Good Times Restaurants (GTIM) Net Debt Issuances and Repayments (2010 - 2026)
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Analysis
Good Times Restaurants (GTIM) Net Debt Issuances and Repayments (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 175.87 Bn | 170.69 Bn | 6.42 Bn | -88.00 Mn |
| 2 | Starbucks | 114.77 Bn | 102.39 Bn | - | -1.82 Bn |
| 3 | Yum Brands | 41.20 Bn | 38.08 Bn | 1.47 Bn | 319.00 Mn |
| 4 | Chipotle Mexican Grill | 35.06 Bn | 31.04 Bn | - | - |
| 5 | Restaurant Brands International | 26.21 Bn | 21.76 Bn | 1.38 Bn | -29.00 Mn |
| 6 | Darden Restaurants | 24.12 Bn | 23.22 Bn | 1.68 Bn | 280.60 Mn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn | -29.00 Mn |
| 8 | Yum China Holdings | 15.48 Bn | 9.13 Bn | 537.00 Mn | 45.00 Mn |
| 9 | Texas Roadhouse | 10.86 Bn | 10.20 Bn | - | - |
| 10 | Good Times Restaurants | 13.62 Mn | 1.35 Mn | - | -759,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -759,000.00 |
| Mar 31, 2026 | -757,000.00 |
| Dec 30, 2025 | -508,000.00 |
| Sep 30, 2025 | -6,000.00 |
| Jul 1, 2025 | -257,000.00 |
| Apr 1, 2025 | -7,000.00 |
| Dec 31, 2024 | 1.74 Mn |
| Sep 24, 2024 | -258,000.00 |
| Jun 25, 2024 | -120,000.00 |
| Mar 26, 2024 | 500,000.00 |
| Dec 26, 2023 | 1.00 Mn |
| Jun 29, 2021 | -3.50 Mn |
| Mar 30, 2021 | -500,000.00 |
| Dec 29, 2020 | -1.50 Mn |
| Dec 31, 2013 | -10,000.00 |
| Sep 30, 2013 | -11,000.00 |
| Jun 30, 2013 | -11,000.00 |
| Mar 31, 2013 | -551,000.00 |
| Dec 31, 2012 | -1.02 Mn |
| Sep 30, 2012 | -363,000.00 |
API Access
Good Times Restaurants Net Debt Issuances and 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=net-debt-issuances-and-repayments&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-repayments", "ticker": "GTIM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-debt-issuances-and-repayments&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();