Good Times Restaurants (GTIM) Total Liabilities (2010 - 2026)
Good Times Restaurants (GTIM) posted Total Liabilities of $44.05 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 15.2% from $51.94 million a year earlier and down 6.0% from the prior quarter.
Good Times Restaurants (GTIM) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Good Times Restaurants' Total Liabilities came in at $50 million, down 7.5% from FY2024.
- Annual Total Liabilities has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -10.0% (FY2020 to FY2025).
- In prior fiscal years, Good Times Restaurants' Total Liabilities was $54.03 million in FY2024 (-7.0%), $58.09 million in FY2023 (-0.9%), $58.6 million in FY2022 (-6.7%) and $62.81 million in FY2021 (-25.9%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Total Liabilities since fiscal Q4 2013.
- On a year-over-year basis, Total Liabilities has declined in each of the last ten quarters, with an average decline of 9.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2024, with growth of 1.1%; the weakest was fiscal Q4 2021, with a decline of 25.9%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $46.85 million (Q2 2026), $48.5 million (Q1 2026) and $50 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 35.97 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 6.66 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 15.79 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 10.65 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 2.09 Bn |
| 10 | Good Times Restaurants | 15.63 Mn | 4.15 Mn | - | 44.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.05 Mn |
| Mar 31, 2026 | 46.85 Mn |
| Dec 30, 2025 | 48.50 Mn |
| Sep 30, 2025 | 50.00 Mn |
| Jul 1, 2025 | 51.94 Mn |
| Apr 1, 2025 | 54.64 Mn |
| Dec 31, 2024 | 56.46 Mn |
| Sep 24, 2024 | 54.03 Mn |
| Jun 25, 2024 | 57.06 Mn |
| Mar 26, 2024 | 56.82 Mn |
| Dec 26, 2023 | 58.04 Mn |
| Sep 26, 2023 | 58.09 Mn |
| Jun 27, 2023 | 57.42 Mn |
| Mar 28, 2023 | 58.57 Mn |
| Dec 27, 2022 | 57.43 Mn |
| Sep 27, 2022 | 58.60 Mn |
| Jun 28, 2022 | 60.59 Mn |
| Mar 29, 2022 | 61.11 Mn |
| Dec 28, 2021 | 61.81 Mn |
| Sep 28, 2021 | 62.81 Mn |
Good Times Restaurants Total Liabilities 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-liabilities&ticker=GTIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();