Dine Brands Global (DIN) EBITDA Margin (2010 - 2026)
Dine Brands Global's EBITDA Margin was 9.80% in Q2 2026, down 2.90 percentage points from 12.69% a year earlier and down 1.17 percentage points from the prior quarter.
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Analysis
Dine Brands Global (DIN) EBITDA Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dine Brands Global's EBITDA Margin was 7.85% through Jun 28, 2026, down 4.05 percentage points year-over-year; for FY2025, it was 8.44%, down 6.51 percentage points from FY2024.
- EBITDA Margin shows a five-year change of +0.13 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 14.95% in FY2024 (-2.24 pp), 17.18% in FY2023 (+2.50 pp), 14.68% in FY2022 (-2.06 pp) and 16.74% in FY2021 (+8.44 pp).
- Quarterly EBITDA Margin has moved between -0.42% (Q4 2025) and 19.40% (Q2 2024) over five years.
- Compared with a year earlier, EBITDA Margin was higher in two of the last eight quarters, with an average year-over-year change of -4.68 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was Q4 2021 (a gain of 8.32 percentage points); the worst was Q4 2024 (a drop of 10.20 percentage points).
- Per Business Quant data, DIN's EBITDA Margin in the three quarters before Q2 2026 was 10.97% (Q1 2026), -0.42% (Q4 2025) and 10.75% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 176.83 Bn | 171.65 Bn | 6.42 Bn | 54.98% |
| 2 | Starbucks | 117.41 Bn | 105.04 Bn | - | 14.70% |
| 3 | Yum Brands | 41.09 Bn | 37.98 Bn | 1.47 Bn | 32.96% |
| 4 | Chipotle Mexican Grill | 35.70 Bn | 31.68 Bn | - | 18.63% |
| 5 | Restaurant Brands International | 25.75 Bn | 21.31 Bn | 1.38 Bn | 31.71% |
| 6 | Darden Restaurants | 24.26 Bn | 23.36 Bn | 1.68 Bn | 14.48% |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn | 31.71% |
| 8 | Yum China Holdings | 15.80 Bn | 9.46 Bn | 537.00 Mn | 14.91% |
| 9 | Texas Roadhouse | 10.95 Bn | 10.29 Bn | - | 11.97% |
| 10 | Dine Brands Global | 382.56 Mn | -115.34 Mn | 91.20 Mn | 10.17% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 10.17% |
| Mar 29, 2026 | 11.41% |
| Dec 28, 2025 | -0.01% |
| Sep 30, 2025 | 11.17% |
| Jun 29, 2025 | 13.08% |
| Mar 30, 2025 | 10.80% |
| Dec 29, 2024 | 6.97% |
| Sep 30, 2024 | 18.64% |
| Jun 30, 2024 | 19.80% |
| Mar 31, 2024 | 16.09% |
| Dec 31, 2023 | 17.14% |
| Sep 30, 2023 | 17.04% |
| Jun 30, 2023 | 17.06% |
| Mar 31, 2023 | 19.09% |
| Dec 31, 2022 | 11.48% |
| Sep 30, 2022 | 14.59% |
| Jun 30, 2022 | 16.48% |
| Mar 31, 2022 | 17.24% |
| Dec 31, 2021 | 15.64% |
| Sep 30, 2021 | 16.03% |
API Access
Dine Brands Global EBITDA Margin 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=ebitda-margin&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();