Emerald Holding Beneish M-Score Historical Data
The historical data trend for Emerald Holding'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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Emerald Holding Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.59 |
-1.83 |
-3.20 |
-1.57 |
-2.56 |
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Emerald Holding 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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-1.57 |
-2.00 |
-2.25 |
-1.38 |
-2.56 |
Competitive Comparison
For the Advertising Agencies subindustry, Emerald Holding'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.
Emerald Holding Beneish M-Score Distribution
For the Media - Diversified industry and Communication Services sector, Emerald Holding's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Emerald Holding's Beneish M-Score falls into.
Emerald Holding 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 Emerald Holding 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 * 0.9684 | + | 0.528 * 1.0031 | + | 0.404 * 1.0131 | + | 0.892 * 1.1746 | + | 0.115 * 1.0113 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9882 | + | 4.679 * -0.043647 | - | 0.327 * 1.028 |
| = | -2.56 |
* 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 $85.2 Mil.
Revenue was 101.5 + 72.5 + 86.5 + 122.3 = $382.8 Mil.
Gross Profit was 65.8 + 46.6 + 53.7 + 79.1 = $245.2 Mil.
Total Current Assets was $310.9 Mil.
Total Assets was $1,053.9 Mil.
Property, Plant and Equipment(Net PPE) was $10.3 Mil.
Depreciation, Depletion and Amortization(DDA) was $45.0 Mil.
Selling, General, & Admin. Expense(SGA) was $168.3 Mil.
Total Current Liabilities was $230.1 Mil.
Long-Term Debt & Capital Lease Obligation was $407.6 Mil.
Net Income was -17.9 + 10.7 + -8.1 + 7.1 = $-8.2 Mil.
Non Operating Income was -2.7 + 2.7 + -2.4 + -0.1 = $-2.5 Mil.
Cash Flow from Operations was 15.6 + 8.5 + 7.3 + 8.9 = $40.3 Mil.
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Total Receivables was $74.9 Mil.
Revenue was 93.6 + 62.4 + 71.4 + 98.5 = $325.9 Mil.
Gross Profit was 60.4 + 39.7 + 45 + 64.3 = $209.4 Mil.
Total Current Assets was $331.8 Mil.
Total Assets was $1,098.4 Mil.
Property, Plant and Equipment(Net PPE) was $12.8 Mil.
Depreciation, Depletion and Amortization(DDA) was $59.5 Mil.
Selling, General, & Admin. Expense(SGA) was $145.0 Mil.
Total Current Liabilities was $222.2 Mil.
Long-Term Debt & Capital Lease Obligation was $424.3 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) |
| = | (85.2 / 382.8) | / | (74.9 / 325.9) |
| = | 0.222571 | / | 0.229825 |
| | = | 0.9684 |
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) |
| = | (209.4 / 325.9) | / | (245.2 / 382.8) |
| = | 0.642528 | / | 0.640543 |
| | = | 1.0031 |
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 - (310.9 + 10.3) / 1053.9) | / | (1 - (331.8 + 12.8) / 1098.4) |
| = | 0.695227 | / | 0.686271 |
| | = | 1.0131 |
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 |
| = | 382.8 | / | 325.9 |
| | = | 1.1746 |
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)) |
| = | (59.5 / (59.5 + 12.8)) | / | (45 / (45 + 10.3)) |
| = | 0.82296 | / | 0.813743 |
| | = | 1.0113 |
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) |
| = | (168.3 / 382.8) | / | (145 / 325.9) |
| = | 0.439655 | / | 0.444922 |
| | = | 0.9882 |
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) |
| = | ((407.6 + 230.1) / 1053.9) | / | ((424.3 + 222.2) / 1098.4) |
| = | 0.605086 | / | 0.588583 |
| | = | 1.028 |
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 |
| = | (-8.2 - -2.5 | - | 40.3) | / | 1053.9 |
| | = | -0.043647 |
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.
Emerald Holding has a M-score of -2.56 suggests that the company is unlikely to be a manipulator.
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