Wingstop (WING) Operating Margin (2014 - 2026)
Wingstop's Operating Margin came in at 29.44% for Q2 2026, up 3.49 percentage points from 25.95% a year earlier and up 2.00 percentage points from the prior quarter.
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Analysis
Wingstop (WING) Operating Margin (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Wingstop reported Operating Margin of 27.87%, up 3.21 percentage points year-over-year; for FY2025, it came in at 25.73%, down 0.74 percentage points from FY2024.
- Operating Margin carries a five-year change of +2.66 percentage points (FY2020 to FY2025).
- Going back by year, Operating Margin was 26.46% in FY2024 (+1.99 pp), 24.47% in FY2023 (-1.24 pp), 25.71% in FY2022 (-0.39 pp) and 26.11% in FY2021 (+3.04 pp).
- The Q2 2026 figure represents the highest quarterly Operating Margin since Q3 2021.
- Year-over-year, Operating Margin has increased for four consecutive quarters, with an average year-over-year change of +0.75 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in Q3 2021 (a gain of 9.32 percentage points), and the weakest in Q1 2025 (a drop of 6.95 percentage points).
- Business Quant data shows WING's Operating Margin at 27.44% (Q1 2026), 26.66% (Q4 2025) and 27.86% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 47.02% |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 10.52% |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 30.20% |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 15.70% |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 28.41% |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 9.98% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 28.41% |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 11.09% |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 8.50% |
| 10 | Wingstop | 3.58 Bn | 2.89 Bn | 160.50 Mn | 29.44% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 29.44% |
| Mar 28, 2026 | 27.44% |
| Dec 27, 2025 | 26.66% |
| Sep 27, 2025 | 27.86% |
| Jun 28, 2025 | 25.95% |
| Mar 29, 2025 | 22.36% |
| Dec 28, 2024 | 25.86% |
| Sep 28, 2024 | 24.50% |
| Jun 29, 2024 | 26.47% |
| Mar 30, 2024 | 29.31% |
| Dec 30, 2023 | 23.47% |
| Sep 30, 2023 | 26.18% |
| Jul 1, 2023 | 24.69% |
| Apr 1, 2023 | 23.61% |
| Dec 31, 2022 | 27.53% |
| Sep 24, 2022 | 25.99% |
| Jun 25, 2022 | 26.71% |
| Mar 26, 2022 | 21.79% |
| Dec 25, 2021 | 19.74% |
| Sep 25, 2021 | 31.67% |
API Access
Wingstop Operating Margin 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-margin&ticker=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();