Wendy's (WEN) Shares Outstanding (2010 - 2026)
Wendy's' Shares Outstanding was 190.43 million in Q2 2026, down 0.8% from 191.95 million a year earlier but up 0.1% from the prior quarter.
Analysis
Wendy's (WEN) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Wendy's came in at 193.41 million, down 5.4% from FY2024.
- Shares Outstanding has now declined for three consecutive years, with a four-year compound annual growth rate of -3.6% (FY2021 to FY2025).
- In earlier years, Shares Outstanding was 204.35 million in FY2024 (-2.5%), 209.49 million in FY2023 (-2.0%), 213.77 million in FY2022 and 223.68 million in FY2021.
- Quarterly Shares Outstanding has moved between 190.29 million (Q1 2026) and 213.77 million (Q4 2022) over five years.
- Compared with a year earlier, Shares Outstanding has declined for 11 straight quarters, with an average decline of 3.9% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding ranged from 0.8% (Q2 2026) to 6.3% (Q2 2025).
- Per Business Quant data, WEN's Shares Outstanding in the three quarters before Q2 2026 was 190.29 million (Q1 2026), 193.41 million (Q4 2025) and 190.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 709.10 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.14 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 1.28 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 275.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 348.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 115.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 228.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 65.70 Mn |
| 10 | Wendy's | 1.22 Bn | -15.92 Mn | 363.30 Mn | 190.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 190.43 Mn |
| Mar 29, 2026 | 190.29 Mn |
| Dec 28, 2025 | 193.41 Mn |
| Sep 28, 2025 | 190.79 Mn |
| Jun 29, 2025 | 191.95 Mn |
| Mar 30, 2025 | 200.64 Mn |
| Dec 29, 2024 | 204.35 Mn |
| Sep 29, 2024 | 203.26 Mn |
| Jun 30, 2024 | 204.92 Mn |
| Mar 31, 2024 | 205.37 Mn |
| Dec 31, 2023 | 209.49 Mn |
| Oct 1, 2023 | 208.83 Mn |
| Jul 2, 2023 | 210.62 Mn |
| Apr 2, 2023 | 212.55 Mn |
| Jan 1, 2023 | 213.77 Mn |
| Oct 2, 2022 | 212.81 Mn |
| Jul 3, 2022 | 213.67 Mn |
| Apr 3, 2022 | 215.62 Mn |
| Jan 2, 2022 | 221.38 Mn |
| Oct 3, 2021 | 222.37 Mn |
API Access
Wendy's Shares Outstanding 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=shares-outstanding&ticker=WEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();