Dine Brands Global (DIN) Non Operating Interest Expenses (2010 - 2024)
Dine Brands Global's Non Operating Interest Expenses was $19.4 million in Q3 2024, down 3.0% from $20 million a year earlier but up 3.2% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Non Operating Interest Expenses (2010 - 2024) Analysis & Trends
On a trailing twelve-month basis, Dine Brands Global's Non Operating Interest Expenses was $77 million through Sep 30, 2024, up 9.5% year-over-year; for FY2023, it came in at $74 million, up 9.5% from FY2022.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 3.7% (FY2018 to FY2023).
- In earlier years, Non Operating Interest Expenses was $67.6 million in FY2022 (-5.5%), $71.5 million in FY2021 (-5.8%), $75.9 million in FY2020 (+8.1%) and $70.2 million in FY2019 (+13.8%).
- Quarterly Non Operating Interest Expenses has moved between $15.7 million (Q1 2023) and $20.4 million (Q4 2020) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in four of the last eight quarters, with growth averaging 6.4%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2019 (growth of 101.5%); the worst was Q4 2021 (a decline of 15.2%).
- Per Business Quant data, DIN's Non Operating Interest Expenses in the three quarters before Q3 2024 was $18.8 million (Q2 2024), $19.2 million (Q1 2024) and $19.6 million (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 19.40 Mn |
| Jun 30, 2024 | 18.80 Mn |
| Mar 31, 2024 | 19.20 Mn |
| Dec 31, 2023 | 19.60 Mn |
| Sep 30, 2023 | 20.00 Mn |
| Jun 30, 2023 | 18.80 Mn |
| Mar 31, 2023 | 15.70 Mn |
| Dec 31, 2022 | 15.80 Mn |
| Sep 30, 2022 | 17.10 Mn |
| Jun 30, 2022 | 17.20 Mn |
| Mar 31, 2022 | 17.40 Mn |
| Dec 31, 2021 | 17.30 Mn |
| Sep 30, 2021 | 17.70 Mn |
| Jun 30, 2021 | 17.80 Mn |
| Mar 31, 2021 | 18.70 Mn |
| Dec 31, 2020 | 20.40 Mn |
| Sep 30, 2020 | 19.10 Mn |
| Jun 30, 2020 | 19.10 Mn |
| Mar 31, 2020 | 17.30 Mn |
| Dec 31, 2019 | 17.30 Mn |
API Access
Dine Brands Global Non Operating 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=non-operating-interest-expenses&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();