Wendy's (WEN) Operating Expenses (2009 - 2026)
Wendy's (WEN) reported Operating Expenses of $491.29 million for Q2 2026, up 7.6% from $456.67 million a year earlier and up 3.3% from the prior quarter.
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Analysis
Wendy's (WEN) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Wendy's' Operating Expenses came in at $1.9 billion, up 3.0% year-over-year; for FY2025, it came in at $1.83 billion, down 2.2% from FY2024.
- Operating Expenses has a four-year compound annual growth rate of 5.8% (FY2021 to FY2025).
- By year, Operating Expenses came in at $1.88 billion in FY2024 (+4.2%), $1.8 billion in FY2023 (+3.3%), $1.74 billion in FY2022 and $1.46 billion in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q4 2022.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with growth averaging 2.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2026 (growth of 8.0%); the low point was Q4 2023 (a decline of 25.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $475.72 million (Q1 2026), $478.96 million (Q4 2025) and $457.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 8.42 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 2.82 Bn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 1.51 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 1.54 Bn |
| 10 | Wendy's | 1.22 Bn | -14.01 Mn | 363.30 Mn | 491.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 491.29 Mn |
| Mar 29, 2026 | 475.72 Mn |
| Dec 28, 2025 | 478.96 Mn |
| Sep 28, 2025 | 457.47 Mn |
| Jun 29, 2025 | 456.67 Mn |
| Mar 30, 2025 | 440.35 Mn |
| Dec 29, 2024 | 478.25 Mn |
| Sep 29, 2024 | 472.06 Mn |
| Jun 30, 2024 | 471.22 Mn |
| Mar 31, 2024 | 453.60 Mn |
| Dec 31, 2023 | 454.02 Mn |
| Oct 1, 2023 | 448.95 Mn |
| Jul 2, 2023 | 452.29 Mn |
| Apr 2, 2023 | 444.33 Mn |
| Jan 1, 2023 | 608.46 Mn |
| Oct 2, 2022 | 434.43 Mn |
| Jul 3, 2022 | 441.50 Mn |
| Apr 3, 2022 | 413.76 Mn |
| Oct 3, 2021 | 390.06 Mn |
| Jul 4, 2021 | 366.59 Mn |
API Access
Wendy's Operating Expenses 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=operating-expenses&ticker=WEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();