Wendy's (WEN) Interest Expenses (2009 - 2026)
Wendy's' Interest Expenses came in at $33.85 million for Q2 2026, up 9.4% from $30.95 million a year earlier but down 0.8% from the prior quarter.
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Analysis
Wendy's (WEN) Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Wendy's reported Interest Expenses of $132 million, up 5.8% year-over-year; for FY2025, it came in at $126.47 million, up 2.1% from FY2024.
- Interest Expenses carries a four-year compound annual growth rate of 1.8% (FY2021 to FY2025).
- Going back by year, Interest Expenses was $123.88 million in FY2024 (-0.1%), $124.06 million in FY2023 (+1.4%), $122.32 million in FY2022 and $117.74 million in FY2021.
- The five-year range for quarterly Interest Expenses is $30.26 million (Q4 2023) to $39.33 million (Q4 2022).
- Year-over-year, Interest Expenses has increased for four consecutive quarters, with growth averaging 3.7% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in Q2 2026 (growth of 9.4%), and the weakest in Q4 2023 (a decline of 23.1%).
- Business Quant data shows WEN's Interest Expenses at $34.11 million (Q1 2026), $32.5 million (Q4 2025) and $31.54 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 409.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 134.60 Mn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 124.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | - |
| 10 | Wendy's | 1.22 Bn | -15.92 Mn | 363.30 Mn | 33.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 33.85 Mn |
| Mar 29, 2026 | 34.11 Mn |
| Dec 28, 2025 | 32.50 Mn |
| Sep 28, 2025 | 31.54 Mn |
| Jun 29, 2025 | 30.95 Mn |
| Mar 30, 2025 | 31.48 Mn |
| Dec 29, 2024 | 31.08 Mn |
| Sep 29, 2024 | 31.27 Mn |
| Jun 30, 2024 | 31.00 Mn |
| Mar 31, 2024 | 30.54 Mn |
| Dec 31, 2023 | 30.26 Mn |
| Oct 1, 2023 | 30.96 Mn |
| Jul 2, 2023 | 31.14 Mn |
| Apr 2, 2023 | 31.71 Mn |
| Jan 1, 2023 | 39.33 Mn |
| Oct 2, 2022 | 31.92 Mn |
| Jul 3, 2022 | 32.13 Mn |
| Apr 3, 2022 | 26.37 Mn |
| Oct 3, 2021 | 26.00 Mn |
| Jul 4, 2021 | 28.20 Mn |
API Access
Wendy's Interest 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=interest-expenses&ticker=WEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();