Wingstop (WING) EBT (2014 - 2026)
Wingstop's (WING) quarterly EBT came in at $44.7 million in Q2 2026, up 21.45% on a YoY basis from $36.8 million in Q2 2025, and up 10.05% quarter-over-quarter from $40.6 million in Q1 2026.
Wingstop (WING) EBT (2014 - 2026) Analysis & Trends
Wingstop (WING) has reported EBT for 13 consecutive years, with $44.7 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EBT rose 21.45% year-over-year to $44.7 million; the trailing twelve-month figure through Jun 2026 stood at $162.5 million (down 30.02% YoY), and the FY2025 full-year result was $237.2 million, up 61.14% from the prior year.
- EBT grew to $44.7 million in Q2 2026 per WING's latest filing, from $40.6 million in the prior quarter.
- Across five years, EBT topped out at $123.2 million in Q1 2025 and bottomed at $11.5 million in Q1 2022.
- Historically, EBT has averaged $35.2 million across 5 years, with a median of $36.0 million in 2024.
- The sharpest annual moves came in 2025 and 2026: EBT jumped 220.0% in 2025, then sank 67.07% in 2026.
- Over 5 years, EBT stood at $23.4 million in 2022, then grew by 6.94% to $25.0 million in 2023, then surged by 46.91% to $36.7 million in 2024, then gained by 2.42% to $37.6 million in 2025, then gained by 18.75% to $44.7 million in 2026.
- According to Business Quant data, EBT over the past three periods registered $44.7 million, $40.6 million, and $37.6 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 2.94 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 1.42 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 533.27 Mn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 533.00 Mn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 592.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 465.60 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 592.00 Mn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 354.00 Mn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 143.99 Mn |
| 10 | Wingstop | 2.67 Bn | 2.51 Bn | 160.50 Mn | 44.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 44.65 Mn |
| Mar 28, 2026 | 40.57 Mn |
| Dec 27, 2025 | 37.60 Mn |
| Sep 27, 2025 | 39.63 Mn |
| Jun 28, 2025 | 36.77 Mn |
| Mar 29, 2025 | 123.19 Mn |
| Dec 28, 2024 | 36.71 Mn |
| Sep 28, 2024 | 35.49 Mn |
| Jun 29, 2024 | 36.49 Mn |
| Mar 30, 2024 | 38.50 Mn |
| Dec 30, 2023 | 24.99 Mn |
| Sep 30, 2023 | 26.15 Mn |
| Jul 1, 2023 | 22.26 Mn |
| Apr 1, 2023 | 20.91 Mn |
| Dec 31, 2022 | 23.37 Mn |
| Sep 24, 2022 | 18.05 Mn |
| Jun 25, 2022 | 16.36 Mn |
| Mar 26, 2022 | 11.54 Mn |
| Dec 25, 2021 | 10.58 Mn |
| Sep 25, 2021 | 17.13 Mn |
Wingstop EBT 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=ebt&ticker=WING&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();