Dine Brands Global (DIN) Accumulated Expenses (2019 - 2026)
Dine Brands Global (DIN) reported Accumulated Expenses of $158.1 million for Q2 2026, up 1.1% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Dine Brands Global posted Accumulated Expenses of $182.7 million, up 2.9% from FY2024.
- Accumulated Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $177.6 million in FY2024 (+1.1%), $175.64 million in FY2023 (+2.1%), $171.97 million in FY2022 (+3.9%) and $165.53 million in FY2021 (+14.8%).
- Five-year quarterly Accumulated Expenses spans a low of $115.88 million in Q3 2021 and a high of $182.7 million in Q4 2025.
- Across the past five years, year-over-year growth in Accumulated Expenses ran from 1.1% in Q4 2024 to 14.8% in Q4 2021.
- Per Business Quant data, the three quarters before Q2 2026 came in at $156.4 million (Q1 2026), $182.7 million (Q4 2025) and $143.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 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 |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 158.10 Mn |
| Mar 29, 2026 | 156.40 Mn |
| Dec 28, 2025 | 182.70 Mn |
| Sep 30, 2025 | 143.16 Mn |
| Dec 29, 2024 | 177.60 Mn |
| Sep 30, 2024 | 137.02 Mn |
| Jun 30, 2024 | 142.21 Mn |
| Mar 31, 2024 | 146.71 Mn |
| Dec 31, 2023 | 175.64 Mn |
| Sep 30, 2023 | 131.49 Mn |
| Jun 30, 2023 | 137.53 Mn |
| Mar 31, 2023 | 140.77 Mn |
| Dec 31, 2022 | 171.97 Mn |
| Sep 30, 2022 | 126.16 Mn |
| Jun 30, 2022 | 133.87 Mn |
| Mar 31, 2022 | 137.12 Mn |
| Dec 31, 2021 | 165.53 Mn |
| Sep 30, 2021 | 115.88 Mn |
| Jun 30, 2021 | 120.84 Mn |
| Mar 31, 2021 | 121.81 Mn |
API Access
Dine Brands Global 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=accumulated-expenses&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();