Dine Brands Global (DIN) Income After Tax (2010 - 2026)
Dine Brands Global (DIN) recorded Income After Tax of $4.3 million in Q2 2026, down 68.8% from $13.8 million a year earlier and down 41.1% from the prior quarter.
Powered by 
Analysis
Dine Brands Global (DIN) Income After Tax (2010 - 2026) Analysis & Trends
On a TTM basis, Dine Brands Global's Income After Tax came in at $6.69 million as of Jun 28, 2026, down 85.5% year-over-year; for FY2025, it came in at $17.1 million, down 73.6% from FY2024.
- Across earlier years, Income After Tax came in at $64.8 million in FY2024 (-33.3%), $97.2 million in FY2023 (+19.9%), $81.09 million in FY2022 (-17.1%) and $97.82 million in FY2021.
- Quarterly Income After Tax has ranged from -$12.24 million in Q4 2025 to $33.02 million in Q4 2023 over the past five years.
- On a year-over-year basis, Income After Tax rose in 1 of the last seven quarters, with an average decline of 45.2%.
- Peak year-over-year performance for Income After Tax in the last five years was growth of 191.5% in Q4 2023, against a decline of 84.6% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.3 million (Q1 2026), -$12.24 million (Q4 2025) and $7.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 196.29 Bn | 191.11 Bn | 6.42 Bn | 2.36 Bn |
| 2 | Starbucks | 120.00 Bn | 107.62 Bn | - | 1.04 Bn |
| 3 | Yum Brands | 44.81 Bn | 41.70 Bn | 1.47 Bn | 853.00 Mn |
| 4 | Chipotle Mexican Grill | 44.48 Bn | 40.98 Bn | - | 339.87 Mn |
| 5 | Restaurant Brands International | 27.32 Bn | 23.11 Bn | 1.40 Bn | 704.00 Mn |
| 6 | Darden Restaurants | 25.78 Bn | 24.88 Bn | 1.68 Bn | 234.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 704.00 Mn |
| 8 | Yum China Holdings | 17.30 Bn | 10.95 Bn | 537.00 Mn | 262.00 Mn |
| 9 | Texas Roadhouse | 12.14 Bn | 11.48 Bn | - | 124.51 Mn |
| 10 | Dine Brands Global | 432.80 Mn | 11.80 Mn | 84.70 Mn | 4.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 4.60 Mn |
| Jun 28, 2026 | 4.30 Mn |
| Mar 29, 2026 | 7.30 Mn |
| Dec 28, 2025 | -12.24 Mn |
| Sep 30, 2025 | 7.33 Mn |
| Jun 29, 2025 | 13.80 Mn |
| Mar 30, 2025 | 8.20 Mn |
| Dec 29, 2024 | 5.08 Mn |
| Sep 30, 2024 | 19.06 Mn |
| Jun 30, 2024 | 23.18 Mn |
| Mar 31, 2024 | 17.47 Mn |
| Dec 31, 2023 | 33.02 Mn |
| Sep 30, 2023 | 18.48 Mn |
| Jun 30, 2023 | 18.25 Mn |
| Mar 31, 2023 | 27.44 Mn |
| Dec 31, 2022 | 11.33 Mn |
| Sep 30, 2022 | 20.95 Mn |
| Jun 30, 2022 | 23.96 Mn |
| Mar 31, 2022 | 24.89 Mn |
| Dec 31, 2021 | 19.75 Mn |
API Access
Dine Brands Global Income After Tax 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=profit-after-tax&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();