Dine Brands Global (DIN) EPS (Diluted) (2010 - 2026)
Dine Brands Global's EPS (Diluted) was $0.35 in Q2 2026, down 60.8% from $0.89 a year earlier and down 39.3% from the prior quarter.
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Analysis
Dine Brands Global (DIN) EPS (Diluted) (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dine Brands Global's EPS (Diluted) was $0.52 through Jun 28, 2026, down 82.6% year-over-year; for FY2025, it came in at $1.12, down 73.5% from FY2024.
- In earlier years, EPS (Diluted) was $4.23 in FY2024 (-32.3%), $6.24 in FY2023 (+25.8%), $4.96 in FY2022 (-12.3%) and $5.66 in FY2021.
- Quarterly EPS (Diluted) has moved between -$0.85 (Q4 2025) and $2.13 (Q4 2023) over five years.
- Compared with a year earlier, EPS (Diluted) was higher in two of the last seven quarters, with an average decline of 41.0%.
- The best year-over-year quarter for EPS (Diluted) over five years was Q4 2023 (growth of 206.5%); the worst was Q4 2024 (a decline of 84.1%).
- Per Business Quant data, DIN's EPS (Diluted) in the three quarters before Q2 2026 was $0.57 (Q1 2026), -$0.85 (Q4 2025) and $0.48 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 182.39 Bn | 177.22 Bn | 6.42 Bn | 3.32 |
| 2 | Starbucks | 118.26 Bn | 118.26 Bn | - | 0.59 |
| 3 | Yum Brands | 42.67 Bn | 39.56 Bn | 1.47 Bn | 3.08 |
| 4 | Chipotle Mexican Grill | 40.66 Bn | 40.66 Bn | - | 0.27 |
| 5 | Restaurant Brands International | 25.31 Bn | 21.10 Bn | 1.40 Bn | 1.19 |
| 6 | Darden Restaurants | 24.87 Bn | 23.97 Bn | 1.68 Bn | 2.04 |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 2.10 |
| 8 | Yum China Holdings | 15.90 Bn | 9.56 Bn | 537.00 Mn | 0.70 |
| 9 | Texas Roadhouse | 11.96 Bn | 11.30 Bn | - | 1.85 |
| 10 | Dine Brands Global | 422.82 Mn | -75.08 Mn | 91.20 Mn | 0.35 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 0.35 |
| Mar 29, 2026 | 0.57 |
| Dec 28, 2025 | -0.85 |
| Sep 30, 2025 | 0.48 |
| Jun 29, 2025 | 0.89 |
| Mar 30, 2025 | 0.52 |
| Dec 29, 2024 | 0.34 |
| Sep 30, 2024 | 1.24 |
| Jun 30, 2024 | 1.50 |
| Mar 31, 2024 | 1.13 |
| Dec 31, 2023 | 2.13 |
| Sep 30, 2023 | 1.19 |
| Jun 30, 2023 | 1.16 |
| Mar 31, 2023 | 1.74 |
| Dec 31, 2022 | 0.69 |
| Sep 30, 2022 | 1.32 |
| Jun 30, 2022 | 1.45 |
| Mar 31, 2022 | 1.45 |
| Dec 31, 2021 | 1.15 |
| Sep 30, 2021 | 1.33 |
API Access
Dine Brands Global EPS (Diluted) 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=eps-diluted&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();