Dine Brands Global (DIN) EBT (2010 - 2026)
Dine Brands Global's EBT came in at $6 million for Q2 2026, down 68.3% from $18.9 million a year earlier and down 40.6% from the prior quarter.
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Analysis
Dine Brands Global (DIN) EBT (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Dine Brands Global reported EBT of $9.57 million, down 85.5% year-over-year; for FY2025, it came in at $25.2 million, down 71.8% from FY2024.
- EBT has declined in each of the last four years.
- Going back by year, EBT was $89.5 million in FY2024 (-19.9%), $111.7 million in FY2023 (-2.7%), $114.79 million in FY2022 (-5.9%) and $121.92 million in FY2021.
- The five-year range for quarterly EBT is -$16.59 million (Q4 2025) to $36.2 million (Q1 2023).
- Year-over-year, EBT increased in 1 of the last seven quarters, with an average decline of 43.1%.
- The fastest year-over-year change in EBT over five years came in Q3 2021 (growth of 234.8%), and the weakest in Q4 2024 (a decline of 70.2%).
- Business Quant data shows DIN's EBT at $10.1 million (Q1 2026), -$16.59 million (Q4 2025) and $10.06 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 2.94 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.42 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 533.27 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 533.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 592.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 465.60 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 592.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 354.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 143.99 Mn |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | 6.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 6.00 Mn |
| Mar 29, 2026 | 10.10 Mn |
| Dec 28, 2025 | -16.59 Mn |
| Sep 30, 2025 | 10.06 Mn |
| Jun 29, 2025 | 18.90 Mn |
| Mar 30, 2025 | 12.80 Mn |
| Dec 29, 2024 | 7.77 Mn |
| Sep 30, 2024 | 26.46 Mn |
| Jun 30, 2024 | 31.22 Mn |
| Mar 31, 2024 | 24.05 Mn |
| Dec 31, 2023 | 26.10 Mn |
| Sep 30, 2023 | 24.95 Mn |
| Jun 30, 2023 | 24.44 Mn |
| Mar 31, 2023 | 36.20 Mn |
| Dec 31, 2022 | 19.36 Mn |
| Sep 30, 2022 | 28.74 Mn |
| Jun 30, 2022 | 32.53 Mn |
| Mar 31, 2022 | 34.20 Mn |
| Dec 31, 2021 | 28.48 Mn |
| Sep 30, 2021 | 30.80 Mn |
API Access
Dine Brands Global EBT 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=ebt&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();