Wendy's (WEN) Total Liabilities (2010 - 2026)
Wendy's (WEN) posted Total Liabilities of $4.76 billion for Q2 2026, down 0.4% from $4.78 billion a year earlier and down 0.9% from the prior quarter.
Analysis
Wendy's (WEN) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Wendy's' Total Liabilities came in at $4.84 billion, up 1.3% from FY2024.
- Annual Total Liabilities shows a four-year compound annual growth rate of 1.9% (FY2021 to FY2025).
- In prior years, Wendy's' Total Liabilities was $4.78 billion in FY2024 (-2.0%), $4.87 billion in FY2023 (-3.2%), $5.03 billion in FY2022 and $4.49 billion in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q4 2019.
- On a year-over-year basis, Total Liabilities increased in three of the last eight quarters, with an average decline of 0.6%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2025, with growth of 1.3%; the weakest was Q4 2023, with a decline of 3.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $4.81 billion (Q1 2026), $4.84 billion (Q4 2025) and $4.87 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 35.97 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 6.66 Bn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 15.79 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 10.65 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 2.09 Bn |
| 10 | Wendy's | 1.22 Bn | -14.01 Mn | 363.30 Mn | 4.76 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 4.76 Bn |
| Mar 29, 2026 | 4.81 Bn |
| Dec 28, 2025 | 4.84 Bn |
| Sep 28, 2025 | 4.87 Bn |
| Jun 29, 2025 | 4.78 Bn |
| Mar 30, 2025 | 4.79 Bn |
| Dec 29, 2024 | 4.78 Bn |
| Sep 29, 2024 | 4.81 Bn |
| Jun 30, 2024 | 4.81 Bn |
| Mar 31, 2024 | 4.90 Bn |
| Dec 31, 2023 | 4.87 Bn |
| Oct 1, 2023 | 4.95 Bn |
| Jul 2, 2023 | 4.96 Bn |
| Apr 2, 2023 | 4.99 Bn |
| Jan 1, 2023 | 5.03 Bn |
| Oct 2, 2022 | 5.09 Bn |
| Jul 3, 2022 | 5.09 Bn |
| Apr 3, 2022 | 5.11 Bn |
| Jan 2, 2022 | 4.66 Bn |
| Oct 3, 2021 | 4.61 Bn |
API Access
Wendy's Total Liabilities 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=total-liabilities&ticker=WEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();