Dine Brands Global (DIN) Other Accumulated Expenses (2010 - 2026)
Dine Brands Global's Other Accumulated Expenses came in at $7.3 million for Q2 2026, unchanged from the prior quarter.
Powered by 
Analysis
Dine Brands Global (DIN) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
Going back to Q4 2010, Dine Brands Global's Other Accumulated Expenses data covers 60 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -20.1% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $6.4 million in FY2024 (-82.9%), $37.39 million in FY2023 (+53.0%), $24.45 million in FY2022 (-2.3%) and $25.02 million in FY2021 (+11.4%).
- The five-year range for quarterly Other Accumulated Expenses is $6.4 million (Q4 2024) to $37.58 million (Q3 2025).
- Year-over-year, Other Accumulated Expenses increased in two of the last four quarters, with an average decline of 2.3%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q1 2023 (growth of 97.2%), and the weakest in Q4 2024 (a decline of 82.9%).
- Business Quant data shows DIN's Other Accumulated Expenses at $7.3 million (Q1 2026), $7.3 million (Q4 2025) and $37.58 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - |
| 10 | Dine Brands Global | 379.50 Mn | -118.40 Mn | 91.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 7.30 Mn |
| Mar 29, 2026 | 7.30 Mn |
| Dec 28, 2025 | 7.30 Mn |
| Sep 30, 2025 | 37.58 Mn |
| Dec 29, 2024 | 6.40 Mn |
| Sep 30, 2024 | 23.01 Mn |
| Jun 30, 2024 | 29.14 Mn |
| Mar 31, 2024 | 28.51 Mn |
| Dec 31, 2023 | 37.39 Mn |
| Sep 30, 2023 | 23.90 Mn |
| Jun 30, 2023 | 28.96 Mn |
| Mar 31, 2023 | 27.87 Mn |
| Dec 31, 2022 | 24.45 Mn |
| Sep 30, 2022 | 22.98 Mn |
| Jun 30, 2022 | 18.97 Mn |
| Mar 31, 2022 | 14.13 Mn |
| Dec 31, 2021 | 25.02 Mn |
| Sep 30, 2021 | 12.68 Mn |
| Jun 30, 2021 | 16.25 Mn |
| Mar 31, 2021 | 17.42 Mn |
API Access
Dine Brands Global Other Accumulated Expenses 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=other-accumulated-expenses&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();