Dine Brands Global (DIN) Capital Leases (2010 - 2026)
Dine Brands Global's Capital Leases was $29.4 million in Q2 2026, down 3.9% from the prior quarter.
Analysis
Dine Brands Global (DIN) Capital Leases (2010 - 2026) Analysis & Trends
At the end of FY2025, Capital Leases at Dine Brands Global came in at $32.2 million, down 6.1% from FY2024.
- Capital Leases shows a five-year compound annual growth rate of -14.1% (FY2020 to FY2025).
- In earlier years, Capital Leases was $34.3 million in FY2024 (-0.3%), $34.39 million in FY2023 (+13.2%), $30.38 million in FY2022 (-49.1%) and $59.63 million in FY2021 (-13.6%).
- The Q2 2026 figure marks the lowest quarterly Capital Leases in data going back to Q4 2010.
- Compared with a year earlier, Capital Leases was higher in 1 of the last four quarters, with an average decline of 0.4%.
- The best year-over-year quarter for Capital Leases over five years was Q2 2024 (growth of 16.8%); the worst was Q2 2023 (a decline of 50.1%).
- Per Business Quant data, DIN's Capital Leases in the three quarters before Q2 2026 was $30.6 million (Q1 2026), $32.2 million (Q4 2025) and $34.02 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 | 29.40 Mn |
| Mar 29, 2026 | 30.60 Mn |
| Dec 28, 2025 | 32.20 Mn |
| Sep 30, 2025 | 34.02 Mn |
| Dec 29, 2024 | 34.30 Mn |
| Sep 30, 2024 | 35.72 Mn |
| Jun 30, 2024 | 37.09 Mn |
| Mar 31, 2024 | 36.49 Mn |
| Dec 31, 2023 | 34.39 Mn |
| Sep 30, 2023 | 32.65 Mn |
| Jun 30, 2023 | 31.76 Mn |
| Mar 31, 2023 | 33.26 Mn |
| Dec 31, 2022 | 30.38 Mn |
| Sep 30, 2022 | 31.44 Mn |
| Jun 30, 2022 | 63.60 Mn |
| Mar 31, 2022 | 61.22 Mn |
| Dec 31, 2021 | 59.63 Mn |
| Sep 30, 2021 | 61.50 Mn |
| Jun 30, 2021 | 64.10 Mn |
| Mar 31, 2021 | 66.23 Mn |
API Access
Dine Brands Global Capital Leases 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=capital-leases&ticker=DIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-leases", "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=capital-leases&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();