Wingstop (WING) Gross Margin (2014 - 2026)
Wingstop (WING) recorded Gross Margin of 86.49% in Q2 2026, up 0.49 percentage points from 86.00% a year earlier but down 0.06 percentage points from the prior quarter.
Wingstop (WING) Gross Margin (2014 - 2026) Analysis & Trends
On a TTM basis, Wingstop's Gross Margin came in at 86.32% as of Jun 27, 2026, up 0.49 percentage points year-over-year; for FY2025, it came in at 86.22%, up 0.86 percentage points from FY2024.
- Annual Gross Margin has increased for four straight years, with a five-year change of +5.74 percentage points (FY2020 to FY2025).
- Across earlier years, Gross Margin came in at 85.36% in FY2024 (+0.71 pp), 84.64% in FY2023 (+2.38 pp), 82.27% in FY2022 (+2.59 pp) and 79.68% in FY2021 (-0.80 pp).
- Quarterly Gross Margin has ranged from 76.88% in Q3 2021 to 86.65% in Q1 2025 over the past five years.
- On a year-over-year basis, Gross Margin rose in seven of the last eight quarters, with an average year-over-year change of +0.62 percentage points.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 6.15 percentage points in Q3 2022, against a drop of 4.67 percentage points in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 86.55% (Q1 2026), 86.07% (Q4 2025) and 86.15% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 90.42% |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 67.73% |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 54.64% |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 52.65% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 54.64% |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 17.11% |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | - |
| 10 | Wingstop | 3.58 Bn | 2.89 Bn | 160.50 Mn | 86.49% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 86.49% |
| Mar 28, 2026 | 86.55% |
| Dec 27, 2025 | 86.07% |
| Sep 27, 2025 | 86.15% |
| Jun 28, 2025 | 86.00% |
| Mar 29, 2025 | 86.65% |
| Dec 28, 2024 | 85.59% |
| Sep 28, 2024 | 85.00% |
| Jun 29, 2024 | 85.44% |
| Mar 30, 2024 | 85.41% |
| Dec 30, 2023 | 84.51% |
| Sep 30, 2023 | 84.95% |
| Jul 1, 2023 | 84.47% |
| Apr 1, 2023 | 84.64% |
| Dec 31, 2022 | 83.70% |
| Sep 24, 2022 | 83.03% |
| Jun 25, 2022 | 82.22% |
| Mar 26, 2022 | 79.43% |
| Dec 25, 2021 | 79.56% |
| Sep 25, 2021 | 76.88% |
Wingstop Gross 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=gross-margin&ticker=WING&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();