Dine Brands Global (DIN) Other Non-Current Assets (2010 - 2026)
Dine Brands Global's Other Non-Current Assets was $59.7 million in Q2 2026, up 3.5% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Other Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Assets at Dine Brands Global came in at $57.1 million, up 26.0% from FY2024.
- Other Non-Current Assets has now increased for four consecutive years, with a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- In earlier years, Other Non-Current Assets was $45.3 million in FY2024 (+132.3%), $19.5 million in FY2023 (+8.8%), $17.92 million in FY2022 (+9.3%) and $16.4 million in FY2021 (-50.0%).
- The Q2 2026 figure marks the highest quarterly Other Non-Current Assets since Q3 2014.
- Compared with a year earlier, Other Non-Current Assets was higher in three of the last four quarters, with growth averaging 61.9%.
- The best year-over-year quarter for Other Non-Current Assets over five years was Q4 2024 (growth of 132.3%); the worst was Q3 2021 (a decline of 50.0%).
- Per Business Quant data, DIN's Other Non-Current Assets in the three quarters before Q2 2026 was $57.7 million (Q1 2026), $57.1 million (Q4 2025) and $36.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 181.10 Bn | 175.93 Bn | 6.42 Bn | 19.03 Bn |
| 2 | Starbucks | 118.87 Bn | 106.50 Bn | - | 857.20 Mn |
| 3 | Yum Brands | 41.95 Bn | 38.83 Bn | 1.47 Bn | 2.38 Bn |
| 4 | Chipotle Mexican Grill | 39.67 Bn | 39.67 Bn | - | - |
| 5 | Restaurant Brands International | 25.06 Bn | 20.62 Bn | 1.38 Bn | 1.36 Bn |
| 6 | Darden Restaurants | 24.86 Bn | 23.96 Bn | 1.68 Bn | 432.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn | 1.36 Bn |
| 8 | Yum China Holdings | 15.61 Bn | 9.27 Bn | 537.00 Mn | 374.00 Mn |
| 9 | Texas Roadhouse | 11.85 Bn | 11.19 Bn | - | 179.97 Mn |
| 10 | Dine Brands Global | 419.16 Mn | -78.74 Mn | 91.20 Mn | 82.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 82.20 Mn |
| Mar 29, 2026 | 79.70 Mn |
| Dec 28, 2025 | 79.10 Mn |
| Sep 30, 2025 | 58.93 Mn |
| Dec 29, 2024 | 64.80 Mn |
| Sep 30, 2024 | 38.37 Mn |
| Jun 30, 2024 | 37.70 Mn |
| Mar 31, 2024 | 36.23 Mn |
| Dec 31, 2023 | 36.38 Mn |
| Sep 30, 2023 | 35.91 Mn |
| Jun 30, 2023 | 36.19 Mn |
| Mar 31, 2023 | 34.07 Mn |
| Dec 31, 2022 | 34.32 Mn |
| Sep 30, 2022 | 31.22 Mn |
| Jun 30, 2022 | 26.28 Mn |
| Mar 31, 2022 | 26.65 Mn |
| Dec 31, 2021 | 26.41 Mn |
| Sep 30, 2021 | 26.85 Mn |
| Jun 30, 2021 | 27.30 Mn |
| Mar 31, 2021 | 44.30 Mn |
API Access
Dine Brands Global Other Non-Current Assets 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-assets&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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-assets&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();