Wingstop (WING) Other Operating Expenses (2014 - 2026)
Wingstop (WING) posted Other Operating Expenses of $100.7 million for Q2 2026, up 4.7% from $96.16 million a year earlier and up 1.8% from the prior quarter.
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Analysis
Wingstop (WING) Other Operating Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Other Operating Expenses at Wingstop was $391.22 million, up 3.9% year-over-year; for FY2025, it came in at $368.41 million, up 12.6% from FY2024.
- Annual Other Operating Expenses has increased for 11 consecutive years, with a five-year compound annual growth rate of 24.1% (FY2020 to FY2025).
- In prior years, Wingstop's Other Operating Expenses was $327.19 million in FY2024 (+36.4%), $239.96 million in FY2023 (+26.4%), $189.83 million in FY2022 (+35.3%) and $140.25 million in FY2021 (+12.1%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses since Q1 2025.
- On a year-over-year basis, Other Operating Expenses increased in seven of the last eight quarters, with growth averaging 16.1%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q3 2022, with growth of 73.4%; the weakest was Q3 2021, with a decline of 9.7%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $98.87 million (Q1 2026), $95.54 million (Q4 2025) and $96.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Wingstop | 3.58 Bn | 2.89 Bn | 160.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 25, 2021 | 29.93 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();