Wendy's (WEN) Receivables (2010 - 2026)
Wendy's' Receivables came in at $151.35 million for Q2 2026, up 31.5% from $115.08 million a year earlier and up 3.8% from the prior quarter.
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Analysis
Wendy's (WEN) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Wendy's' Receivables was $117.33 million, up 17.4% from FY2024.
- Receivables carries a four-year compound annual growth rate of 1.6% (FY2021 to FY2025).
- Going back by year, Receivables was $99.93 million in FY2024 (-28.2%), $139.14 million in FY2023 (+18.4%), $117.55 million in FY2022 and $110.19 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q4 2011.
- Year-over-year, Receivables has increased for four consecutive quarters, with growth averaging 4.8% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q1 2026 (growth of 42.2%), and the weakest in Q4 2024 (a decline of 28.2%).
- Business Quant data shows WEN's Receivables at $145.74 million (Q1 2026), $117.33 million (Q4 2025) and $128.46 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 1.30 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 100.31 Mn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 623.00 Mn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 129.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 74.14 Mn |
| 10 | Wendy's | 1.22 Bn | -14.01 Mn | 363.30 Mn | 151.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 151.35 Mn |
| Mar 29, 2026 | 145.74 Mn |
| Dec 28, 2025 | 117.33 Mn |
| Sep 28, 2025 | 128.46 Mn |
| Jun 29, 2025 | 115.08 Mn |
| Mar 30, 2025 | 102.47 Mn |
| Dec 29, 2024 | 99.93 Mn |
| Sep 29, 2024 | 111.41 Mn |
| Jun 30, 2024 | 117.67 Mn |
| Mar 31, 2024 | 125.55 Mn |
| Dec 31, 2023 | 139.14 Mn |
| Oct 1, 2023 | 138.06 Mn |
| Jul 2, 2023 | 142.59 Mn |
| Apr 2, 2023 | 137.61 Mn |
| Jan 1, 2023 | 117.55 Mn |
| Oct 2, 2022 | 143.43 Mn |
| Jul 3, 2022 | 116.41 Mn |
| Apr 3, 2022 | 119.14 Mn |
| Jan 2, 2022 | 120.51 Mn |
| Oct 3, 2021 | 101.13 Mn |
API Access
Wendy's Receivables 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=receivables&ticker=WEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();