Wingstop (WING) Other Operating Expenses (2014 - 2026)
Wingstop's Other Operating Expenses came in at $94.96 million for Q3 2026, up 5.6% from $89.88 million a year earlier and up 1.6% from the prior quarter.
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Analysis
Wingstop (WING) Other Operating Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 26, 2026, Wingstop reported Other Operating Expenses of $369.62 million, up 3.3% year-over-year; for FY2025, it was $364.14 million, up 12.4% from FY2024.
- Other Operating Expenses has increased in each of the last 11 years, with a five-year compound annual growth rate of 24.3% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $323.9 million in FY2024 (+36.5%), $237.32 million in FY2023 (+26.5%), $187.63 million in FY2022 (+36.1%) and $137.91 million in FY2021 (+12.3%).
- The Q3 2026 figure represents the highest quarterly Other Operating Expenses since Q1 2025.
- Year-over-year, Other Operating Expenses increased in seven of the last eight quarters, with growth averaging 10.5%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q3 2022 (growth of 76.1%), and the weakest in Q1 2026 (a decline of 3.3%).
- Business Quant data shows WING's Other Operating Expenses at $93.49 million (Q2 2026), $92.03 million (Q1 2026) and $89.15 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - |
| 10 | Wingstop | 4.53 Bn | 3.98 Bn | 157.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 103.96 Mn |
| Jun 27, 2026 | 100.70 Mn |
| Mar 28, 2026 | 98.87 Mn |
| Dec 27, 2025 | 95.54 Mn |
| Sep 27, 2025 | 96.12 Mn |
| Jun 28, 2025 | 96.16 Mn |
| Mar 29, 2025 | 101.39 Mn |
| Dec 28, 2024 | 88.75 Mn |
| Sep 28, 2024 | 90.39 Mn |
| Jun 29, 2024 | 86.38 Mn |
| Mar 30, 2024 | 77.87 Mn |
| Dec 30, 2023 | 69.17 Mn |
| Sep 30, 2023 | 63.41 Mn |
| Jul 1, 2023 | 58.59 Mn |
| Apr 1, 2023 | 59.40 Mn |
| Dec 31, 2022 | 57.66 Mn |
| Sep 24, 2022 | 51.91 Mn |
| Jun 25, 2022 | 47.45 Mn |
| Mar 26, 2022 | 41.51 Mn |
| Dec 25, 2021 | 39.79 Mn |
API Access
Wingstop Other 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=other-operating-expenses&ticker=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();