Wendy's (WEN) Revenue (2009 - 2026)
Wendy's (WEN) posted Revenue of $570.57 million for Q2 2026, up 1.7% from $560.93 million a year earlier and up 5.5% from the prior quarter.
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Analysis
Wendy's (WEN) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Revenue at Wendy's was $2.2 billion, down 1.0% year-over-year; for FY2025, it was $2.18 billion, down 3.1% from FY2024.
- Annual Revenue shows a four-year compound annual growth rate of 5.9% (FY2021 to FY2025).
- In prior years, Wendy's' Revenue was $2.25 billion in FY2024 (+3.0%), $2.18 billion in FY2023 (+4.1%), $2.1 billion in FY2022 and $1.73 billion in FY2021.
- The Q2 2026 figure stands as the highest quarterly Revenue since Q4 2024.
- On a year-over-year basis, Revenue increased in four of the last eight quarters, with growth averaging 0.2%.
- The strongest year-over-year quarter for Revenue in the past five years was Q4 2024, with growth of 6.2%; the weakest was Q4 2023, with a decline of 19.5%.
- According to Business Quant data, Revenue for the three prior quarters was $540.64 million (Q1 2026), $542.97 million (Q4 2025) and $549.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 9.32 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 3.35 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 2.17 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 3.72 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 1.68 Bn |
| 10 | Wendy's | 1.25 Bn | 14.59 Mn | 363.30 Mn | 570.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 570.57 Mn |
| Mar 29, 2026 | 540.64 Mn |
| Dec 28, 2025 | 542.97 Mn |
| Sep 28, 2025 | 549.52 Mn |
| Jun 29, 2025 | 560.93 Mn |
| Mar 30, 2025 | 523.47 Mn |
| Dec 29, 2024 | 574.27 Mn |
| Sep 29, 2024 | 566.74 Mn |
| Jun 30, 2024 | 570.73 Mn |
| Mar 31, 2024 | 534.75 Mn |
| Dec 31, 2023 | 540.65 Mn |
| Oct 1, 2023 | 550.56 Mn |
| Jul 2, 2023 | 561.57 Mn |
| Apr 2, 2023 | 528.81 Mn |
| Jan 1, 2023 | 671.71 Mn |
| Oct 2, 2022 | 532.57 Mn |
| Jul 3, 2022 | 537.78 Mn |
| Apr 3, 2022 | 488.64 Mn |
| Oct 3, 2021 | 470.26 Mn |
| Jul 4, 2021 | 493.34 Mn |
API Access
Wendy's Revenue 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=revenue&ticker=WEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();