Good Times Restaurants (GTIM) Long-Term Debt Repayments (2009 - 2026)
Good Times Restaurants (GTIM) posted Long-Term Debt Repayments of $759,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 195.3% from $257,000 a year earlier and up 0.3% from the prior quarter.
Good Times Restaurants (GTIM) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Good Times Restaurants was $2.53 million, up 145.2% year-over-year; for FY2025 (ended Sep 30, 2025), it was $780,000, down 38.0% from FY2024.
- Annual Long-Term Debt Repayments shows a four-year compound annual growth rate of -38.6% (FY2021 to FY2025).
- In prior fiscal years, Good Times Restaurants' Long-Term Debt Repayments was $1.26 million in FY2024 and $5.5 million in FY2021.
- Quarterly Long-Term Debt Repayments has run from a low of $6,000 in fiscal Q4 2025 to a high of $1.01 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in two of the last four quarters, with growth averaging 24.6%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $757,000 (Q2 2026), $1.01 million (Q1 2026) and $6,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 145.00 Mn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | - |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 13.00 Mn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 29.00 Mn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 5.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 29.00 Mn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | - |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | - |
| 10 | Good Times Restaurants | 13.30 Mn | 1.83 Mn | 147,000.00 | -759,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -759,000.00 |
| Mar 31, 2026 | -1.77 Mn |
| Dec 30, 2025 | 1.01 Mn |
| Jul 1, 2025 | -257,000.00 |
| Apr 1, 2025 | -517,000.00 |
| Dec 31, 2024 | 10,000.00 |
| Jun 25, 2024 | -500,000.00 |
| Mar 26, 2024 | -500,000.00 |
| Mar 30, 2021 | -2.00 Mn |
| Dec 29, 2020 | 1.50 Mn |
| Mar 31, 2020 | 900,000.00 |
| Dec 31, 2019 | 500,000.00 |
| Jun 25, 2019 | -1.15 Mn |
| Mar 26, 2019 | -1.33 Mn |
| Dec 25, 2018 | 4,000.00 |
| Sep 25, 2018 | -1.62 Mn |
| Jun 26, 2018 | -5,000.00 |
| Mar 27, 2018 | -1.61 Mn |
| Dec 26, 2017 | 1.40 Mn |
| Mar 28, 2017 | -14,000.00 |
Good Times Restaurants Long-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=long-term-debt-repayments&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-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=long-term-debt-repayments&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();