Wendy's (WEN) EBT (2009 - 2026)
Wendy's (WEN) reported EBT of $48.57 million for Q2 2026, down 36.0% from $75.9 million a year earlier but up 42.2% from the prior quarter.
Powered by 
Analysis
Wendy's (WEN) EBT (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Wendy's' EBT came in at $179.16 million, down 33.9% year-over-year; for FY2025, it came in at $227.25 million, down 16.6% from FY2024.
- EBT has a four-year compound annual growth rate of 10.4% (FY2021 to FY2025).
- By year, EBT came in at $272.41 million in FY2024 (-2.5%), $279.42 million in FY2023 (+14.7%), $243.51 million in FY2022 and $152.8 million in FY2021.
- Five-year quarterly EBT spans a low of $33.19 million in Q4 2025 and a high of $78.88 million in Q2 2023.
- Year over year, EBT has now declined in each of the last four quarters, with an average decline of 18.1% over the last eight quarters.
- The high point for year-over-year EBT in five years was Q4 2023 (growth of 24.9%); the low point was Q4 2025 (a decline of 52.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $34.17 million (Q1 2026), $33.19 million (Q4 2025) and $63.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.73 Bn | 194.55 Bn | 6.42 Bn | 2.94 Bn |
| 2 | Starbucks | 124.84 Bn | 112.47 Bn | - | 1.42 Bn |
| 3 | Chipotle Mexican Grill | 45.68 Bn | 42.18 Bn | - | 457.13 Mn |
| 4 | Yum Brands | 44.27 Bn | 41.15 Bn | 1.47 Bn | 533.00 Mn |
| 5 | Restaurant Brands International | 27.05 Bn | 22.84 Bn | 1.40 Bn | 571.00 Mn |
| 6 | Darden Restaurants | 26.14 Bn | 25.23 Bn | 1.68 Bn | 269.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 571.00 Mn |
| 8 | Yum China Holdings | 17.37 Bn | 11.02 Bn | 537.00 Mn | 354.00 Mn |
| 9 | Texas Roadhouse | 12.53 Bn | 11.87 Bn | - | 143.99 Mn |
| 10 | Wendy's | 1.58 Bn | 264.39 Mn | 338.73 Mn | 25.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 25.43 Mn |
| Jun 28, 2026 | 48.57 Mn |
| Mar 29, 2026 | 34.17 Mn |
| Dec 28, 2025 | 33.19 Mn |
| Sep 28, 2025 | 63.24 Mn |
| Jun 29, 2025 | 75.90 Mn |
| Mar 30, 2025 | 54.92 Mn |
| Dec 29, 2024 | 70.48 Mn |
| Sep 29, 2024 | 69.65 Mn |
| Jun 30, 2024 | 74.82 Mn |
| Mar 31, 2024 | 57.46 Mn |
| Dec 31, 2023 | 67.29 Mn |
| Oct 1, 2023 | 77.96 Mn |
| Jul 2, 2023 | 78.88 Mn |
| Apr 2, 2023 | 55.28 Mn |
| Jan 1, 2023 | 53.89 Mn |
| Oct 2, 2022 | 69.13 Mn |
| Jul 3, 2022 | 65.39 Mn |
| Apr 3, 2022 | 50.83 Mn |
| Oct 3, 2021 | 54.37 Mn |
API Access
Wendy's 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=WEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "ticker": "WEN", "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=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();