Wingstop (WING) EBIT (2014 - 2026)
Wingstop (WING) posted EBIT of $54.63 million for Q2 2026, up 20.8% from $45.23 million a year earlier and up 8.4% from the prior quarter.
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Analysis
Wingstop (WING) EBIT (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, EBIT at Wingstop was $200.84 million, up 21.6% year-over-year; for FY2025, it came in at $179.29 million, up 8.3% from FY2024.
- Annual EBIT has increased for 12 consecutive years, with a five-year compound annual growth rate of 25.6% (FY2020 to FY2025).
- In prior years, Wingstop's EBIT was $165.62 million in FY2024 (+47.1%), $112.59 million in FY2023 (+22.5%), $91.93 million in FY2022 (+24.6%) and $73.76 million in FY2021 (+28.5%).
- The Q2 2026 figure stands as the highest quarterly EBIT in data going back to Q2 2014.
- On a year-over-year basis, EBIT has increased in each of the last five quarters, with growth averaging 19.6% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was Q4 2022, with growth of 103.1%; the weakest was Q1 2022, with a decline of 16.1%.
- According to Business Quant data, EBIT for the three prior quarters was $50.41 million (Q1 2026), $46.84 million (Q4 2025) and $48.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 3.34 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 980.40 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 655.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 525.60 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 716.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 319.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 716.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 142.79 Mn |
| 10 | Wingstop | 3.58 Bn | 2.89 Bn | 160.50 Mn | 54.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 54.63 Mn |
| Mar 28, 2026 | 50.41 Mn |
| Dec 27, 2025 | 46.84 Mn |
| Sep 27, 2025 | 48.96 Mn |
| Jun 28, 2025 | 45.23 Mn |
| Mar 29, 2025 | 38.26 Mn |
| Dec 28, 2024 | 41.84 Mn |
| Sep 28, 2024 | 39.82 Mn |
| Jun 29, 2024 | 41.22 Mn |
| Mar 30, 2024 | 42.74 Mn |
| Dec 30, 2023 | 29.81 Mn |
| Sep 30, 2023 | 30.65 Mn |
| Jul 1, 2023 | 26.46 Mn |
| Apr 1, 2023 | 25.67 Mn |
| Dec 31, 2022 | 28.87 Mn |
| Sep 24, 2022 | 24.08 Mn |
| Jun 25, 2022 | 22.37 Mn |
| Mar 26, 2022 | 16.61 Mn |
| Dec 25, 2021 | 14.22 Mn |
| Sep 25, 2021 | 20.83 Mn |
API Access
Wingstop EBIT 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=ebit&ticker=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();