Wingstop (WING) EBITDA (2014 - 2026)
Wingstop's EBITDA came in at $61.84 million for Q2 2026, up 20.2% from $51.45 million a year earlier and up 8.0% from the prior quarter.
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Analysis
Wingstop (WING) EBITDA (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Wingstop reported EBITDA of $227.51 million, up 20.7% year-over-year; for FY2025, it came in at $204.36 million, up 10.4% from FY2024.
- EBITDA has increased in each of the last 12 years, with a five-year compound annual growth rate of 25.8% (FY2020 to FY2025).
- Going back by year, EBITDA was $185.11 million in FY2024 (+47.1%), $125.83 million in FY2023 (+22.4%), $102.83 million in FY2022 (+25.9%) and $81.7 million in FY2021 (+25.9%).
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q2 2014.
- Year-over-year, EBITDA has increased for five consecutive quarters, with growth averaging 20.6% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q4 2022 (growth of 91.6%), and the weakest in Q1 2022 (a decline of 12.8%).
- Business Quant data shows WING's EBITDA at $57.25 million (Q1 2026), $53.22 million (Q4 2025) and $55.19 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 623.92 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 799.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 799.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 201.13 Mn |
| 10 | Wingstop | 3.58 Bn | 2.89 Bn | 160.50 Mn | 62.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 62.66 Mn |
| Mar 28, 2026 | 58.05 Mn |
| Dec 27, 2025 | 54.02 Mn |
| Sep 27, 2025 | 55.98 Mn |
| Jun 28, 2025 | 52.23 Mn |
| Mar 29, 2025 | 45.26 Mn |
| Dec 28, 2024 | 48.29 Mn |
| Sep 28, 2024 | 45.40 Mn |
| Jun 29, 2024 | 46.90 Mn |
| Mar 30, 2024 | 46.66 Mn |
| Dec 30, 2023 | 33.98 Mn |
| Sep 30, 2023 | 34.55 Mn |
| Jul 1, 2023 | 30.18 Mn |
| Apr 1, 2023 | 29.18 Mn |
| Dec 31, 2022 | 32.71 Mn |
| Sep 24, 2022 | 27.43 Mn |
| Jun 25, 2022 | 25.43 Mn |
| Mar 26, 2022 | 19.21 Mn |
| Dec 25, 2021 | 17.13 Mn |
| Sep 25, 2021 | 23.24 Mn |
API Access
Wingstop EBITDA 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&ticker=WING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();