Wingstop (WING) EBITDA Margin (2014 - 2026)
Wingstop (WING) posted EBITDA Margin of 33.33% for Q2 2026, up 3.81 percentage points from 29.52% a year earlier and up 2.17 percentage points from the prior quarter.
Wingstop (WING) EBITDA Margin (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, EBITDA Margin at Wingstop was 31.57%, up 3.42 percentage points year-over-year; for FY2025, it came in at 29.33%, down 0.25 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +3.24 percentage points (FY2020 to FY2025).
- In prior years, Wingstop's EBITDA Margin was 29.58% in FY2024 (+2.23 pp), 27.35% in FY2023 (-1.41 pp), 28.76% in FY2022 (-0.16 pp) and 28.92% in FY2021 (+2.83 pp).
- The Q2 2026 figure stands as the highest quarterly EBITDA Margin since Q3 2021.
- On a year-over-year basis, EBITDA Margin has increased in each of the last four quarters, with an average year-over-year change of +1.17 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q3 2021, with a gain of 8.80 percentage points; the weakest was Q1 2022, with a drop of 5.84 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 31.16% (Q1 2026), 30.29% (Q4 2025) and 31.41% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 54.98% |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 14.70% |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 32.96% |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 18.63% |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 31.71% |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 14.48% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 31.71% |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 14.91% |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 11.97% |
| 10 | Wingstop | 3.58 Bn | 2.89 Bn | 160.50 Mn | 33.76% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 33.76% |
| Mar 28, 2026 | 31.60% |
| Dec 27, 2025 | 30.74% |
| Sep 27, 2025 | 31.85% |
| Jun 28, 2025 | 29.96% |
| Mar 29, 2025 | 26.45% |
| Dec 28, 2024 | 29.84% |
| Sep 28, 2024 | 27.94% |
| Jun 29, 2024 | 30.12% |
| Mar 30, 2024 | 32.01% |
| Dec 30, 2023 | 26.74% |
| Sep 30, 2023 | 29.50% |
| Jul 1, 2023 | 28.16% |
| Apr 1, 2023 | 26.84% |
| Dec 31, 2022 | 31.19% |
| Sep 24, 2022 | 29.59% |
| Jun 25, 2022 | 30.35% |
| Mar 26, 2022 | 25.20% |
| Dec 25, 2021 | 23.78% |
| Sep 25, 2021 | 35.32% |
Wingstop EBITDA 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=ebitda-margin&ticker=WING&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();