Wendy's (WEN) Total Non-Current Liabilities (2010 - 2026)
Wendy's' Total Non-Current Liabilities was $4.69 billion in Q2 2026, down 0.2% from $4.7 billion a year earlier and down 0.9% from the prior quarter.
Wendy's (WEN) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Wendy's came in at $4.76 billion, up 1.6% from FY2024.
- Total Non-Current Liabilities shows a four-year compound annual growth rate of 2.2% (FY2021 to FY2025).
- In earlier years, Total Non-Current Liabilities was $4.69 billion in FY2024 (-1.9%), $4.78 billion in FY2023 (-3.1%), $4.93 billion in FY2022 and $4.37 billion in FY2021.
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q4 2024.
- Compared with a year earlier, Total Non-Current Liabilities was higher in three of the last eight quarters, with an average decline of 0.5%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2025 (growth of 1.6%); the worst was Q4 2023 (a decline of 3.1%).
- Per Business Quant data, WEN's Total Non-Current Liabilities in the three quarters before Q2 2026 was $4.74 billion (Q1 2026), $4.76 billion (Q4 2025) and $4.79 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 60.27 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 6.58 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 13.75 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 18.73 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 8.71 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 18.73 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 1.88 Bn |
| 10 | Wendy's | 1.22 Bn | -15.92 Mn | 363.30 Mn | 4.69 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 4.69 Bn |
| Mar 29, 2026 | 4.74 Bn |
| Dec 28, 2025 | 4.76 Bn |
| Sep 28, 2025 | 4.79 Bn |
| Jun 29, 2025 | 4.70 Bn |
| Mar 30, 2025 | 4.71 Bn |
| Dec 29, 2024 | 4.69 Bn |
| Sep 29, 2024 | 4.73 Bn |
| Jun 30, 2024 | 4.73 Bn |
| Mar 31, 2024 | 4.81 Bn |
| Dec 31, 2023 | 4.78 Bn |
| Oct 1, 2023 | 4.85 Bn |
| Jul 2, 2023 | 4.87 Bn |
| Apr 2, 2023 | 4.89 Bn |
| Jan 1, 2023 | 4.93 Bn |
| Oct 2, 2022 | 4.99 Bn |
| Jul 3, 2022 | 4.99 Bn |
| Apr 3, 2022 | 5.00 Bn |
| Jan 2, 2022 | 4.55 Bn |
| Oct 3, 2021 | 4.50 Bn |
Wendy's Total Non-Current 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-non-current-liabilities&ticker=WEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();