Dine Brands Global (DIN) Other Accumulated Expenses (2010 - 2025)
Dine Brands Global's Other Accumulated Expenses came in at $37.58 million for Q3 2025, up 63.3% from $23.01 million a year earlier.
Analysis
Dine Brands Global (DIN) Other Accumulated Expenses (2010 - 2025) Analysis & Trends
At the end of FY2023, Dine Brands Global's Other Accumulated Expenses was $37.39 million, up 53.0% from FY2022.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 9.1% (FY2018 to FY2023).
- Going back by year, Other Accumulated Expenses was $24.45 million in FY2022 (-2.3%), $25.02 million in FY2021 (+11.4%), $22.46 million in FY2020 (+31.9%) and $17.03 million in FY2019 (-29.7%).
- The Q3 2025 figure represents the highest quarterly Other Accumulated Expenses in data going back to Q4 2010.
- Year-over-year, Other Accumulated Expenses increased in four of the last five quarters, with growth averaging 23.1%.
- 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 Q3 2021 (a decline of 43.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - |
| 10 | Dine Brands Global | 428.34 Mn | 7.34 Mn | 84.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 37.58 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 |
| Dec 31, 2020 | 22.46 Mn |
| Sep 30, 2020 | 22.40 Mn |
| Jun 30, 2020 | 23.38 Mn |
| Mar 31, 2020 | 24.97 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_KEY
import 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();