Dine Brands Global (DIN) EBIT (2010 - 2026)
Dine Brands Global (DIN) recorded EBIT of $11.7 million in Q2 2026, down 38.1% from $18.9 million a year earlier and down 8.6% from the prior quarter.
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Analysis
Dine Brands Global (DIN) EBIT (2010 - 2026) Analysis & Trends
On a TTM basis, Dine Brands Global's EBIT came in at $24.72 million as of Jun 28, 2026, down 58.8% year-over-year; for FY2025, it was $31.3 million, down 61.9% from FY2024.
- Annual EBIT has a five-year compound annual growth rate of 16.8% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $82.2 million in FY2024 (-23.3%), $107.2 million in FY2023 (+12.2%), $95.56 million in FY2022 (-13.2%) and $110.14 million in FY2021 (+663.6%).
- Quarterly EBIT has ranged from -$12.44 million in Q4 2025 to $30.42 million in Q1 2023 over the past five years.
- On a year-over-year basis, EBIT rose in two of the last seven quarters, with an average decline of 35.8%.
- Peak year-over-year performance for EBIT in the last five years was growth of 739.8% in Q4 2021, against a decline of 87.0% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.8 million (Q1 2026), -$12.44 million (Q4 2025) and $12.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 3.34 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 980.40 Mn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 525.60 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 655.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 716.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 516.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 716.00 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 | - | 142.79 Mn |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | 11.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 11.70 Mn |
| Mar 29, 2026 | 12.80 Mn |
| Dec 28, 2025 | -12.44 Mn |
| Sep 30, 2025 | 12.66 Mn |
| Jun 29, 2025 | 18.90 Mn |
| Mar 30, 2025 | 11.90 Mn |
| Dec 29, 2024 | 3.28 Mn |
| Sep 30, 2024 | 25.92 Mn |
| Jun 30, 2024 | 30.32 Mn |
| Mar 31, 2024 | 22.65 Mn |
| Dec 31, 2023 | 25.20 Mn |
| Sep 30, 2023 | 25.15 Mn |
| Jun 30, 2023 | 26.39 Mn |
| Mar 31, 2023 | 30.42 Mn |
| Dec 31, 2022 | 13.80 Mn |
| Sep 30, 2022 | 24.35 Mn |
| Jun 30, 2022 | 28.48 Mn |
| Mar 31, 2022 | 29.08 Mn |
| Dec 31, 2021 | 25.32 Mn |
| Sep 30, 2021 | 25.99 Mn |
API Access
Dine Brands Global EBIT 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=ebit&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();