Wingstop (WING) Return on Capital Employed [ROCE] (2015 - 2026)
Wingstop (WING) reported Return on Capital Employed [ROCE] of 34.92% for Q3 2026, up 7.50 percentage points from 27.42% a year earlier and up 0.49 percentage points from the prior quarter.
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Analysis
Wingstop (WING) Return on Capital Employed [ROCE] (2015 - 2026) Analysis & Trends
For FY2025, Wingstop posted Return on Capital Employed [ROCE] of 28.79%, down 7.25 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of -12.69 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at 36.04% in FY2024 (+1.92 pp), 34.12% in FY2023 (+0.60 pp), 33.52% in FY2022 (-5.16 pp) and 38.68% in FY2021 (-2.80 pp).
- The Q3 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] since Q3 2024.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last three quarters, with an average year-over-year change of -4.19 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q2 2024 (a gain of 14.79 percentage points); the low point was Q2 2022 (a drop of 17.61 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 34.43% (Q2 2026), 33.33% (Q1 2026) and 28.67% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | 22.88% |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 15.26% |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 65.06% |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 23.30% |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 11.61% |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 15.87% |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 11.61% |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 16.42% |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 17.04% |
| 10 | Wingstop | 4.43 Bn | 3.87 Bn | 157.92 Mn | 34.92% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 34.92% |
| Jun 27, 2026 | 34.43% |
| Mar 28, 2026 | 33.33% |
| Dec 27, 2025 | 28.67% |
| Sep 27, 2025 | 27.42% |
| Jun 28, 2025 | 26.17% |
| Mar 29, 2025 | 26.18% |
| Dec 28, 2024 | 32.28% |
| Sep 28, 2024 | 43.96% |
| Jun 29, 2024 | 41.56% |
| Mar 30, 2024 | 41.00% |
| Dec 30, 2023 | 38.33% |
| Sep 30, 2023 | 33.42% |
| Jul 1, 2023 | 26.77% |
| Apr 1, 2023 | 28.18% |
| Dec 31, 2022 | 25.88% |
| Sep 24, 2022 | 22.56% |
| Jun 25, 2022 | 18.57% |
| Mar 26, 2022 | 34.11% |
| Dec 25, 2021 | 34.29% |
API Access
Wingstop Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();