Wingstop (WING) Operating Margin (2014 - 2026)
Wingstop's (WING) quarterly Operating Margin came in at 29.44% in Q2 2026, up 349.0% on a YoY basis from 6.56% in Q2 2025, and up 7.3% quarter-over-quarter from 27.44% in Q1 2026.
Wingstop (WING) Operating Margin (2014 - 2026) Analysis & Trends
Wingstop (WING) has reported Operating Margin for 13 consecutive years, with 29.44% the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Operating Margin rose 349.0% year-over-year to 29.44%; the trailing twelve-month figure through Jun 2026 stood at 27.87% (up 321.0% YoY), and the FY2025 full-year result was 25.73%, down 74.0% from the prior year.
- Operating Margin rose to 29.44% in Q2 2026 per WING's latest filing, from 27.44% in the prior quarter.
- Across five years, Operating Margin topped out at 29.44% in Q2 2026 and bottomed at 21.79% in Q1 2022.
- Historically, Operating Margin has averaged 25.88% across 5 years, with a median of 26.08% in 2022.
- The sharpest annual moves came in 2022 and 2025: Operating Margin jumped 779 bps in 2022, then plunged 695 bps in 2025.
- Over 5 years, Operating Margin stood at 27.53% in 2022, then slipped by 15 bps to 23.47% in 2023, then advanced by 10 bps to 25.86% in 2024, then increased by 3 bps to 26.66% in 2025, then increased by 10 bps to 29.44% in 2026.
- According to Business Quant data, Operating Margin over the past three periods registered 29.44%, 27.44%, and 26.66% for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 47.02% |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 10.52% |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 15.70% |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 30.20% |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 28.41% |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 13.90% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 28.41% |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 11.09% |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 8.50% |
| 10 | Wingstop | 2.67 Bn | 2.51 Bn | 160.50 Mn | 29.44% |
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% |
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_KEY
import 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();