Wingstop (WING) EV to FCF (2015 - 2026)
Wingstop's (WING) quarterly EV to FCF came in at 388.73 in Q2 2026, up 68.02% on a YoY basis from 231.36 in Q2 2025, and down 518.87% quarter-over-quarter from 92.81 in Q1 2026.
Wingstop (WING) EV to FCF (2015 - 2026) Analysis & Trends
Wingstop (WING) has reported EV to FCF for 12 consecutive years, with 388.73 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to FCF rose 68.02% year-over-year to 388.73; the trailing twelve-month figure through Jun 2026 stood at 34.16 (down 79.84% YoY), and the FY2025 full-year result was 64.69, down 12.83% from the prior year.
- EV to FCF slipped to 388.73 in Q2 2026 per WING's latest filing, from 92.81 in the prior quarter.
- Across five years, EV to FCF topped out at 2997.61 in Q3 2023 and bottomed at 1215.46 in Q2 2025.
- Historically, EV to FCF has averaged 245.24 across 5 years, with a median of 211.13 in 2022.
- The sharpest annual moves came in 2023 and 2024: EV to FCF jumped 248.75% in 2023, then slumped 410.46% in 2024.
- Over 5 years, EV to FCF stood at 216.65 in 2022, then soared by 35.39% to 293.33 in 2023, then sank by 410.46% to 910.67 in 2024, then jumped by 121.76% to 198.2 in 2025, then tumbled by 296.13% to 388.73 in 2026.
- According to Business Quant data, EV to FCF over the past three periods registered 388.73, 92.81, and 198.2 for Q2 2026, Q1 2026, and Q4 2025 respectively.
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
| Date | Value |
|---|---|
| Jun 27, 2026 | -388.73 |
| Mar 28, 2026 | 92.81 |
| Dec 27, 2025 | 198.20 |
| Sep 27, 2025 | 107.24 |
| Jun 28, 2025 | -1,215.46 |
| Mar 29, 2025 | 345.81 |
| Dec 28, 2024 | -910.67 |
| Sep 28, 2024 | 217.13 |
| Jun 29, 2024 | 474.46 |
| Mar 30, 2024 | 317.64 |
| Dec 30, 2023 | 293.33 |
| Sep 30, 2023 | 212.38 |
| Jul 1, 2023 | 2,997.61 |
| Apr 1, 2023 | 182.30 |
| Dec 31, 2022 | 216.65 |
| Sep 24, 2022 | 204.29 |
| Jun 25, 2022 | 859.54 |
| Mar 26, 2022 | 209.88 |
| Dec 25, 2021 | -306.94 |
| Sep 25, 2021 | 378.84 |
Wingstop EV to FCF 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-fcf&ticker=WING&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();