Winmark (WINA) EBITDA (2010 - 2026)
Winmark's EBITDA came in at $16.09 million for Q3 2026, up 5.8% from $15.2 million a year earlier and up 15.6% from the prior quarter.
Winmark (WINA) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 26, 2026, Winmark reported EBITDA of $55.92 million, up 0.8% year-over-year; for FY2025, it was $55.69 million, up 3.0% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- Going back by year, EBITDA was $54.08 million in FY2024 (-0.6%), $54.41 million in FY2023 (unchanged), $54.41 million in FY2022 (+5.1%) and $51.77 million in FY2021 (+27.2%).
- The Q3 2026 figure represents the highest quarterly EBITDA in data going back to Q3 2010.
- Year-over-year, EBITDA increased in six of the last eight quarters, with growth averaging 2.0%.
- The fastest year-over-year change in EBITDA over five years came in Q4 2021 (growth of 17.8%), and the weakest in Q1 2026 (a decline of 8.9%).
- Business Quant data shows WINA's EBITDA at $13.91 million (Q2 2026), $12.63 million (Q1 2026) and $13.29 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 49.03 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | 784.00 Mn |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | 1.54 Bn |
| 10 | Winmark | 966.88 Mn | 882.95 Mn | 19.32 Mn | 16.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 16.09 Mn |
| Jun 27, 2026 | 13.91 Mn |
| Mar 28, 2026 | 12.63 Mn |
| Dec 27, 2025 | 13.29 Mn |
| Sep 27, 2025 | 15.20 Mn |
| Jun 28, 2025 | 13.34 Mn |
| Mar 29, 2025 | 13.87 Mn |
| Dec 28, 2024 | 13.04 Mn |
| Sep 28, 2024 | 15.23 Mn |
| Jun 29, 2024 | 13.31 Mn |
| Mar 30, 2024 | 12.50 Mn |
| Dec 30, 2023 | 12.80 Mn |
| Sep 30, 2023 | 15.40 Mn |
| Jul 1, 2023 | 13.53 Mn |
| Apr 1, 2023 | 12.67 Mn |
| Dec 31, 2022 | 13.59 Mn |
| Sep 24, 2022 | 14.61 Mn |
| Jun 25, 2022 | 12.47 Mn |
| Mar 26, 2022 | 13.54 Mn |
| Dec 25, 2021 | 13.01 Mn |
Winmark EBITDA 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=ebitda&ticker=WINA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();