Sonder Holdings Beneish M-Score Historical Data
The historical data trend for Sonder Holdings'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.
Sonder Holdings Beneish M-Score Chart
|
Sonder Holdings Annual Data
|
|
Trend |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
| Beneish M-Score |
|
- |
- |
- |
-2.64 |
|
Sonder Holdings Quarterly Data
|
|
Dec19 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
| Beneish M-Score |
Get a 7-Day Free Trial
|
|
|
|
|
|
|
-2.68 |
-2.64 |
-0.85 |
-2.50 |
-2.60 |
Competitive Comparison of Sonder Holdings's Beneish M-Score
For the Lodging subindustry, Sonder Holdings'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.
Sonder Holdings's Beneish M-Score Distribution in the Travel & Leisure Industry
For the Travel & Leisure industry and Consumer Cyclical sector, Sonder Holdings's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Sonder Holdings's Beneish M-Score falls into.
Sonder Holdings 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 Sonder Holdings 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 * 1.1582 | + | 0.528 * 0.8652 | + | 0.404 * 0.8797 | + | 0.892 * 1.3894 | + | 0.115 * 0.8404 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.799 | + | 4.679 * -0.097997 | - | 0.327 * 1.1455 |
| = | -2.60 |
* 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 (Sep23) TTM: | Last Year (Sep22) TTM: |
Total Receivables was $9.1 Mil.
Revenue was 160.896 + 157.403 + 120.738 + 134.769 = $573.8 Mil.
Gross Profit was 50.185 + 64.159 + 28.705 + 44.72 = $187.8 Mil.
Total Current Assets was $233.3 Mil.
Total Assets was $1,716.3 Mil.
Property, Plant and Equipment(Net PPE) was $1,468.0 Mil.
Depreciation, Depletion and Amortization(DDA) was $194.9 Mil.
Selling, General, & Admin. Expense(SGA) was $192.7 Mil.
Total Current Liabilities was $329.3 Mil.
Long-Term Debt & Capital Lease Obligation was $1,579.1 Mil.
Net Income was -64.276 + -45.327 + -86.431 + -57.35 = $-253.4 Mil.
Non Operating Income was -0.547 + 3.022 + 1.97 + 9.328 = $13.8 Mil.
Cash Flow from Operations was -13.166 + -25.38 + -35.492 + -24.923 = $-99.0 Mil.
|
Total Receivables was $5.7 Mil.
Revenue was 124.526 + 121.322 + 80.466 + 86.663 = $413.0 Mil.
Gross Profit was 47.642 + 42.135 + 6.57 + 20.57 = $116.9 Mil.
Total Current Assets was $342.1 Mil.
Total Assets was $1,532.5 Mil.
Property, Plant and Equipment(Net PPE) was $1,175.2 Mil.
Depreciation, Depletion and Amortization(DDA) was $128.4 Mil.
Selling, General, & Admin. Expense(SGA) was $173.6 Mil.
Total Current Liabilities was $238.4 Mil.
Long-Term Debt & Capital Lease Obligation was $1,249.1 Mil.
|
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) |
| = | (9.105 / 573.806) | / | (5.658 / 412.977) |
| = | 0.015868 | / | 0.013701 |
| | = | 1.1582 |
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) |
| = | (116.917 / 412.977) | / | (187.769 / 573.806) |
| = | 0.283108 | / | 0.327234 |
| | = | 0.8652 |
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 - (233.258 + 1468.034) / 1716.337) | / | (1 - (342.078 + 1175.182) / 1532.532) |
| = | 0.008766 | / | 0.009965 |
| | = | 0.8797 |
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 |
| = | 573.806 | / | 412.977 |
| | = | 1.3894 |
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)) |
| = | (128.395 / (128.395 + 1175.182)) | / | (194.891 / (194.891 + 1468.034)) |
| = | 0.098494 | / | 0.117198 |
| | = | 0.8404 |
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) |
| = | (192.676 / 573.806) | / | (173.565 / 412.977) |
| = | 0.335786 | / | 0.420278 |
| | = | 0.799 |
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) |
| = | ((1579.091 + 329.266) / 1716.337) | / | ((1249.119 + 238.438) / 1532.532) |
| = | 1.111878 | / | 0.970653 |
| | = | 1.1455 |
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 |
| = | (-253.384 - 13.773 | - | -98.961) | / | 1716.337 |
| | = | -0.097997 |
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.
Sonder Holdings has a M-score of -2.60 suggests that the company is unlikely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
SOND has been successfully added to your