Dine Brands Global (DIN) Current Assets (2010 - 2026)
Dine Brands Global (DIN) posted Current Assets of $289.4 million for Q2 2026, up 2.0% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Dine Brands Global's Current Assets came in at $351.8 million, down 8.9% from FY2024.
- Annual Current Assets shows a five-year compound annual growth rate of -9.7% (FY2020 to FY2025).
- In prior years, Dine Brands Global's Current Assets was $386 million in FY2024 (+7.9%), $357.78 million in FY2023 (-25.4%), $479.76 million in FY2022 (-16.5%) and $574.35 million in FY2021 (-2.1%).
- Quarterly Current Assets has run from a low of $263.8 million in Q3 2023 to a high of $645.79 million in Q3 2022 over five years.
- On a year-over-year basis, Current Assets increased in three of the last four quarters, with growth averaging 8.2%.
- The strongest year-over-year quarter for Current Assets in the past five years was Q3 2022, with growth of 30.8%; the weakest was Q3 2023, with a decline of 59.2%.
- According to Business Quant data, Current Assets for the three prior quarters was $283.7 million (Q1 2026), $351.8 million (Q4 2025) and $358.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 4.35 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 7.53 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 940.74 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 2.54 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 2.34 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 942.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.34 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 2.35 Bn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 361.90 Mn |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | 289.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 289.40 Mn |
| Mar 29, 2026 | 283.70 Mn |
| Dec 28, 2025 | 351.80 Mn |
| Sep 30, 2025 | 358.51 Mn |
| Dec 29, 2024 | 386.00 Mn |
| Sep 30, 2024 | 331.43 Mn |
| Jun 30, 2024 | 319.60 Mn |
| Mar 31, 2024 | 317.20 Mn |
| Dec 31, 2023 | 357.78 Mn |
| Sep 30, 2023 | 263.80 Mn |
| Jun 30, 2023 | 269.81 Mn |
| Mar 31, 2023 | 348.37 Mn |
| Dec 31, 2022 | 479.76 Mn |
| Sep 30, 2022 | 645.79 Mn |
| Jun 30, 2022 | 449.83 Mn |
| Mar 31, 2022 | 476.86 Mn |
| Dec 31, 2021 | 574.35 Mn |
| Sep 30, 2021 | 493.64 Mn |
| Jun 30, 2021 | 461.15 Mn |
| Mar 31, 2021 | 385.71 Mn |
API Access
Dine Brands Global 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=current-assets&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();