Dine Brands Global (DIN) Market Capitalization (2009 - 2026)
Dine Brands Global's Market Capitalization was $467.06 million in Q2 2026, up 23.6% from $377.87 million a year earlier and up 43.0% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Market Capitalization (2009 - 2026) Analysis & Trends
For FY2025, Market Capitalization at Dine Brands Global came in at $442.37 million, down 5.5% from FY2024.
- Market Capitalization has now declined for four consecutive years, with a five-year compound annual growth rate of -14.3% (FY2020 to FY2025).
- In earlier years, Market Capitalization was $468.28 million in FY2024 (-38.5%), $761.87 million in FY2023 (-24.4%), $1.01 billion in FY2022 (-22.6%) and $1.3 billion in FY2021 (+36.4%).
- The Q2 2026 figure marks the highest quarterly Market Capitalization since Q4 2024.
- Compared with a year earlier, Market Capitalization was higher in 1 of the last eight quarters, with an average decline of 21.9%.
- The best year-over-year quarter for Market Capitalization over five years was Q3 2021 (growth of 56.0%); the worst was Q1 2025 (a decline of 48.9%).
- Per Business Quant data, DIN's Market Capitalization in the three quarters before Q2 2026 was $326.66 million (Q1 2026), $442.37 million (Q4 2025) and $356.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 176.83 Bn | 171.65 Bn | 6.42 Bn |
| 2 | Starbucks | 117.41 Bn | 105.04 Bn | - |
| 3 | Yum Brands | 41.09 Bn | 37.98 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 35.70 Bn | 31.68 Bn | - |
| 5 | Restaurant Brands International | 25.75 Bn | 21.31 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.26 Bn | 23.36 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.80 Bn | 9.46 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.95 Bn | 10.29 Bn | - |
| 10 | Dine Brands Global | 382.56 Mn | -115.34 Mn | 91.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 467.06 Mn |
| Mar 29, 2026 | 326.66 Mn |
| Dec 28, 2025 | 442.37 Mn |
| Sep 30, 2025 | 356.27 Mn |
| Jun 29, 2025 | 377.87 Mn |
| Mar 30, 2025 | 367.27 Mn |
| Dec 29, 2024 | 468.28 Mn |
| Sep 30, 2024 | 476.99 Mn |
| Jun 30, 2024 | 553.83 Mn |
| Mar 31, 2024 | 718.26 Mn |
| Dec 31, 2023 | 761.87 Mn |
| Sep 30, 2023 | 765.71 Mn |
| Jun 30, 2023 | 904.57 Mn |
| Mar 31, 2023 | 1.06 Bn |
| Dec 31, 2022 | 1.01 Bn |
| Sep 30, 2022 | 996.75 Mn |
| Jun 30, 2022 | 1.03 Bn |
| Mar 31, 2022 | 1.31 Bn |
| Dec 31, 2021 | 1.30 Bn |
| Sep 30, 2021 | 1.40 Bn |
API Access
Dine Brands Global Market Capitalization 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=market-capitalization&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();