Dine Brands Global (DIN) Total Non-Current Liabilities (2010 - 2026)
Dine Brands Global's Total Non-Current Liabilities came in at $2.03 billion for Q2 2026, up 4.5% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Dine Brands Global's Total Non-Current Liabilities was $1.98 billion, up 0.4% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -4.0% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $1.97 billion in FY2024 (-0.4%), $1.97 billion in FY2023 (-8.7%), $2.16 billion in FY2022 (-2.8%) and $2.23 billion in FY2021 (-8.0%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q4 2022.
- Year-over-year, Total Non-Current Liabilities increased in two of the last four quarters, with growth averaging 1.0%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2025 (growth of 4.7%), and the weakest in Q3 2023 (a decline of 15.1%).
- Business Quant data shows DIN's Total Non-Current Liabilities at $1.95 billion (Q1 2026), $1.98 billion (Q4 2025) and $1.99 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 176.54 Bn | 171.36 Bn | 6.42 Bn | 60.09 Bn |
| 2 | Starbucks | 117.47 Bn | 105.10 Bn | - | - |
| 3 | Yum Brands | 40.80 Bn | 37.68 Bn | 1.47 Bn | 13.75 Bn |
| 4 | Chipotle Mexican Grill | 35.41 Bn | 31.39 Bn | - | 6.58 Bn |
| 5 | Restaurant Brands International | 25.84 Bn | 22.94 Bn | 1.38 Bn | 18.73 Bn |
| 6 | Darden Restaurants | 24.20 Bn | 23.30 Bn | 1.68 Bn | 9.21 Bn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn | 18.73 Bn |
| 8 | Yum China Holdings | 15.67 Bn | 10.03 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 10.93 Bn | 10.30 Bn | - | 1.88 Bn |
| 10 | Dine Brands Global | 405.73 Mn | -92.17 Mn | 91.20 Mn | 2.03 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.03 Bn |
| Mar 29, 2026 | 1.95 Bn |
| Dec 28, 2025 | 1.98 Bn |
| Sep 30, 2025 | 1.99 Bn |
| Dec 29, 2024 | 1.97 Bn |
| Sep 30, 2024 | 1.90 Bn |
| Jun 30, 2024 | 1.91 Bn |
| Mar 31, 2024 | 1.92 Bn |
| Dec 31, 2023 | 1.97 Bn |
| Sep 30, 2023 | 1.92 Bn |
| Jun 30, 2023 | 1.93 Bn |
| Mar 31, 2023 | 2.03 Bn |
| Dec 31, 2022 | 2.16 Bn |
| Sep 30, 2022 | 2.26 Bn |
| Jun 30, 2022 | 2.18 Bn |
| Mar 31, 2022 | 2.14 Bn |
| Dec 31, 2021 | 2.23 Bn |
| Sep 30, 2021 | 2.16 Bn |
| Jun 30, 2021 | 2.16 Bn |
| Mar 31, 2021 | 2.16 Bn |
API Access
Dine Brands Global Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();