Wingstop (WING) EV to EBITDA (2015 - 2026)
Wingstop's (WING) quarterly EV to EBITDA came in at 80.34 in Q2 2026, down 61.55% on a YoY basis from 208.97 in Q2 2025, and little changed quarter-over-quarter from 80.37 in Q1 2026.
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Wingstop (WING) EV to EBITDA (2015 - 2026) Analysis & Trends
Wingstop (WING) has reported EV to EBITDA for 12 consecutive years, with 80.34 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to EBITDA fell 61.55% year-over-year to 80.34; the trailing twelve-month figure through Jun 2026 stood at 21.85 (down 61.82% YoY), and the FY2025 full-year result was 34.15, down 20.83% from the prior year.
- EV to EBITDA steadied at 80.34 in Q2 2026 per WING's latest filing, from 80.37 in the prior quarter.
- Across five years, EV to EBITDA topped out at 299.45 in Q3 2024 and bottomed at 80.34 in Q2 2026.
- Historically, EV to EBITDA has averaged 180.54 across 5 years, with a median of 173.76 in 2022.
- The sharpest annual moves came in 2022 and 2023: EV to EBITDA tumbled 62.2% in 2022, then surged 111.69% in 2023.
- Over 5 years, EV to EBITDA stood at 135.83 in 2022, then surged by 83.37% to 249.07 in 2023, then declined by 24.74% to 187.44 in 2024, then dropped by 22.17% to 145.9 in 2025, then slumped by 44.93% to 80.34 in 2026.
- According to Business Quant data, EV to EBITDA over the past three periods registered 80.34, 80.37, and 145.9 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Wingstop | 2.67 Bn | 2.51 Bn | 160.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 80.34 |
| Mar 28, 2026 | 80.37 |
| Dec 27, 2025 | 145.90 |
| Sep 27, 2025 | 135.04 |
| Jun 28, 2025 | 208.97 |
| Mar 29, 2025 | 156.11 |
| Dec 28, 2024 | 187.44 |
| Sep 28, 2024 | 299.45 |
| Jun 29, 2024 | 297.86 |
| Mar 30, 2024 | 248.99 |
| Dec 30, 2023 | 249.07 |
| Sep 30, 2023 | 169.66 |
| Jul 1, 2023 | 219.25 |
| Apr 1, 2023 | 206.15 |
| Dec 31, 2022 | 135.83 |
| Sep 24, 2022 | 147.85 |
| Jun 25, 2022 | 103.57 |
| Mar 26, 2022 | 177.85 |
| Dec 25, 2021 | 359.33 |
| Sep 25, 2021 | 257.29 |
API Access
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_KEYimport 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();