Dine Brands Global (DIN) EV to EBITDA (2011 - 2026)
Dine Brands Global's (DIN) EV to EBITDA came in at 5.23 for Q2 2026, up 39.2% from 3.76 a year earlier and up 79.5% from the prior quarter.
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Analysis
Dine Brands Global (DIN) EV to EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, EV to EBITDA at Dine Brands Global was -0.44; for FY2025, it was 4.23, up 82.6% from FY2024.
- In prior years, Dine Brands Global's EV to EBITDA was 2.32 in FY2024 (-46.2%), 4.31 in FY2023 (-22.0%), 5.53 in FY2022 (-11.7%) and 6.26 in FY2021 (-37.2%).
- The Q2 2026 figure stands as the highest quarterly EV to EBITDA since Q2 2023.
- On a year-over-year basis, EV to EBITDA increased in three of the last eight quarters, with growth averaging 2.0%.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was Q4 2025, with growth of 83.2%; the weakest was Q3 2024, with a decline of 57.7%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 2.91 (Q1 2026), 4.25 (Q4 2025) and 2.13 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 5.23 |
| Mar 29, 2026 | 2.91 |
| Dec 28, 2025 | 4.25 |
| Sep 30, 2025 | 2.13 |
| Jun 29, 2025 | 3.76 |
| Mar 30, 2025 | 3.30 |
| Dec 29, 2024 | 2.32 |
| Sep 30, 2024 | 2.16 |
| Jun 30, 2024 | 2.84 |
| Mar 31, 2024 | 4.23 |
| Dec 31, 2023 | 4.31 |
| Sep 30, 2023 | 5.09 |
| Jun 30, 2023 | 6.18 |
| Mar 31, 2023 | 6.55 |
| Dec 31, 2022 | 5.52 |
| Sep 30, 2022 | 4.39 |
| Jun 30, 2022 | 5.15 |
| Mar 31, 2022 | 6.45 |
| Dec 31, 2021 | 6.18 |
| Sep 30, 2021 | 8.38 |
API Access
Dine Brands Global EV to EBITDA 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=ev-to-ebitda&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();