Oxford Industries (OXM) Interest Coverage Ratio (2010 - 2016)
Oxford Industries' Interest Coverage Ratio came in at 39.68 for FY2019 (year ended Feb 2, 2019), up 43.5% from 27.66 in FY2018.
Analysis
Oxford Industries (OXM) Interest Coverage Ratio (2010 - 2016) Analysis & Trends
Going back to FY2010, Oxford Industries' Interest Coverage Ratio data covers 10 fiscal years.
- The FY2019 figure represents the highest annual Interest Coverage Ratio in data going back to FY2010.
- Per Business Quant, earlier fiscal years put Interest Coverage Ratio at 27.66 in FY2018 (+5.3%), 26.27 in FY2017 (-33.8%), 39.67 in FY2016 (+38.3%) and 28.68 in FY2015 (+17.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 26.34 |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 9.47 |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 2.54 |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 4.72 |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 14.35 |
| 10 | Oxford Industries | 374.46 Mn | 339.97 Mn | 291.13 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2016 | 52.13 |
| Jan 30, 2016 | 57.25 |
| Oct 31, 2015 | -2.60 |
| Aug 1, 2015 | 47.15 |
| May 2, 2015 | 45.90 |
| Jan 31, 2015 | 40.34 |
| Nov 1, 2014 | 6.01 |
| Aug 2, 2014 | 33.29 |
| May 3, 2014 | 33.75 |
| Feb 1, 2014 | 34.35 |
| Nov 2, 2013 | 3.81 |
| Aug 3, 2013 | 26.60 |
| May 4, 2013 | 27.84 |
| Feb 2, 2013 | 9.36 |
| Oct 27, 2012 | 6.17 |
| Jul 28, 2012 | 6.13 |
| Apr 28, 2012 | 9.10 |
| Jan 28, 2012 | 3.89 |
| Oct 29, 2011 | 1.84 |
| Jul 30, 2011 | 4.15 |
API Access
Oxford Industries Interest Coverage Ratio API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=interest-coverage-ratio&ticker=OXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-ratio", "ticker": "OXM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-coverage-ratio&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();