Wendy's (WEN) Shares Outstanding (Diluted) (2010 - 2026)
Wendy's (WEN) reported Shares Outstanding (Diluted) of 191.21 million for Q2 2026, down 0.8% from 192.71 million a year earlier but up 0.2% from the prior quarter.
Wendy's (WEN) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Wendy's posted Shares Outstanding (Diluted) of 194.03 million, down 5.6% from FY2024.
- Shares Outstanding (Diluted) has declined for three consecutive years, with a four-year compound annual growth rate of -4.0% (FY2021 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 205.61 million in FY2024 (-2.8%), 211.53 million in FY2023 (-2.0%), 215.84 million in FY2022 and 228.01 million in FY2021.
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 190.9 million in Q1 2026 and a high of 215.84 million in Q4 2022.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last 11 quarters, with an average decline of 4.1% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding (Diluted) ran from 0.8% in Q2 2026 to 6.5% in Q2 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at 190.9 million (Q1 2026), 194.03 million (Q4 2025) and 191.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 711.10 Mn |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 1.14 Bn |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 1.28 Bn |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 277.00 Mn |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | 460.00 Mn |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 116.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 336.00 Mn |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 349.00 Mn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 65.92 Mn |
| 10 | Wendy's | 1.19 Bn | -40.70 Mn | 363.30 Mn | 191.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 191.21 Mn |
| Mar 29, 2026 | 190.90 Mn |
| Dec 28, 2025 | 194.03 Mn |
| Sep 28, 2025 | 191.25 Mn |
| Jun 29, 2025 | 192.71 Mn |
| Mar 30, 2025 | 201.62 Mn |
| Dec 29, 2024 | 205.61 Mn |
| Sep 29, 2024 | 204.25 Mn |
| Jun 30, 2024 | 206.19 Mn |
| Mar 31, 2024 | 206.97 Mn |
| Dec 31, 2023 | 211.53 Mn |
| Oct 1, 2023 | 210.60 Mn |
| Jul 2, 2023 | 212.93 Mn |
| Apr 2, 2023 | 215.03 Mn |
| Jan 1, 2023 | 215.84 Mn |
| Oct 2, 2022 | 214.60 Mn |
| Jul 3, 2022 | 215.24 Mn |
| Apr 3, 2022 | 218.17 Mn |
| Jan 2, 2022 | 224.41 Mn |
| Oct 3, 2021 | 225.06 Mn |
Wendy's Shares Outstanding (Diluted) 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-diluted&ticker=WEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();