Good Times Restaurants (GTIM) Total Debt (2010 - 2026)
Good Times Restaurants (GTIM) posted Total Debt of $318,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 86.5% from $2.35 million a year earlier and down 70.5% from the prior quarter.
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Analysis
Good Times Restaurants (GTIM) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Good Times Restaurants' Total Debt came in at $2.34 million, up 168.6% from FY2024.
- Annual Total Debt shows a five-year compound annual growth rate of -32.8% (FY2020 to FY2025).
- In prior fiscal years, Good Times Restaurants' Total Debt was $872,000 in FY2024 (+16.3%) and $750,000 in FY2023.
- The fiscal Q3 2026 figure stands as the lowest quarterly Total Debt since fiscal Q4 2013.
- On a year-over-year basis, Total Debt has declined in each of the last three quarters, with growth averaging 41.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was fiscal Q4 2025, with growth of 168.6%; the weakest was fiscal Q3 2026, with a decline of 86.5%.
- According to Business Quant data, Total Debt for the three prior fiscal quarters was $1.08 million (Q2 2026), $1.83 million (Q1 2026) and $2.34 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 39.86 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 13.28 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | - |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 12.28 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 13.29 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 693.60 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 13.29 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 66.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 50.00 Mn |
| 10 | Good Times Restaurants | 15.63 Mn | 4.15 Mn | - | 318,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 318,000.00 |
| Mar 31, 2026 | 1.08 Mn |
| Dec 30, 2025 | 1.83 Mn |
| Sep 30, 2025 | 2.34 Mn |
| Jul 1, 2025 | 2.35 Mn |
| Apr 1, 2025 | 2.61 Mn |
| Dec 31, 2024 | 2.61 Mn |
| Sep 24, 2024 | 872,000.00 |
| Jun 25, 2024 | 1.13 Mn |
| Mar 26, 2024 | 1.25 Mn |
| Dec 26, 2023 | 1.25 Mn |
| Sep 26, 2023 | 750,000.00 |
| Mar 30, 2021 | 15.15 Mn |
| Dec 29, 2020 | 15.65 Mn |
| Sep 29, 2020 | 17.15 Mn |
| Jun 30, 2014 | 55,000.00 |
| Mar 31, 2014 | 58,000.00 |
| Dec 31, 2013 | 62,000.00 |
| Sep 30, 2013 | 64,000.00 |
| Jun 30, 2013 | 69,000.00 |
API Access
Good Times Restaurants Total Debt 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=total-debt&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();