Wingstop (WING) Selling, General & Administrative (2014 - 2026)
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Analysis
Wingstop (WING) Selling, General & Administrative (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 196.78 Bn | 191.60 Bn | 6.42 Bn | 817.00 Mn |
| 2 | Starbucks | 120.56 Bn | 108.18 Bn | - | 598.80 Mn |
| 3 | Yum Brands | 44.79 Bn | 41.67 Bn | 1.47 Bn | 324.00 Mn |
| 4 | Chipotle Mexican Grill | 44.29 Bn | 40.79 Bn | - | 185.23 Mn |
| 5 | Restaurant Brands International | 27.29 Bn | 23.08 Bn | 1.40 Bn | 183.00 Mn |
| 6 | Darden Restaurants | 25.71 Bn | 24.80 Bn | 1.68 Bn | 134.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 183.00 Mn |
| 8 | Yum China Holdings | 17.32 Bn | 10.98 Bn | 537.00 Mn | 139.00 Mn |
| 9 | Texas Roadhouse | 12.17 Bn | 11.51 Bn | - | 72.41 Mn |
| 10 | Wingstop | 4.47 Bn | 3.91 Bn | 157.92 Mn | 30.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 30.47 Mn |
| Jun 27, 2026 | 30.24 Mn |
| Mar 28, 2026 | 34.45 Mn |
| Dec 27, 2025 | 33.32 Mn |
| Sep 27, 2025 | 30.66 Mn |
| Jun 28, 2025 | 32.94 Mn |
| Mar 29, 2025 | 31.44 Mn |
| Dec 28, 2024 | 31.23 Mn |
| Sep 28, 2024 | 32.29 Mn |
| Jun 29, 2024 | 28.10 Mn |
| Mar 30, 2024 | 25.18 Mn |
| Dec 30, 2023 | 28.08 Mn |
| Sep 30, 2023 | 23.05 Mn |
| Jul 1, 2023 | 22.13 Mn |
| Apr 1, 2023 | 23.65 Mn |
| Dec 31, 2022 | 18.34 Mn |
| Sep 24, 2022 | 16.69 Mn |
| Jun 25, 2022 | 13.95 Mn |
| Mar 26, 2022 | 18.09 Mn |
| Dec 25, 2021 | 18.02 Mn |
API Access
Wingstop 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=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "WING", "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=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();