Good Times Restaurants (GTIM) Total Current Liabilities (2010 - 2026)
Good Times Restaurants (GTIM) recorded Total Current Liabilities of $14.32 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 4.3% from $14.96 million a year earlier and down 2.8% from the prior quarter.
Good Times Restaurants (GTIM) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Good Times Restaurants reported Total Current Liabilities of $14.38 million, down 8.3% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- Across earlier fiscal years, Total Current Liabilities came in at $15.69 million in FY2024 (+5.4%), $14.89 million in FY2023 (+15.5%), $12.9 million in FY2022 (+0.1%) and $12.89 million in FY2021 (-30.9%).
- The fiscal Q3 2026 figure is the lowest quarterly Total Current Liabilities since fiscal Q3 2023.
- On a year-over-year basis, Total Current Liabilities has declined for five consecutive quarters, with an average decline of 3.2% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 21.6% in fiscal Q3 2024, against a decline of 38.6% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $14.73 million (Q2 2026), $14.98 million (Q1 2026) and $14.38 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 4.02 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 9.92 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 1.32 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 4.29 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 2.31 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 3.01 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.31 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 2.44 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 790.79 Mn |
| 10 | Good Times Restaurants | 15.63 Mn | 4.15 Mn | - | 14.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.32 Mn |
| Mar 31, 2026 | 14.73 Mn |
| Dec 30, 2025 | 14.98 Mn |
| Sep 30, 2025 | 14.38 Mn |
| Jul 1, 2025 | 14.96 Mn |
| Apr 1, 2025 | 15.59 Mn |
| Dec 31, 2024 | 15.80 Mn |
| Sep 24, 2024 | 15.69 Mn |
| Jun 25, 2024 | 16.54 Mn |
| Mar 26, 2024 | 15.58 Mn |
| Dec 26, 2023 | 15.48 Mn |
| Sep 26, 2023 | 14.89 Mn |
| Jun 27, 2023 | 13.60 Mn |
| Mar 28, 2023 | 15.37 Mn |
| Dec 27, 2022 | 13.43 Mn |
| Sep 27, 2022 | 12.90 Mn |
| Jun 28, 2022 | 13.57 Mn |
| Mar 29, 2022 | 12.72 Mn |
| Dec 28, 2021 | 12.83 Mn |
| Sep 28, 2021 | 12.89 Mn |
Good Times Restaurants Total Current 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-current-liabilities&ticker=GTIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();