Good Times Restaurants (GTIM) Long-Term Debt Repayments (2010 - 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 (2010 - 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 | 177.96 Bn | 172.78 Bn | 6.42 Bn | 580.00 Mn |
| 2 | Starbucks | 115.89 Bn | 103.51 Bn | - | 1.82 Bn |
| 3 | Yum Brands | 42.08 Bn | 38.96 Bn | 1.47 Bn | 6.00 Mn |
| 4 | Chipotle Mexican Grill | 35.80 Bn | 31.78 Bn | - | - |
| 5 | Restaurant Brands International | 26.36 Bn | 21.91 Bn | 1.38 Bn | 29.00 Mn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn | 5.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn | 29.00 Mn |
| 8 | Yum China Holdings | 15.49 Bn | 9.15 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.01 Bn | 10.35 Bn | - | - |
| 10 | Good Times Restaurants | 13.83 Mn | 1.56 Mn | - | 759,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 759,000.00 |
| Mar 31, 2026 | 757,000.00 |
| Dec 30, 2025 | 1.01 Mn |
| Sep 30, 2025 | 6,000.00 |
| Jul 1, 2025 | 257,000.00 |
| Apr 1, 2025 | 507,000.00 |
| Dec 31, 2024 | 10,000.00 |
| Sep 24, 2024 | 258,000.00 |
| Jun 25, 2024 | 500,000.00 |
| 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 |
| Jun 30, 2012 | 56,000.00 |
| Mar 31, 2012 | 62,000.00 |
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();