Good Times Restaurants (GTIM) Non-Current Debt (2010 - 2026)
Good Times Restaurants (GTIM) recorded Non-Current Debt of $285,000 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 87.7% from $2.32 million a year earlier and down 72.7% from the prior quarter.
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Analysis
Good Times Restaurants (GTIM) Non-Current Debt (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Good Times Restaurants reported Non-Current Debt of $2.31 million, up 174.3% from FY2024.
- Annual Non-Current Debt has a five-year compound annual growth rate of -26.7% (FY2020 to FY2025).
- Across earlier fiscal years, Non-Current Debt came in at $842,000 in FY2024 (+12.3%) and $750,000 in FY2023.
- The fiscal Q3 2026 figure is the lowest quarterly Non-Current Debt since fiscal Q4 2013.
- On a year-over-year basis, Non-Current Debt has declined for three consecutive quarters, with growth averaging 41.6% over the last eight quarters.
- Peak year-over-year performance for Non-Current Debt in the last five years was growth of 174.3% in fiscal Q4 2025, against a decline of 87.7% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.04 million (Q2 2026), $1.8 million (Q1 2026) and $2.31 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 39.86 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 11.78 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | - |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 9.46 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 13.21 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 13.21 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 50.00 Mn |
| 10 | Good Times Restaurants | 15.63 Mn | 4.15 Mn | - | 285,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 285,000.00 |
| Mar 31, 2026 | 1.04 Mn |
| Dec 30, 2025 | 1.80 Mn |
| Sep 30, 2025 | 2.31 Mn |
| Jul 1, 2025 | 2.32 Mn |
| Apr 1, 2025 | 2.57 Mn |
| Dec 31, 2024 | 2.58 Mn |
| Sep 24, 2024 | 842,000.00 |
| Jun 25, 2024 | 1.10 Mn |
| Mar 26, 2024 | 1.25 Mn |
| Dec 26, 2023 | 1.25 Mn |
| Sep 26, 2023 | 750,000.00 |
| Mar 30, 2021 | 7.00 Mn |
| Dec 29, 2020 | 7.95 Mn |
| Sep 29, 2020 | 10.90 Mn |
| Jun 30, 2014 | 8,000.00 |
| Mar 31, 2014 | 12,000.00 |
| Dec 31, 2013 | 17,000.00 |
| Sep 30, 2013 | 20,000.00 |
| Jun 30, 2013 | 25,000.00 |
API Access
Good Times Restaurants Non-Current 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=non-current-debt&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();