Wendy's (WEN) Retained Earnings (2010 - 2026)
Wendy's' Retained Earnings was $437.1 million in Q2 2026, up 4.6% from $417.77 million a year earlier and up 1.4% from the prior quarter.
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Analysis
Wendy's (WEN) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Wendy's came in at $435.12 million, up 8.9% from FY2024.
- Retained Earnings shows a four-year compound annual growth rate of 16.2% (FY2021 to FY2025).
- In earlier years, Retained Earnings was $399.7 million in FY2024 (-2.5%), $409.86 million in FY2023 (-1.2%), $414.75 million in FY2022 and $238.67 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Retained Earnings in data going back to Q4 2011.
- Compared with a year earlier, Retained Earnings has increased for five straight quarters, with growth averaging 3.5% over the last eight quarters.
- The best year-over-year quarter for Retained Earnings over five years was Q1 2026 (growth of 10.7%); the worst was Q1 2025 (a decline of 2.7%).
- Per Business Quant data, WEN's Retained Earnings in the three quarters before Q2 2026 was $431.17 million (Q1 2026), $435.12 million (Q4 2025) and $435.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 71.99 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | -8.54 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | -67.16 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | -6.81 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 2.18 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | -108.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 1.70 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 1.56 Bn |
| 10 | Wendy's | 1.25 Bn | 14.59 Mn | 363.30 Mn | 437.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 437.10 Mn |
| Mar 29, 2026 | 431.17 Mn |
| Dec 28, 2025 | 435.12 Mn |
| Sep 28, 2025 | 435.29 Mn |
| Jun 29, 2025 | 417.77 Mn |
| Mar 30, 2025 | 389.48 Mn |
| Dec 29, 2024 | 399.70 Mn |
| Sep 29, 2024 | 403.26 Mn |
| Jun 30, 2024 | 403.84 Mn |
| Mar 31, 2024 | 400.47 Mn |
| Dec 31, 2023 | 409.86 Mn |
| Oct 1, 2023 | 414.32 Mn |
| Jul 2, 2023 | 408.45 Mn |
| Apr 2, 2023 | 401.45 Mn |
| Jan 1, 2023 | 414.75 Mn |
| Oct 2, 2022 | 400.11 Mn |
| Jul 3, 2022 | 376.19 Mn |
| Apr 3, 2022 | 354.68 Mn |
| Jan 2, 2022 | 344.20 Mn |
| Oct 3, 2021 | 317.96 Mn |
API Access
Wendy's Retained Earnings 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=retained-earnings&ticker=WEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();