Dine Brands Global (DIN) Operating Income (2010 - 2026)
Dine Brands Global (DIN) posted Operating Income of $11.7 million for 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) Operating Income (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Operating Income at Dine Brands Global was $24.72 million, down 58.8% year-over-year; for FY2025, it came in at $31.3 million, down 61.9% from FY2024.
- Annual Operating Income shows a five-year compound annual growth rate of 16.8% (FY2020 to FY2025).
- In prior years, Dine Brands Global's Operating Income was $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 Operating Income has run from a low of -$12.44 million in Q4 2025 to a high of $30.42 million in Q1 2023 over five years.
- On a year-over-year basis, Operating Income increased in two of the last seven quarters, with an average decline of 35.8%.
- The strongest year-over-year quarter for Operating Income in the past five years was Q4 2021, with growth of 739.8%; the weakest was Q4 2024, with a decline of 87.0%.
- According to Business Quant data, Operating Income for the three prior quarters was $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) | Op. Inc (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 Operating Income 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=operating-income&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();