Winmark (WINA) Return on Equity [ROE] (2009 - 2019)
Winmark (WINA) posted Return on Equity [ROE] of 5576.53% for FY2020, up 4734.91 percentage points from 841.63% in FY2019.
Analysis
Winmark (WINA) Return on Equity [ROE] (2009 - 2019) Analysis & Trends
Since FY2011, Winmark has reported Return on Equity [ROE] for 6 years.
- The FY2020 figure stands as the highest annual Return on Equity [ROE] in data going back to FY2011.
- Business Quant data shows WINA's Return on Equity [ROE] at 841.63% in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 23.14% |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 93.32% |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 57.63% |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | - |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 43.59% |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 40.76% |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 25.85% |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | - |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | - |
| 10 | Winmark | 967.64 Mn | 883.72 Mn | 19.32 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2019 | 689.73% |
| Jul 1, 2017 | 2,355.79% |
| Mar 28, 2015 | 87.28% |
| Dec 27, 2014 | 107.07% |
| Sep 27, 2014 | 124.98% |
| Jun 28, 2014 | 121.16% |
| Mar 29, 2014 | 68.89% |
| Dec 28, 2013 | 51.05% |
| Sep 28, 2013 | 51.10% |
| Jun 29, 2013 | 58.93% |
| Mar 30, 2013 | 67.69% |
| Dec 29, 2012 | 73.90% |
| Sep 29, 2012 | 96.12% |
| Jun 30, 2012 | 100.93% |
| Mar 31, 2012 | 59.37% |
| Dec 31, 2011 | 43.06% |
| Sep 24, 2011 | 45.36% |
| Jun 25, 2011 | 47.80% |
| Mar 26, 2011 | 47.43% |
| Dec 25, 2010 | 62.44% |
API Access
Winmark Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=WINA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "ticker": "WINA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-equity-%5Broe%5D&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();