Dine Brands Global (DIN) Price to Earnings (2011 - 2026)
Dine Brands Global's Price to Earnings was 74.17 in Q2 2026, up 774.5% from 8.48 a year earlier and up 247.3% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Dine Brands Global came in at 27.65, up 272.0% from FY2024.
- In earlier years, Price to Earnings was 7.43 in FY2024 (-7.4%), 8.03 in FY2023 (-37.1%), 12.77 in FY2022 (-6.2%) and 13.62 in FY2021.
- The Q2 2026 figure marks the highest quarterly Price to Earnings in data going back to Q4 2011.
- Compared with a year earlier, Price to Earnings has increased for five straight quarters, with growth averaging 166.0% over the last eight quarters.
- The best year-over-year quarter for Price to Earnings over five years was Q2 2026 (growth of 774.5%); the worst was Q2 2022 (a decline of 53.6%).
- Per Business Quant data, DIN's Price to Earnings in the three quarters before Q2 2026 was 21.35 (Q1 2026), 27.83 (Q4 2025) and 10.79 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - |
| 10 | Dine Brands Global | 379.50 Mn | -118.40 Mn | 91.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 74.17 |
| Mar 29, 2026 | 21.35 |
| Dec 28, 2025 | 27.83 |
| Sep 30, 2025 | 10.79 |
| Jun 29, 2025 | 8.48 |
| Mar 30, 2025 | 6.82 |
| Dec 29, 2024 | 7.43 |
| Sep 30, 2024 | 5.28 |
| Jun 30, 2024 | 6.17 |
| Mar 31, 2024 | 8.44 |
| Dec 31, 2023 | 8.03 |
| Sep 30, 2023 | 10.40 |
| Jun 30, 2023 | 11.91 |
| Mar 31, 2023 | 13.02 |
| Dec 31, 2022 | 12.77 |
| Sep 30, 2022 | 11.41 |
| Jun 30, 2022 | 11.50 |
| Mar 31, 2022 | 13.74 |
| Dec 31, 2021 | 13.59 |
| Sep 30, 2021 | 18.69 |
API Access
Dine Brands Global Price to Earnings 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=price-to-earnings&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();