Wingstop (WING) EBITDA (2014 - 2026)
Wingstop's EBITDA came in at $60.52 million for Q3 2026, up 8.1% from $55.98 million a year earlier but down 3.4% from the prior quarter.
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Analysis
Wingstop (WING) EBITDA (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 26, 2026, Wingstop reported EBITDA of $235.24 million, up 16.6% year-over-year; for FY2025, it came in at $207.49 million, up 10.8% from FY2024.
- EBITDA has increased in each of the last 12 years, with a five-year compound annual growth rate of 25.6% (FY2020 to FY2025).
- Going back by year, EBITDA was $187.26 million in FY2024 (+46.4%), $127.88 million in FY2023 (+22.1%), $104.77 million in FY2022 (+26.1%) and $83.1 million in FY2021 (+25.0%).
- The five-year range for quarterly EBITDA is $17.13 million (Q4 2021) to $62.66 million (Q2 2026).
- Year-over-year, EBITDA has increased for six consecutive quarters, with growth averaging 17.7% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q4 2022 (growth of 91.0%), and the weakest in Q1 2022 (a decline of 12.5%).
- Business Quant data shows WING's EBITDA at $62.66 million (Q2 2026), $58.05 million (Q1 2026) and $54.02 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 554.58 Mn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 776.00 Mn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 776.00 Mn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 201.13 Mn |
| 10 | Wingstop | 4.53 Bn | 3.98 Bn | 157.92 Mn | 60.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 60.52 Mn |
| 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 |
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();