Dine Brands Global (DIN) Interest Expenses (2010 - 2025)
Dine Brands Global (DIN) posted Interest Expenses of $62,000 for Q3 2025, down 99.7% from $19.48 million a year earlier.
Dine Brands Global (DIN) Interest Expenses (2010 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Interest Expenses at Dine Brands Global was $57.7 million, down 25.4% year-over-year; for FY2023, it was $74.37 million, up 9.3% from FY2022.
- Annual Interest Expenses shows a five-year compound annual growth rate of 3.6% (FY2018 to FY2023).
- In prior years, Dine Brands Global's Interest Expenses was $68.02 million in FY2022 (-5.5%), $71.96 million in FY2021 (-5.8%), $76.43 million in FY2020 (+8.0%) and $70.78 million in FY2019 (+13.6%).
- The Q3 2025 figure stands as the lowest quarterly Interest Expenses in data going back to Q2 2010.
- On a year-over-year basis, Interest Expenses increased in two of the last five quarters, with an average decline of 11.4%.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q4 2023, with growth of 23.8%; the weakest was Q3 2025, with a decline of 99.7%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 409.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 134.60 Mn |
| 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 | 124.00 Mn |
| 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
| Date | Value |
|---|---|
| Sep 30, 2025 | 62,000.00 |
| Sep 30, 2024 | 19.48 Mn |
| Jun 30, 2024 | 18.88 Mn |
| Mar 31, 2024 | 19.28 Mn |
| Dec 31, 2023 | 19.69 Mn |
| Sep 30, 2023 | 20.09 Mn |
| Jun 30, 2023 | 18.89 Mn |
| Mar 31, 2023 | 15.80 Mn |
| Dec 31, 2022 | 15.90 Mn |
| Sep 30, 2022 | 17.20 Mn |
| Jun 30, 2022 | 17.31 Mn |
| Mar 31, 2022 | 17.51 Mn |
| Dec 31, 2021 | 17.41 Mn |
| Sep 30, 2021 | 17.81 Mn |
| Jun 30, 2021 | 17.92 Mn |
| Mar 31, 2021 | 18.83 Mn |
| Dec 31, 2020 | 20.54 Mn |
| Sep 30, 2020 | 19.22 Mn |
| Jun 30, 2020 | 19.23 Mn |
| Mar 31, 2020 | 17.44 Mn |
Dine Brands Global Interest 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=interest-expenses&ticker=DIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();