Dine Brands Global (DIN) Retained Earnings (2010 - 2026)
Dine Brands Global (DIN) recorded Retained Earnings of $181.9 million in Q2 2026, up 1.1% from the prior quarter.
Analysis
Dine Brands Global (DIN) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Dine Brands Global reported Retained Earnings of $175.1 million, down 4.6% from FY2024.
- Across earlier years, Retained Earnings came in at $183.6 million in FY2024 (+22.4%), $150.01 million in FY2023 (+77.4%), $84.54 million in FY2022 (+138.7%) and $35.42 million in FY2021.
- Quarterly Retained Earnings has ranged from $22.52 million in Q3 2021 to $189.85 million in Q3 2025 over the past five years.
- On a year-over-year basis, Retained Earnings rose in three of the last four quarters, with growth averaging 17.2%.
- Peak year-over-year performance for Retained Earnings in the last five years was growth of 260.4% in Q3 2022, against a decline of 4.6% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $180 million (Q1 2026), $175.1 million (Q4 2025) and $189.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 71.99 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | -8.54 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | -67.16 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | -6.81 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 2.18 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | -108.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 1.70 Bn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 1.56 Bn |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | 181.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 181.90 Mn |
| Mar 29, 2026 | 180.00 Mn |
| Dec 28, 2025 | 175.10 Mn |
| Sep 30, 2025 | 189.85 Mn |
| Dec 29, 2024 | 183.60 Mn |
| Sep 30, 2024 | 186.24 Mn |
| Jun 30, 2024 | 174.97 Mn |
| Mar 31, 2024 | 159.60 Mn |
| Dec 31, 2023 | 150.01 Mn |
| Sep 30, 2023 | 124.81 Mn |
| Jun 30, 2023 | 114.23 Mn |
| Mar 31, 2023 | 103.93 Mn |
| Dec 31, 2022 | 84.54 Mn |
| Sep 30, 2022 | 81.18 Mn |
| Jun 30, 2022 | 68.27 Mn |
| Mar 31, 2022 | 52.52 Mn |
| Dec 31, 2021 | 35.42 Mn |
| Sep 30, 2021 | 22.52 Mn |
| Jun 30, 2021 | -588,000.00 |
| Mar 31, 2021 | -29.95 Mn |
API Access
Dine Brands Global Retained Earnings 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=retained-earnings&ticker=DIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();