Dine Brands Global (DIN) Shares Outstanding (Entity) (2009 - 2026)
Dine Brands Global's Shares Outstanding (Entity) was 12.67 million in Q2 2026, down 17.6% from 15.38 million a year earlier and down 2.3% from the prior quarter.
Dine Brands Global (DIN) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Entity) at Dine Brands Global came in at 12.97 million, down 15.1% from FY2024.
- Shares Outstanding (Entity) has now declined for four consecutive years, with a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Entity) was 15.27 million in FY2024 (-0.5%), 15.34 million in FY2023 (-1.6%), 15.6 million in FY2022 (-9.1%) and 17.16 million in FY2021 (+4.3%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding (Entity) in data going back to Q4 2009.
- Compared with a year earlier, Shares Outstanding (Entity) has declined for four straight quarters, with an average decline of 6.9% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Entity) over five years was Q3 2021 (growth of 4.9%); the worst was Q2 2026 (a decline of 17.6%).
- Per Business Quant data, DIN's Shares Outstanding (Entity) in the three quarters before Q2 2026 was 12.97 million (Q1 2026), 12.97 million (Q4 2025) and 14.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 707.64 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.14 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 1.27 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 272.90 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 349.21 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 114.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 229.85 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 345.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 65.59 Mn |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | 12.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 12.67 Mn |
| Mar 29, 2026 | 12.97 Mn |
| Dec 28, 2025 | 12.97 Mn |
| Sep 30, 2025 | 14.41 Mn |
| Jun 29, 2025 | 15.38 Mn |
| Mar 30, 2025 | 15.64 Mn |
| Dec 29, 2024 | 15.27 Mn |
| Sep 30, 2024 | 15.27 Mn |
| Jun 30, 2024 | 15.30 Mn |
| Mar 31, 2024 | 15.45 Mn |
| Dec 31, 2023 | 15.34 Mn |
| Sep 30, 2023 | 15.48 Mn |
| Jun 30, 2023 | 15.59 Mn |
| Mar 31, 2023 | 15.67 Mn |
| Dec 31, 2022 | 15.60 Mn |
| Sep 30, 2022 | 15.68 Mn |
| Jun 30, 2022 | 15.82 Mn |
| Mar 31, 2022 | 16.75 Mn |
| Dec 31, 2021 | 17.16 Mn |
| Sep 30, 2021 | 17.22 Mn |
Dine Brands Global Shares Outstanding (Entity) 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-entity&ticker=DIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "DIN", "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-entity&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();