Wingstop (WING) Return on Assets [ROA] (2015 - 2026)
Wingstop's Return on Assets [ROA] was 17.80% in Q2 2026, down 6.60 percentage points from 24.41% a year earlier but up 1.14 percentage points from the prior quarter.
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Analysis
Wingstop (WING) Return on Assets [ROA] (2015 - 2026) Analysis & Trends
For FY2025, Return on Assets [ROA] at Wingstop came in at 24.72%, up 4.85 percentage points from FY2024.
- Return on Assets [ROA] has now increased for three consecutive years, with a five-year change of +12.38 percentage points (FY2020 to FY2025).
- In earlier years, Return on Assets [ROA] was 19.87% in FY2024 (+2.37 pp), 17.50% in FY2023 (+1.77 pp), 15.73% in FY2022 (-2.79 pp) and 18.52% in FY2021 (+6.17 pp).
- Quarterly Return on Assets [ROA] has moved between 8.89% (Q2 2022) and 24.64% (Q4 2025) over five years.
- Compared with a year earlier, Return on Assets [ROA] was higher in five of the last eight quarters, with an average year-over-year change of +0.51 percentage points.
- The best year-over-year quarter for Return on Assets [ROA] over five years was Q2 2024 (a gain of 7.97 percentage points); the worst was Q1 2026 (a drop of 7.71 percentage points).
- Per Business Quant data, WING's Return on Assets [ROA] in the three quarters before Q2 2026 was 16.67% (Q1 2026), 24.64% (Q4 2025) and 24.38% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 14.65% |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 6.74% |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 26.25% |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 16.07% |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 6.82% |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 9.06% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 6.82% |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 9.70% |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 11.65% |
| 10 | Wingstop | 3.58 Bn | 2.89 Bn | 160.50 Mn | 17.80% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 17.80% |
| Mar 28, 2026 | 16.67% |
| Dec 27, 2025 | 24.64% |
| Sep 27, 2025 | 24.38% |
| Jun 28, 2025 | 24.41% |
| Mar 29, 2025 | 24.37% |
| Dec 28, 2024 | 18.09% |
| Sep 28, 2024 | 21.51% |
| Jun 29, 2024 | 21.88% |
| Mar 30, 2024 | 21.07% |
| Dec 30, 2023 | 19.24% |
| Sep 30, 2023 | 17.17% |
| Jul 1, 2023 | 13.91% |
| Apr 1, 2023 | 13.68% |
| Dec 31, 2022 | 12.65% |
| Sep 24, 2022 | 10.46% |
| Jun 25, 2022 | 8.89% |
| Mar 26, 2022 | 10.08% |
| Dec 25, 2021 | 16.73% |
| Sep 25, 2021 | 11.84% |
API Access
Wingstop Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();