Wendy's (WEN) Total Current Liabilities (2010 - 2026)
Wendy's (WEN) reported Total Current Liabilities of $357.47 million for Q2 2026, down 13.9% from $415.22 million a year earlier but up 0.4% from the prior quarter.
Wendy's (WEN) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Wendy's posted Total Current Liabilities of $351.1 million, down 11.7% from FY2024.
- Total Current Liabilities has a four-year compound annual growth rate of -4.0% (FY2021 to FY2025).
- By year, Total Current Liabilities came in at $397.63 million in FY2024 (+4.1%), $381.93 million in FY2023 (-1.6%), $388 million in FY2022 and $413.31 million in FY2021.
- Five-year quarterly Total Current Liabilities spans a low of $351.1 million in Q4 2025 and a high of $793.73 million in Q3 2025.
- Year over year, Total Current Liabilities has now declined in each of the last three quarters, with growth averaging 10.1% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2025 (growth of 112.8%); the low point was Q1 2026 (a decline of 17.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $356.16 million (Q1 2026), $351.1 million (Q4 2025) and $793.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 4.02 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 9.92 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 1.32 Bn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 4.29 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 2.31 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 3.01 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.31 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 2.44 Bn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 790.79 Mn |
| 10 | Wendy's | 1.22 Bn | -14.01 Mn | 363.30 Mn | 357.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 357.47 Mn |
| Mar 29, 2026 | 356.16 Mn |
| Dec 28, 2025 | 351.10 Mn |
| Sep 28, 2025 | 793.73 Mn |
| Jun 29, 2025 | 415.22 Mn |
| Mar 30, 2025 | 433.51 Mn |
| Dec 29, 2024 | 397.63 Mn |
| Sep 29, 2024 | 373.07 Mn |
| Jun 30, 2024 | 364.86 Mn |
| Mar 31, 2024 | 425.45 Mn |
| Dec 31, 2023 | 381.93 Mn |
| Oct 1, 2023 | 405.20 Mn |
| Jul 2, 2023 | 389.92 Mn |
| Apr 2, 2023 | 399.53 Mn |
| Jan 1, 2023 | 388.00 Mn |
| Oct 2, 2022 | 418.42 Mn |
| Jul 3, 2022 | 398.82 Mn |
| Apr 3, 2022 | 407.65 Mn |
| Jan 2, 2022 | 426.93 Mn |
| Oct 3, 2021 | 407.19 Mn |
Wendy's Total 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-current-liabilities&ticker=WEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();