Wingstop (WING) Shares Outstanding (Diluted) (2014 - 2026)
Wingstop (WING) reported Weighted Average Shares Outstanding (Diluted) of 27.14 million for Q3 2026, down 3.1% from 27.99 million a year earlier and down 0.4% from the prior quarter.
Wingstop (WING) Shares Outstanding (Diluted) (2014 - 2026) Analysis & Trends
For FY2025, Wingstop posted Weighted Average Shares Outstanding (Diluted) of 28.07 million, down 4.5% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has declined for three consecutive years, with a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 29.38 million in FY2024 (-1.6%), 29.86 million in FY2023 (-0.4%), 29.96 million in FY2022 (+0.1%) and 29.94 million in FY2021 (+0.5%).
- The Q3 2026 figure ranks as the lowest quarterly Weighted Average Shares Outstanding (Diluted) since Q2 2015.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now declined in each of the last 13 quarters, with an average decline of 3.5% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q4 2021 (growth of 0.5%); the low point was Q2 2025 (a decline of 5.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 27.25 million (Q2 2026), 27.59 million (Q1 2026) and 28.07 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 711.10 Mn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 1.14 Bn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 277.00 Mn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 1.28 Bn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 457.00 Mn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 114.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 335.00 Mn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 349.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 65.92 Mn |
| 10 | Wingstop | 4.53 Bn | 3.98 Bn | 157.92 Mn | 27.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 27.14 Mn |
| Jun 27, 2026 | 27.25 Mn |
| Mar 28, 2026 | 27.59 Mn |
| Dec 27, 2025 | 28.07 Mn |
| Sep 27, 2025 | 27.99 Mn |
| Jun 28, 2025 | 28.00 Mn |
| Mar 29, 2025 | 28.51 Mn |
| Dec 28, 2024 | 29.38 Mn |
| Sep 28, 2024 | 29.38 Mn |
| Jun 29, 2024 | 29.46 Mn |
| Mar 30, 2024 | 29.48 Mn |
| Dec 30, 2023 | 29.86 Mn |
| Sep 30, 2023 | 29.82 Mn |
| Jul 1, 2023 | 30.05 Mn |
| Apr 1, 2023 | 30.03 Mn |
| Dec 31, 2022 | 29.96 Mn |
| Sep 24, 2022 | 29.97 Mn |
| Jun 25, 2022 | 29.91 Mn |
| Mar 26, 2022 | 29.97 Mn |
| Dec 25, 2021 | 29.94 Mn |
Wingstop 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=WING&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "WING", "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=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();