Wendy's (WEN) Cash & Equivalents (2009 - 2026)
Wendy's (WEN) reported Cash & Equivalents of $341.21 million for Q2 2026, up 21.3% from $281.23 million a year earlier and up 14.2% from the prior quarter.
Powered by 
Analysis
Wendy's (WEN) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Wendy's posted Cash & Equivalents of $300.83 million, down 33.2% from FY2024.
- Cash & Equivalents has declined for three consecutive years, with a four-year compound annual growth rate of -0.5% (FY2021 to FY2025).
- By year, Cash & Equivalents came in at $450.51 million in FY2024 (-12.7%), $516.04 million in FY2023 (-30.8%), $745.89 million in FY2022 and $306.99 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents since Q4 2024.
- Year over year, Cash & Equivalents gained in 1 of the last eight quarters, with an average decline of 20.8%.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2026 (growth of 21.3%); the low point was Q2 2025 (a decline of 39.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $298.74 million (Q1 2026), $300.83 million (Q4 2025) and $291.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 3.45 Bn |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 228.20 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 674.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 202.43 Mn |
| 10 | Wendy's | 1.17 Bn | -65.48 Mn | 363.30 Mn | 341.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 341.21 Mn |
| Mar 29, 2026 | 298.74 Mn |
| Dec 28, 2025 | 300.83 Mn |
| Sep 28, 2025 | 291.41 Mn |
| Jun 29, 2025 | 281.23 Mn |
| Mar 30, 2025 | 335.26 Mn |
| Dec 29, 2024 | 450.51 Mn |
| Sep 29, 2024 | 482.22 Mn |
| Jun 30, 2024 | 465.49 Mn |
| Mar 31, 2024 | 498.33 Mn |
| Dec 31, 2023 | 516.04 Mn |
| Oct 1, 2023 | 598.03 Mn |
| Jul 2, 2023 | 635.43 Mn |
| Apr 2, 2023 | 676.47 Mn |
| Jan 1, 2023 | 745.89 Mn |
| Oct 2, 2022 | 731.80 Mn |
| Jul 3, 2022 | 700.81 Mn |
| Apr 3, 2022 | 741.22 Mn |
| Jan 2, 2022 | 249.44 Mn |
| Oct 3, 2021 | 571.50 Mn |
API Access
Wendy's Cash & Equivalents 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=cash-and-equivalents&ticker=WEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();