AutoWeb (AutoWeb) Beneish M-Score : 0.00 (As of May. 13, 2024)

AutoWeb Beneish M-Score Chart

AutoWeb Annual Data
	Trend	Dec12	Dec13	Dec14	Dec15	Dec16	Dec17	Dec18	Dec19	Dec20	Dec21
Beneish M-Score		Get a 7-Day Free Trial					-6.51	-4.41	-3.58	-4.27	-3.45

AutoWeb Quarterly Data
	Sep17	Dec17	Mar18	Jun18	Sep18	Dec18	Mar19	Jun19	Sep19	Dec19	Mar20	Jun20	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22
Beneish M-Score	Get a 7-Day Free Trial															-3.57	-3.59	-3.45	-3.50	-4.33

Competitive Comparison of AutoWeb's Beneish M-Score

For the Internet Content & Information subindustry, AutoWeb'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.

AutoWeb's Beneish M-Score Distribution in the Interactive Media Industry

For the Interactive Media industry and Communication Services sector, AutoWeb's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where AutoWeb's Beneish M-Score falls into.

AutoWeb 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 AutoWeb for today is based on a combination of the following eight different indices:

* 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.

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.

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.

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.

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.

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.

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.

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

8. TATA = Total Accruals to Total Assets

Total accruals calculated as the change in working capital accounts other than cash less depreciation.

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.

AutoWeb has a M-score of -4.33 suggests that the company is unlikely to be a manipulator.

AutoWeb Beneish M-Score Related Terms

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AutoWeb (AutoWeb) Business Description