Winmark (WINA) Selling, General & Administrative (2010 - 2026)
Winmark (WINA) recorded Selling, General & Administrative of $7.33 million in Q3 2026, up 4.1% from $7.05 million a year earlier but down 2.3% from the prior quarter.
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Analysis
Winmark (WINA) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Winmark's Selling, General & Administrative came in at $30 million as of Sep 26, 2026, up 10.9% year-over-year; for FY2025, it was $28.36 million, up 13.7% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $24.94 million in FY2024 (-0.7%), $25.11 million in FY2023 (+8.4%), $23.16 million in FY2022 (+3.9%) and $22.3 million in FY2021 (+5.2%).
- Quarterly Selling, General & Administrative has ranged from $5.46 million in Q2 2022 to $7.87 million in Q1 2026 over the past five years.
- On a year-over-year basis, Selling, General & Administrative has increased for seven consecutive quarters, with growth averaging 9.1% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 22.2% in Q4 2025, against a decline of 7.0% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.51 million (Q2 2026), $7.87 million (Q1 2026) and $7.29 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,669.42 Bn | 2,186.12 Bn | 104.83 Bn | 2.79 Bn |
| 2 | Home Depot | 317.32 Bn | 310.57 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 159.96 Bn | 137.50 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 111.01 Bn | 103.98 Bn | 8.58 Bn | 4.46 Bn |
| 5 | O Reilly Automotive | 74.61 Bn | 73.69 Bn | 2.52 Bn | 1.53 Bn |
| 6 | Ross Stores | 72.76 Bn | 55.69 Bn | 2.12 Bn | 1.02 Bn |
| 7 | Target | 69.22 Bn | 63.81 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 52.84 Bn | 51.74 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 41.25 Bn | 31.74 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Winmark | 1.00 Bn | 917.45 Mn | 19.32 Mn | 7.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 7.33 Mn |
| Jun 27, 2026 | 7.51 Mn |
| Mar 28, 2026 | 7.87 Mn |
| Dec 27, 2025 | 7.29 Mn |
| Sep 27, 2025 | 7.05 Mn |
| Jun 28, 2025 | 6.59 Mn |
| Mar 29, 2025 | 7.43 Mn |
| Dec 28, 2024 | 5.97 Mn |
| Sep 28, 2024 | 5.92 Mn |
| Jun 29, 2024 | 6.24 Mn |
| Mar 30, 2024 | 6.82 Mn |
| Dec 30, 2023 | 6.41 Mn |
| Sep 30, 2023 | 6.25 Mn |
| Jul 1, 2023 | 5.81 Mn |
| Apr 1, 2023 | 6.64 Mn |
| Dec 31, 2022 | 6.49 Mn |
| Sep 24, 2022 | 5.67 Mn |
| Jun 25, 2022 | 5.46 Mn |
| Mar 26, 2022 | 5.54 Mn |
| Dec 25, 2021 | 6.01 Mn |
API Access
Winmark Selling, General & Administrative 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=selling-general-and-administrative&ticker=WINA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=WINA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();