Wendy's (WEN) Accumulated Expenses (2010 - 2026)
Wendy's' Accumulated Expenses came in at $124.71 million for Q2 2026, up 0.7% from $123.79 million a year earlier and up 8.6% from the prior quarter.
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Analysis
Wendy's (WEN) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Wendy's' Accumulated Expenses was $116.66 million, down 1.3% from FY2024.
- Accumulated Expenses carries a four-year compound annual growth rate of -6.9% (FY2021 to FY2025).
- Going back by year, Accumulated Expenses was $118.22 million in FY2024 (-12.5%), $135.15 million in FY2023 (+16.5%), $116.01 million in FY2022 and $155.32 million in FY2021.
- The five-year range for quarterly Accumulated Expenses is $114.81 million (Q1 2026) to $148.94 million (Q3 2023).
- Year-over-year, Accumulated Expenses increased in three of the last eight quarters, with an average decline of 4.2%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2023 (growth of 16.5%), and the weakest in Q1 2026 (a decline of 17.4%).
- Business Quant data shows WEN's Accumulated Expenses at $114.81 million (Q1 2026), $116.66 million (Q4 2025) and $138.38 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - |
| 10 | Wendy's | 1.19 Bn | -40.70 Mn | 363.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 124.71 Mn |
| Mar 29, 2026 | 114.81 Mn |
| Dec 28, 2025 | 116.66 Mn |
| Sep 28, 2025 | 138.38 Mn |
| Jun 29, 2025 | 123.79 Mn |
| Mar 30, 2025 | 138.95 Mn |
| Dec 29, 2024 | 118.22 Mn |
| Sep 29, 2024 | 128.73 Mn |
| Jun 30, 2024 | 116.46 Mn |
| Mar 31, 2024 | 144.21 Mn |
| Dec 31, 2023 | 135.15 Mn |
| Oct 1, 2023 | 148.94 Mn |
| Jul 2, 2023 | 132.44 Mn |
| Apr 2, 2023 | 133.85 Mn |
| Jan 1, 2023 | 116.01 Mn |
| Oct 2, 2022 | 130.20 Mn |
| Jul 3, 2022 | 112.14 Mn |
| Apr 3, 2022 | 129.17 Mn |
| Jan 2, 2022 | 140.78 Mn |
| Oct 3, 2021 | 158.80 Mn |
API Access
Wendy's Accumulated 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=accumulated-expenses&ticker=WEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();