Dine Brands Global (DIN) Operating Leases (2019 - 2026)
Dine Brands Global (DIN) reported Operating Leases of $394.1 million for Q2 2026, up 21.9% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Dine Brands Global posted Operating Leases of $305.3 million, down 1.7% from FY2024.
- Operating Leases has a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- By year, Operating Leases came in at $310.5 million in FY2024 (+15.4%), $269.1 million in FY2023 (-2.2%), $275.12 million in FY2022 (-14.3%) and $320.85 million in FY2021 (-7.0%).
- The Q2 2026 figure ranks as the highest quarterly Operating Leases in data going back to Q1 2019.
- Year over year, Operating Leases gained in two of the last four quarters, with growth averaging 6.9%.
- The high point for year-over-year Operating Leases in five years was Q3 2025 (growth of 16.0%); the low point was Q2 2023 (a decline of 18.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $323.3 million (Q1 2026), $305.3 million (Q4 2025) and $314.6 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 | 394.10 Mn |
| Mar 29, 2026 | 323.30 Mn |
| Dec 28, 2025 | 305.30 Mn |
| Sep 30, 2025 | 314.60 Mn |
| Dec 29, 2024 | 310.50 Mn |
| Sep 30, 2024 | 271.28 Mn |
| Jun 30, 2024 | 271.10 Mn |
| Mar 31, 2024 | 269.91 Mn |
| Dec 31, 2023 | 269.10 Mn |
| Sep 30, 2023 | 276.82 Mn |
| Jun 30, 2023 | 275.97 Mn |
| Mar 31, 2023 | 279.77 Mn |
| Dec 31, 2022 | 275.12 Mn |
| Sep 30, 2022 | 279.62 Mn |
| Jun 30, 2022 | 338.20 Mn |
| Mar 31, 2022 | 313.63 Mn |
| Dec 31, 2021 | 320.85 Mn |
| Sep 30, 2021 | 323.90 Mn |
| Jun 30, 2021 | 325.30 Mn |
| Mar 31, 2021 | 334.40 Mn |
API Access
Dine Brands Global Operating 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=operating-leases&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-leases&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();