Wendy's (WEN) Cost of Revenue (2009 - 2026)
Wendy's' Cost of Revenue came in at $207.28 million for Q2 2026, up 5.5% from $196.52 million a year earlier and up 3.1% from the prior quarter.
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Analysis
Wendy's (WEN) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Wendy's reported Cost of Revenue of $815.36 million, up 5.1% year-over-year; for FY2025, it was $791.72 million, up 1.1% from FY2024.
- Cost of Revenue carries a four-year compound annual growth rate of 6.5% (FY2021 to FY2025).
- Going back by year, Cost of Revenue was $783.21 million in FY2024 (-1.4%), $794.49 million in FY2023 (+2.8%), $773.17 million in FY2022 and $614.91 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Cost of Revenue since Q4 2022.
- Year-over-year, Cost of Revenue has increased for four consecutive quarters, with growth averaging 1.7% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q1 2026 (growth of 6.8%), and the weakest in Q4 2023 (a decline of 37.5%).
- Business Quant data shows WEN's Cost of Revenue at $201.05 million (Q1 2026), $202.78 million (Q4 2025) and $204.26 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 680.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 700.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 1.14 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 1.52 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.14 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 2.60 Bn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | - |
| 10 | Wendy's | 1.17 Bn | -65.48 Mn | 363.30 Mn | 207.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 207.28 Mn |
| Mar 29, 2026 | 201.05 Mn |
| Dec 28, 2025 | 202.78 Mn |
| Sep 28, 2025 | 204.26 Mn |
| Jun 29, 2025 | 196.52 Mn |
| Mar 30, 2025 | 188.17 Mn |
| Dec 29, 2024 | 195.57 Mn |
| Sep 29, 2024 | 195.64 Mn |
| Jun 30, 2024 | 199.89 Mn |
| Mar 31, 2024 | 192.11 Mn |
| Dec 31, 2023 | 197.43 Mn |
| Oct 1, 2023 | 199.52 Mn |
| Jul 2, 2023 | 201.01 Mn |
| Apr 2, 2023 | 196.54 Mn |
| Jan 1, 2023 | 315.73 Mn |
| Oct 2, 2022 | 196.17 Mn |
| Jul 3, 2022 | 197.29 Mn |
| Apr 3, 2022 | 185.05 Mn |
| Oct 3, 2021 | 146.44 Mn |
| Jul 4, 2021 | 154.15 Mn |
API Access
Wendy's Cost of 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=cost-of-revenue&ticker=WEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();