Wingstop (WING) EV to EBITDA (2015 - 2026)
Wingstop's (WING) EV to EBITDA stood at 19.41 in Q2 2026, down 61.4% from 50.28 a year earlier but up 3.3% from the prior quarter.
Wingstop (WING) EV to EBITDA (2015 - 2026) Analysis & Trends
On a TTM basis, Wingstop's EV to EBITDA came in at 16.93 as of Jun 27, 2026, down 63.8% year-over-year; for FY2025, it came in at 33.56, down 21.0% from FY2024.
- Across earlier years, EV to EBITDA came in at 42.48 in FY2024 (-28.1%), 59.10 in FY2023 (+54.5%), 38.26 in FY2022 (-38.9%) and 62.58 in FY2021 (-1.8%).
- Quarterly EV to EBITDA has ranged from 18.78 in Q1 2026 to 76.79 in Q2 2024 over the past five years.
- On a year-over-year basis, EV to EBITDA has declined for seven consecutive quarters, with an average decline of 28.6% over the last eight quarters.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 76.9% in Q2 2023, against a decline of 61.4% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 18.78 (Q1 2026), 33.56 (Q4 2025) and 33.38 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Wingstop | 3.58 Bn | 2.89 Bn | 160.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 19.14 |
| Mar 28, 2026 | 18.51 |
| Dec 27, 2025 | 33.06 |
| Sep 27, 2025 | 32.90 |
| Jun 28, 2025 | 49.58 |
| Mar 29, 2025 | 32.28 |
| Dec 28, 2024 | 41.99 |
| Sep 28, 2024 | 69.01 |
| Jun 29, 2024 | 75.82 |
| Mar 30, 2024 | 73.28 |
| Dec 30, 2023 | 58.16 |
| Sep 30, 2023 | 41.16 |
| Jul 1, 2023 | 48.64 |
| Apr 1, 2023 | 46.24 |
| Dec 31, 2022 | 37.56 |
| Sep 24, 2022 | 40.07 |
| Jun 25, 2022 | 27.46 |
| Mar 26, 2022 | 36.89 |
| Dec 25, 2021 | 61.52 |
| Sep 25, 2021 | 68.21 |
Wingstop EV to 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=ev-to-ebitda&ticker=WING&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();