Wendy's (WEN) Consolidated Net Income (2009 - 2026)
Wendy's' Consolidated Net Income came in at $32.62 million for Q2 2026, down 40.8% from $55.11 million a year earlier but up 43.6% from the prior quarter.
Wendy's (WEN) Consolidated Net Income (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Wendy's reported Consolidated Net Income of $126.06 million, down 34.4% year-over-year; for FY2025, it came in at $165.08 million, down 15.1% from FY2024.
- Consolidated Net Income carries a four-year compound annual growth rate of 8.8% (FY2021 to FY2025).
- Going back by year, Consolidated Net Income was $194.36 million in FY2024 (-4.9%), $204.44 million in FY2023 (+15.3%), $177.37 million in FY2022 and $117.83 million in FY2021.
- The five-year range for quarterly Consolidated Net Income is $22.71 million (Q1 2026) to $59.63 million (Q2 2023).
- Year-over-year, Consolidated Net Income has declined for four consecutive quarters, with an average decline of 19.6% over the last eight quarters.
- The fastest year-over-year change in Consolidated Net Income over five years came in Q4 2023 (growth of 61.2%), and the weakest in Q4 2025 (a decline of 44.2%).
- Business Quant data shows WEN's Consolidated Net Income at $22.71 million (Q1 2026), $26.48 million (Q4 2025) and $44.25 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 2.36 Bn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 1.04 Bn |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 403.55 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 853.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 665.00 Mn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 233.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 665.00 Mn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 264.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 124.51 Mn |
| 10 | Wendy's | 1.17 Bn | -65.48 Mn | 363.30 Mn | 32.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 32.62 Mn |
| Mar 29, 2026 | 22.71 Mn |
| Dec 28, 2025 | 26.48 Mn |
| Sep 28, 2025 | 44.25 Mn |
| Jun 29, 2025 | 55.11 Mn |
| Mar 30, 2025 | 39.23 Mn |
| Dec 29, 2024 | 47.50 Mn |
| Sep 29, 2024 | 50.22 Mn |
| Jun 30, 2024 | 54.64 Mn |
| Mar 31, 2024 | 41.99 Mn |
| Dec 31, 2023 | 46.94 Mn |
| Oct 1, 2023 | 58.05 Mn |
| Jul 2, 2023 | 59.63 Mn |
| Apr 2, 2023 | 39.82 Mn |
| Jan 1, 2023 | 29.11 Mn |
| Oct 2, 2022 | 50.54 Mn |
| Jul 3, 2022 | 48.15 Mn |
| Apr 3, 2022 | 37.40 Mn |
| Oct 3, 2021 | 41.17 Mn |
| Jul 4, 2021 | 65.72 Mn |
Wendy's Consolidated Net Income 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=consolidated-net-income&ticker=WEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();