Wendy's (WEN) EBIT (2009 - 2026)
Wendy's' EBIT was $79.28 million in Q2 2026, down 24.0% from $104.26 million a year earlier but up 22.1% from the prior quarter.
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Analysis
Wendy's (WEN) EBIT (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wendy's' EBIT was $300.27 million through Jun 28, 2026, down 20.6% year-over-year; for FY2025, it was $343.45 million, down 7.5% from FY2024.
- EBIT shows a four-year compound annual growth rate of 6.3% (FY2021 to FY2025).
- In earlier years, EBIT was $371.36 million in FY2024 (-2.8%), $381.98 million in FY2023 (+8.1%), $353.31 million in FY2022 and $269.31 million in FY2021.
- Quarterly EBIT has moved between $63.25 million (Q4 2022) and $109.27 million (Q2 2023) over five years.
- Compared with a year earlier, EBIT has declined for four straight quarters, with an average decline of 8.8% over the last eight quarters.
- The best year-over-year quarter for EBIT over five years was Q4 2023 (growth of 37.0%); the worst was Q4 2025 (a decline of 33.3%).
- Per Business Quant data, WEN's EBIT in the three quarters before Q2 2026 was $64.92 million (Q1 2026), $64.02 million (Q4 2025) and $92.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 3.34 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 980.40 Mn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 525.60 Mn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 655.00 Mn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 716.00 Mn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 516.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 716.00 Mn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 142.79 Mn |
| 10 | Wendy's | 1.22 Bn | -14.01 Mn | 363.30 Mn | 79.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 79.28 Mn |
| Mar 29, 2026 | 64.92 Mn |
| Dec 28, 2025 | 64.02 Mn |
| Sep 28, 2025 | 92.05 Mn |
| Jun 29, 2025 | 104.26 Mn |
| Mar 30, 2025 | 83.13 Mn |
| Dec 29, 2024 | 96.02 Mn |
| Sep 29, 2024 | 94.68 Mn |
| Jun 30, 2024 | 99.51 Mn |
| Mar 31, 2024 | 81.16 Mn |
| Dec 31, 2023 | 86.63 Mn |
| Oct 1, 2023 | 101.60 Mn |
| Jul 2, 2023 | 109.27 Mn |
| Apr 2, 2023 | 84.48 Mn |
| Jan 1, 2023 | 63.25 Mn |
| Oct 2, 2022 | 98.14 Mn |
| Jul 3, 2022 | 96.28 Mn |
| Apr 3, 2022 | 74.88 Mn |
| Oct 3, 2021 | 80.20 Mn |
| Jul 4, 2021 | 126.75 Mn |
API Access
Wendy's EBIT 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=ebit&ticker=WEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();