Dine Brands Global (DIN) Shares Outstanding (2009 - 2026)
Dine Brands Global's Shares Outstanding came in at 12 million for Q2 2026, down 19.5% from 14.9 million a year earlier and down 2.4% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Dine Brands Global's Shares Outstanding was 14.3 million, down 4.0% from FY2024.
- Shares Outstanding has declined in each of the last four years, with a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 14.9 million in FY2024 (-2.0%), 15.2 million in FY2023 (-4.2%), 15.87 million in FY2022 (-5.5%) and 16.8 million in FY2021 (+3.5%).
- The Q2 2026 figure represents the lowest quarterly Shares Outstanding in data going back to Q4 2009.
- Year-over-year, Shares Outstanding has declined for 17 consecutive quarters, with an average decline of 6.1% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding over five years came in Q3 2021 (growth of 4.3%), and the weakest in Q2 2026 (a decline of 19.5%).
- Business Quant data shows DIN's Shares Outstanding at 12.3 million (Q1 2026), 14.3 million (Q4 2025) and 14.41 million (Q3 2025) in the three quarters before Q2 2026.
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 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | 12.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 12.00 Mn |
| Mar 29, 2026 | 12.30 Mn |
| Dec 28, 2025 | 14.30 Mn |
| Sep 30, 2025 | 14.41 Mn |
| Jun 29, 2025 | 14.90 Mn |
| Mar 30, 2025 | 14.90 Mn |
| Dec 29, 2024 | 14.90 Mn |
| Sep 30, 2024 | 14.90 Mn |
| Jun 30, 2024 | 14.94 Mn |
| Mar 31, 2024 | 14.98 Mn |
| Dec 31, 2023 | 15.20 Mn |
| Sep 30, 2023 | 15.22 Mn |
| Jun 30, 2023 | 15.31 Mn |
| Mar 31, 2023 | 15.30 Mn |
| Dec 31, 2022 | 15.87 Mn |
| Sep 30, 2022 | 15.38 Mn |
| Jun 30, 2022 | 16.05 Mn |
| Mar 31, 2022 | 16.72 Mn |
| Dec 31, 2021 | 16.80 Mn |
| Sep 30, 2021 | 16.91 Mn |
API Access
Dine Brands Global 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=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();