Cboe Global Markets Beneish M-Score Historical Data
The historical data trend for Cboe Global Markets'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.
Cboe Global Markets Beneish M-Score Chart
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Cboe Global Markets Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.82 |
-3.46 |
-2.31 |
-3.22 |
-2.79 |
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Cboe Global Markets 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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-3.22 |
-2.86 |
-3.02 |
-0.30 |
-2.79 |
Competitive Comparison of Cboe Global Markets's Beneish M-Score
For the Financial Data & Stock Exchanges subindustry, Cboe Global Markets'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.
Cboe Global Markets's Beneish M-Score Distribution in the Capital Markets Industry
For the Capital Markets industry and Financial Services sector, Cboe Global Markets's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Cboe Global Markets's Beneish M-Score falls into.
Cboe Global Markets 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 Cboe Global Markets 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 * 1.0332 | + | 0.528 * 0.8735 | + | 0.404 * 0.9422 | + | 0.892 * 0.9533 | + | 0.115 * 1.0959 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.208 | + | 4.679 * -0.046331 | - | 0.327 * 0.9131 |
| = | -2.79 |
* 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 $412 Mil.
Revenue was 968.7 + 908.8 + 907.8 + 988.2 = $3,774 Mil.
Gross Profit was 386.2 + 384.4 + 467.1 + 361 = $1,599 Mil.
Total Current Assets was $1,979 Mil.
Total Assets was $7,488 Mil.
Property, Plant and Equipment(Net PPE) was $246 Mil.
Depreciation, Depletion and Amortization(DDA) was $158 Mil.
Selling, General, & Admin. Expense(SGA) was $230 Mil.
Total Current Liabilities was $1,383 Mil.
Long-Term Debt & Capital Lease Obligation was $1,590 Mil.
Net Income was 212 + 208.2 + 167.8 + 173.4 = $761 Mil.
Non Operating Income was 3.5 + 10 + 10.2 + 9 = $33 Mil.
Cash Flow from Operations was -189 + 736.9 + -503.1 + 1030.8 = $1,076 Mil.
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Total Receivables was $418 Mil.
Revenue was 1004.7 + 993.5 + 985.8 + 974.5 = $3,959 Mil.
Gross Profit was 363.5 + 340.4 + 424.1 + 336.9 = $1,465 Mil.
Total Current Assets was $1,556 Mil.
Total Assets was $6,999 Mil.
Property, Plant and Equipment(Net PPE) was $222 Mil.
Depreciation, Depletion and Amortization(DDA) was $167 Mil.
Selling, General, & Admin. Expense(SGA) was $200 Mil.
Total Current Liabilities was $1,477 Mil.
Long-Term Debt & Capital Lease Obligation was $1,567 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) |
| = | (411.8 / 3773.5) | / | (418.1 / 3958.5) |
| = | 0.109129 | / | 0.105621 |
| | = | 1.0332 |
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) |
| = | (1464.9 / 3958.5) | / | (1598.7 / 3773.5) |
| = | 0.370064 | / | 0.423665 |
| | = | 0.8735 |
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 - (1979.3 + 245.8) / 7487.5) | / | (1 - (1556 + 222.2) / 6998.9) |
| = | 0.702825 | / | 0.745932 |
| | = | 0.9422 |
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 |
| = | 3773.5 | / | 3958.5 |
| | = | 0.9533 |
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)) |
| = | (166.8 / (166.8 + 222.2)) | / | (158 / (158 + 245.8)) |
| = | 0.428792 | / | 0.391283 |
| | = | 1.0959 |
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) |
| = | (230.2 / 3773.5) | / | (199.9 / 3958.5) |
| = | 0.061004 | / | 0.050499 |
| | = | 1.208 |
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) |
| = | ((1590 + 1383.4) / 7487.5) | / | ((1566.6 + 1477.2) / 6998.9) |
| = | 0.397115 | / | 0.434897 |
| | = | 0.9131 |
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 |
| = | (761.4 - 32.7 | - | 1075.6) | / | 7487.5 |
| | = | -0.046331 |
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.
Cboe Global Markets has a M-score of -2.79 suggests that the company is unlikely to be a manipulator.
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