Wendy's (WEN) Other Non-Current Liabilities (2010 - 2026)
Wendy's' Other Non-Current Liabilities came in at $72.05 million for Q2 2026, down 7.7% from $78.03 million a year earlier and down 1.0% from the prior quarter.
Powered by 
Analysis
Wendy's (WEN) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Wendy's' Other Non-Current Liabilities was $74.89 million, down 11.1% from FY2024.
- Other Non-Current Liabilities has declined in each of the last three years, with a four-year compound annual growth rate of -10.7% (FY2021 to FY2025).
- Going back by year, Other Non-Current Liabilities was $84.23 million in FY2024 (-6.1%), $89.71 million in FY2023 (-9.2%), $98.85 million in FY2022 and $117.69 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Other Non-Current Liabilities in data going back to Q4 2011.
- Year-over-year, Other Non-Current Liabilities has declined for 11 consecutive quarters, with an average decline of 9.2% over the last eight quarters.
- Over the past five years, the year-over-year decline in Other Non-Current Liabilities ranged from 6.1% (Q4 2024) to 11.1% (Q4 2025).
- Business Quant data shows WEN's Other Non-Current Liabilities at $72.8 million (Q1 2026), $74.89 million (Q4 2025) and $78.19 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 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 |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 72.05 Mn |
| Mar 29, 2026 | 72.80 Mn |
| Dec 28, 2025 | 74.89 Mn |
| Sep 28, 2025 | 78.19 Mn |
| Jun 29, 2025 | 78.03 Mn |
| Mar 30, 2025 | 80.74 Mn |
| Dec 29, 2024 | 84.23 Mn |
| Sep 29, 2024 | 84.61 Mn |
| Jun 30, 2024 | 87.07 Mn |
| Mar 31, 2024 | 90.05 Mn |
| Dec 31, 2023 | 89.71 Mn |
| Oct 1, 2023 | 94.44 Mn |
| Jul 2, 2023 | 94.71 Mn |
| Apr 2, 2023 | 96.49 Mn |
| Jan 1, 2023 | 98.85 Mn |
| Oct 2, 2022 | 101.84 Mn |
| Jul 3, 2022 | 106.28 Mn |
| Apr 3, 2022 | 109.27 Mn |
| Jan 2, 2022 | 112.92 Mn |
| Oct 3, 2021 | 117.08 Mn |
API Access
Wendy's Other 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=other-non-current-liabilities&ticker=WEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();