Dine Brands Global (DIN) Total Current Liabilities (2010 - 2026)
Dine Brands Global (DIN) reported Total Current Liabilities of $337 million for Q2 2026, up 5.2% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Dine Brands Global posted Total Current Liabilities of $365.6 million, down 17.9% from FY2024.
- Total Current Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $445.3 million in FY2024 (-3.3%), $460.45 million in FY2023 (-2.2%), $470.72 million in FY2022 (+14.6%) and $410.73 million in FY2021 (+17.8%).
- Five-year quarterly Total Current Liabilities spans a low of $320.3 million in Q1 2026 and a high of $519.11 million in Q3 2022.
- Year over year, Total Current Liabilities gained in 1 of the last four quarters, with an average decline of 8.2%.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2022 (growth of 50.5%); the low point was Q3 2023 (a decline of 26.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $320.3 million (Q1 2026), $365.6 million (Q4 2025) and $340.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 4.02 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 9.92 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 1.32 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 4.29 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 2.31 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 3.01 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.31 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 2.44 Bn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 790.79 Mn |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | 337.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 337.00 Mn |
| Mar 29, 2026 | 320.30 Mn |
| Dec 28, 2025 | 365.60 Mn |
| Sep 30, 2025 | 340.11 Mn |
| Dec 29, 2024 | 445.30 Mn |
| Sep 30, 2024 | 386.85 Mn |
| Jun 30, 2024 | 394.17 Mn |
| Mar 31, 2024 | 409.97 Mn |
| Dec 31, 2023 | 460.45 Mn |
| Sep 30, 2023 | 384.34 Mn |
| Jun 30, 2023 | 400.18 Mn |
| Mar 31, 2023 | 405.17 Mn |
| Dec 31, 2022 | 470.72 Mn |
| Sep 30, 2022 | 519.11 Mn |
| Jun 30, 2022 | 343.80 Mn |
| Mar 31, 2022 | 334.77 Mn |
| Dec 31, 2021 | 410.73 Mn |
| Sep 30, 2021 | 344.98 Mn |
| Jun 30, 2021 | 344.86 Mn |
| Mar 31, 2021 | 335.10 Mn |
API Access
Dine Brands Global Total 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-current-liabilities&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();