Dine Brands Global (DIN) Non-Current Assets (2010 - 2026)
Dine Brands Global (DIN) posted Non-Current Assets of $1.48 billion for Q2 2026, up 5.5% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Dine Brands Global's Non-Current Assets came in at $1.39 billion, down 1.3% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- In prior years, Dine Brands Global's Non-Current Assets was $1.4 billion in FY2024 (+1.6%), $1.38 billion in FY2023 (-1.4%), $1.4 billion in FY2022 (-1.6%) and $1.43 billion in FY2021 (-4.3%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Assets since Q4 2020.
- On a year-over-year basis, Non-Current Assets increased in two of the last four quarters, with growth averaging 0.4%.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q3 2023, with growth of 5.2%; the weakest was Q3 2021, with a decline of 7.6%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $1.41 billion (Q1 2026), $1.39 billion (Q4 2025) and $1.42 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 55.58 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 20.76 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 7.92 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 6.14 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 22.68 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 11.92 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 22.68 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 8.52 Bn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 3.31 Bn |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | 1.48 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.48 Bn |
| Mar 29, 2026 | 1.41 Bn |
| Dec 28, 2025 | 1.39 Bn |
| Sep 30, 2025 | 1.42 Bn |
| Dec 29, 2024 | 1.40 Bn |
| Sep 30, 2024 | 1.37 Bn |
| Jun 30, 2024 | 1.37 Bn |
| Mar 31, 2024 | 1.38 Bn |
| Dec 31, 2023 | 1.38 Bn |
| Sep 30, 2023 | 1.40 Bn |
| Jun 30, 2023 | 1.40 Bn |
| Mar 31, 2023 | 1.41 Bn |
| Dec 31, 2022 | 1.40 Bn |
| Sep 30, 2022 | 1.33 Bn |
| Jun 30, 2022 | 1.43 Bn |
| Mar 31, 2022 | 1.41 Bn |
| Dec 31, 2021 | 1.43 Bn |
| Sep 30, 2021 | 1.43 Bn |
| Jun 30, 2021 | 1.43 Bn |
| Mar 31, 2021 | 1.47 Bn |
API Access
Dine Brands Global 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=non-current-assets&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();