Wingstop (WING) Operating Expenses (2014 - 2026)
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Analysis
Wingstop (WING) Operating Expenses (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 8.42 Bn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 1.51 Bn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 2.84 Bn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 1.83 Bn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 2.88 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 1.83 Bn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 1.54 Bn |
| 10 | Wingstop | 4.53 Bn | 3.98 Bn | 157.92 Mn | 134.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 134.44 Mn |
| Jun 27, 2026 | 130.93 Mn |
| Mar 28, 2026 | 133.32 Mn |
| Dec 27, 2025 | 128.86 Mn |
| Sep 27, 2025 | 126.78 Mn |
| Jun 28, 2025 | 129.10 Mn |
| Mar 29, 2025 | 132.83 Mn |
| Dec 28, 2024 | 119.98 Mn |
| Sep 28, 2024 | 122.68 Mn |
| Jun 29, 2024 | 114.48 Mn |
| Mar 30, 2024 | 103.05 Mn |
| Dec 30, 2023 | 97.24 Mn |
| Sep 30, 2023 | 86.45 Mn |
| Jul 1, 2023 | 80.72 Mn |
| Apr 1, 2023 | 83.05 Mn |
| Dec 31, 2022 | 76.00 Mn |
| Sep 24, 2022 | 68.59 Mn |
| Jun 25, 2022 | 61.40 Mn |
| Mar 26, 2022 | 59.60 Mn |
| Dec 25, 2021 | 57.81 Mn |
API Access
Wingstop Operating Expenses 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=operating-expenses&ticker=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();