Equinix Beneish M-Score Historical Data
The historical data trend for Equinix'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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Equinix Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.70 |
-2.75 |
-2.75 |
-2.66 |
-2.67 |
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Equinix 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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-2.66 |
-2.69 |
-2.62 |
-2.53 |
-2.67 |
Competitive Comparison
For the REIT - Specialty subindustry, Equinix'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.
Equinix Beneish M-Score Distribution
For the REITs industry and Real Estate sector, Equinix's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Equinix's Beneish M-Score falls into.
Equinix 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 Equinix 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 * 1.0367 | + | 0.528 * 0.9996 | + | 0.404 * 0.9393 | + | 0.892 * 1.1274 | + | 0.115 * 1.0398 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9742 | + | 4.679 * -0.068262 | - | 0.327 * 0.9971 |
| = | -2.67 |
* 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 $1,303 Mil.
Revenue was 2110.489 + 2061.03 + 2018.408 + 1998.209 = $8,188 Mil.
Gross Profit was 1018.713 + 992.039 + 957.608 + 992.118 = $3,960 Mil.
Total Current Assets was $3,568 Mil.
Total Assets was $32,651 Mil.
Property, Plant and Equipment(Net PPE) was $20,050 Mil.
Depreciation, Depletion and Amortization(DDA) was $1,845 Mil.
Selling, General, & Admin. Expense(SGA) was $2,510 Mil.
Total Current Liabilities was $3,162 Mil.
Long-Term Debt & Capital Lease Obligation was $16,179 Mil.
Net Income was 227.568 + 275.794 + 207.03 + 258.786 = $969 Mil.
Non Operating Income was -7.001 + -1.624 + -15.295 + 5.305 = $-19 Mil.
Cash Flow from Operations was 998.714 + 785.175 + 741.298 + 691.408 = $3,217 Mil.
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Total Receivables was $1,115 Mil.
Revenue was 1870.845 + 1840.659 + 1817.154 + 1734.447 = $7,263 Mil.
Gross Profit was 900.145 + 905.99 + 886.897 + 818.572 = $3,512 Mil.
Total Current Assets was $3,305 Mil.
Total Assets was $30,311 Mil.
Property, Plant and Equipment(Net PPE) was $18,077 Mil.
Depreciation, Depletion and Amortization(DDA) was $1,736 Mil.
Selling, General, & Admin. Expense(SGA) was $2,285 Mil.
Total Current Liabilities was $1,838 Mil.
Long-Term Debt & Capital Lease Obligation was $16,169 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) |
| = | (1303.272 / 8188.136) | / | (1115.102 / 7263.105) |
| = | 0.159166 | / | 0.15353 |
| | = | 1.0367 |
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) |
| = | (3511.604 / 7263.105) | / | (3960.478 / 8188.136) |
| = | 0.483485 | / | 0.483685 |
| | = | 0.9996 |
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 - (3567.697 + 20049.723) / 32650.724) | / | (1 - (3305.255 + 18077.484) / 30310.742) |
| = | 0.276665 | / | 0.294549 |
| | = | 0.9393 |
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 |
| = | 8188.136 | / | 7263.105 |
| | = | 1.1274 |
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)) |
| = | (1736.208 / (1736.208 + 18077.484)) | / | (1845.138 / (1845.138 + 20049.723)) |
| = | 0.087627 | / | 0.084273 |
| | = | 1.0398 |
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) |
| = | (2509.838 / 8188.136) | / | (2285.261 / 7263.105) |
| = | 0.306521 | / | 0.31464 |
| | = | 0.9742 |
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) |
| = | ((16179.426 + 3162.25) / 32650.724) | / | ((16168.749 + 1838.298) / 30310.742) |
| = | 0.592381 | / | 0.594081 |
| | = | 0.9971 |
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 |
| = | (969.178 - -18.615 | - | 3216.595) | / | 32650.724 |
| | = | -0.068262 |
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.
Equinix has a M-score of -2.67 suggests that the company is unlikely to be a manipulator.
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