Coach Beneish M-Score (Annual)
View 4,000+ financial data typesBrowse...
Coach Beneish M-Score (Annual) Chart
Coach Historical Beneish M-Score (Annual) Data
There is no data for the selected date range.
An error occurred. Please try again by refreshing your browser or contact us with details of your problem.
About Beneish M Score
The Beneish M Score helps to uncover companies who are likely to be manipulating their reported earnings. Companies with a higher score are more likely to be manipulators. This is a probabilistic model, so it will not detect manipulators with 100% accuracy.
The best cut-off point depends on the costs mistakenly classifying in one of two ways:
1) Classifying firm that is manipulating earnings as a non-manipulator (Type I error), and
2) Classifying a firm as a manipulator when it actually was not manipulating (Type II Error).
Here are optimal cut-offs according to Beneish, presented as the score followed by the cost of Type I error relative to cost of Type II error):
M Score HTML Table:
|Score||Relative Error Costs|
(Type I:Type II)
|M Score > -1.49||(10:1)||M Score > -1.78||(20:1)||M Score > -1.89||(40+:1)|
Beneish excluded financial institutions from his sample when calculating the M-Score, so extreme care should be taken when looking at M-Scores of financial firms - their business models are different from the manufacturing and other service firms that Beneish used in his study.
If you want more details, here is the original Beneish M Score Paper, or you can learn about our calculation by clicking "Learn More" below.
COH Beneish M-Score (Annual) Benchmarks
|Michael Kors Holdings||Upgrade|
COH Beneish M-Score (Annual) Range, Past 5 Years
COH Beneish M-Score (Annual) Excel Add-In Codes
- Metric Code: beneish_m_score
- Latest data point: =YCP("COH", "beneish_m_score")
- Last 5 data points: =YCS("COH", "beneish_m_score", -4)
To find the codes for any of our financial metrics, see our Complete Reference of Metric Codes.
Access our powerful Excel Add-in with a YCharts Professional Membership. Learn More.
Yahoo 07/30 14:15 ET
Yahoo 07/28 08:00 ET
Business Wire 07/28 07:00 ET
Yahoo 07/25 02:25 ET
Yahoo 07/24 11:30 ET
Yahoo 07/23 12:56 ET
Yahoo 07/23 08:53 ET
noodls 07/21 06:50 ET