328 + -1108.906 = R$-5,012 Mil.
Non Operating Income was 18.766 + -62.358 + 13.025 + -17.855 = R$-48 Mil.
Cash Flow from Operations was 2556.101 + 1125.58 + 1370.218 + 815.719 = R$5,868 Mil.
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Total Receivables was R$1,728 Mil.
Revenue was 3990.314 + 3674.551 + 3522.404 + 3304.234 = R$14,492 Mil.
Gross Profit was 3099.597 + 2833.432 + 2714.527 + 2517.794 = R$11,165 Mil.
Total Current Assets was R$16,712 Mil.
Total Assets was R$31,446 Mil.
Property, Plant and Equipment(Net PPE) was R$7,006 Mil.
Depreciation, Depletion and Amortization(DDA) was R$1,055 Mil.
Selling, General, & Admin. Expense(SGA) was R$2,683 Mil.
Total Current Liabilities was R$15,581 Mil.
Long-Term Debt & Capital Lease Obligation was R$8,461 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) |
| = | (2448.264 / 21891.419) | / | (1727.518 / 14491.503) |
| = | 0.111837 | / | 0.119209 |
| | = | 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) |
| = | (11165.35 / 14491.503) | / | (17058.206 / 21891.419) |
| = | 0.770476 | / | 0.779219 |
| | = | 0.9888 |
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 - (22408.458 + 7356.537) / 42910.795) | / | (1 - (16712.293 + 7005.548) / 31445.799) |
| = | 0.306352 | / | 0.245755 |
| | = | 1.2466 |
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 |
| = | 21891.419 | / | 14491.503 |
| | = | 1.5106 |
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)) |
| = | (1054.824 / (1054.824 + 7005.548)) | / | (1286.654 / (1286.654 + 7356.537)) |
| = | 0.130865 | / | 0.148863 |
| | = | 0.8791 |
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) |
| = | (3509.606 / 21891.419) | / | (2683.275 / 14491.503) |
| = | 0.160319 | / | 0.185162 |
| | = | 0.8658 |
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) |
| = | ((9637.211 + 21993.944) / 42910.795) | / | ((8461.442 + 15580.509) / 31445.799) |
| = | 0.737137 | / | 0.764552 |
| | = | 0.9641 |
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 |
| = | (-5012.163 - -48.422 | - | 5867.618) | / | 42910.795 |
| | = | -0.252416 |
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.
Roblox has a M-score of -3.15 suggests that the company is unlikely to be a manipulator.
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