Coach (COH)
Add to Watchlists Create an AlertCoach Beneish M-Score
Coach Beneish M-Score Chart
View Beneish M-Score for COH.
Start Your YCharts Pro Gold Membership.
Coach Historical Beneish M-Score Data
Pro Data ExportThere is no data for the selected date range.
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.
Learn More
View Beneish M-Score for COH.
Start Your YCharts Pro Gold Membership.
Access over 100 stock metrics like Beta, EV/EBITDA, PE10, Free Cash Flow Yield, KZ Index and Cash Conversion Cycle.
YCharts Pro is only $49/month, and comes with a 14-day free trial.
Get Started NowAlready a YCharts Pro Gold Member? Sign in here.
COH Beneish M-Score Benchmarks
| Companies | |
|---|---|
| Michael Kors | Go Pro |
| Tiffany | Go Pro |
| Ralph Lauren | Go Pro |
COH Beneish M-Score Rankings
| Overall |
77th percentile 1829 of 8005 |
| Sector |
62nd percentile 272 of 725 in Consumer Cyclical |
| Industry |
70th percentile 3 of 10 in Luxury Goods |
