Dine Brands Global (DIN) Short-Term Debt repayments (2011 - 2026)
Dine Brands Global (DIN) posted Short-Term Debt repayments of $20 million for Q2 2026, up 100.0% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Short-Term Debt repayments (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Short-Term Debt repayments at Dine Brands Global was $30 million; for FY2023, it came in at $30 million.
- Annual Short-Term Debt repayments shows a five-year compound annual growth rate of -9.7% (FY2018 to FY2023).
- In prior years, Dine Brands Global's Short-Term Debt repayments was $220 million in FY2021 and $25 million in FY2019 (-50.0%).
- The Q2 2026 figure stands as the highest quarterly Short-Term Debt repayments since Q1 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 182.39 Bn | 177.22 Bn | 6.42 Bn | - |
| 2 | Starbucks | 118.26 Bn | 118.26 Bn | - | - |
| 3 | Yum Brands | 42.67 Bn | 39.56 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 40.66 Bn | 40.66 Bn | - | - |
| 5 | Restaurant Brands International | 25.31 Bn | 21.10 Bn | 1.40 Bn | - |
| 6 | Darden Restaurants | 24.87 Bn | 23.97 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | - |
| 8 | Yum China Holdings | 15.90 Bn | 9.56 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.96 Bn | 11.30 Bn | - | - |
| 10 | Dine Brands Global | 422.82 Mn | -75.08 Mn | 91.20 Mn | 20.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 20.00 Mn |
| Mar 29, 2026 | 10.00 Mn |
| Sep 30, 2023 | 15.00 Mn |
| Mar 31, 2021 | 220.00 Mn |
| Mar 31, 2019 | 25.00 Mn |
| Dec 31, 2018 | 20.00 Mn |
| Sep 30, 2018 | 30.00 Mn |
| Sep 30, 2012 | 15.00 Mn |
| Dec 31, 2011 | 15.00 Mn |
API Access
Dine Brands Global Short-Term Debt repayments 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=short-term-debt-repayments&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();