Dine Brands Global (DIN) Other Non-Current Liabilities (2010 - 2026)
Dine Brands Global (DIN) posted Other Non-Current Liabilities of $31.3 million for Q2 2026, down 5.4% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Dine Brands Global's Other Non-Current Liabilities came in at $35 million, down 9.6% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- In prior years, Dine Brands Global's Other Non-Current Liabilities was $38.7 million in FY2024 (+136.7%), $16.35 million in FY2023 (-14.4%), $19.09 million in FY2022 (+12.0%) and $17.05 million in FY2021 (+47.9%).
- Quarterly Other Non-Current Liabilities has run from a low of $14.72 million in Q1 2022 to a high of $38.7 million in Q4 2024 over five years.
- On a year-over-year basis, Other Non-Current Liabilities increased in 1 of the last four quarters, with growth averaging 29.0%.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q4 2024, with growth of 136.7%; the weakest was Q3 2022, with a decline of 16.6%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $33.1 million (Q1 2026), $35 million (Q4 2025) and $15.82 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 | 31.30 Mn |
| Mar 29, 2026 | 33.10 Mn |
| Dec 28, 2025 | 35.00 Mn |
| Sep 30, 2025 | 15.82 Mn |
| Dec 29, 2024 | 38.70 Mn |
| Sep 30, 2024 | 16.22 Mn |
| Jun 30, 2024 | 15.93 Mn |
| Mar 31, 2024 | 16.89 Mn |
| Dec 31, 2023 | 16.35 Mn |
| Sep 30, 2023 | 17.76 Mn |
| Jun 30, 2023 | 17.44 Mn |
| Mar 31, 2023 | 17.41 Mn |
| Dec 31, 2022 | 19.09 Mn |
| Sep 30, 2022 | 16.26 Mn |
| Jun 30, 2022 | 15.32 Mn |
| Mar 31, 2022 | 14.72 Mn |
| Dec 31, 2021 | 17.05 Mn |
| Sep 30, 2021 | 19.50 Mn |
| Jun 30, 2021 | 17.98 Mn |
| Mar 31, 2021 | 14.59 Mn |
API Access
Dine Brands Global Other 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=other-non-current-liabilities&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();