Dine Brands Global (DIN) Short-Term Debt issuances (2012 - 2026)
Dine Brands Global's Short-Term Debt issuances came in at $20 million for Q2 2026, up 100.0% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Short-Term Debt issuances (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Dine Brands Global reported Short-Term Debt issuances of $30 million, up 100.0% year-over-year; for FY2022, it came in at $100 million.
- Short-Term Debt issuances carries a four-year compound annual growth rate of 7.5% (FY2018 to FY2022).
- Going back by year, Short-Term Debt issuances was $220 million in FY2020 and $75 million in FY2018.
- The Q2 2026 figure represents the highest quarterly Short-Term Debt issuances since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | - |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | - |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | - |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | - |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | - |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 45.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | - |
| 10 | Dine Brands Global | 461.74 Mn | -36.16 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 |
| Sep 30, 2022 | 100.00 Mn |
| Dec 31, 2018 | 25.00 Mn |
| Sep 30, 2018 | 30.00 Mn |
| Sep 30, 2012 | 15.00 Mn |
API Access
Dine Brands Global Short-Term Debt issuances 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-issuances&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-issuances", "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-issuances&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();