Good Times Restaurants (GTIM) Current Assets (2010 - 2026)
Good Times Restaurants (GTIM) recorded Current Assets of $6.67 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 2.6% from $6.5 million a year earlier and up 14.1% from the prior quarter.
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Analysis
Good Times Restaurants (GTIM) Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Good Times Restaurants reported Current Assets of $5.25 million, down 19.9% from FY2024.
- Annual Current Assets has a five-year compound annual growth rate of -17.2% (FY2020 to FY2025).
- Across earlier fiscal years, Current Assets came in at $6.56 million in FY2024 (+0.6%), $6.52 million in FY2023 (-45.1%), $11.88 million in FY2022 (+3.8%) and $11.44 million in FY2021 (-15.2%).
- Quarterly Current Assets has ranged from $5.25 million in fiscal Q4 2025 to $13.14 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Current Assets rose in three of the last eight quarters, with an average decline of 6.7%.
- Peak year-over-year performance for Current Assets in the last five years was growth of 7.4% in fiscal Q3 2024, against a decline of 45.3% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $5.84 million (Q2 2026), $6.73 million (Q1 2026) and $5.25 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 4.35 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 7.53 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 940.74 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 2.54 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 2.34 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 942.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.34 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 2.35 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 361.90 Mn |
| 10 | Good Times Restaurants | 15.63 Mn | 4.15 Mn | - | 6.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.67 Mn |
| Mar 31, 2026 | 5.84 Mn |
| Dec 30, 2025 | 6.73 Mn |
| Sep 30, 2025 | 5.25 Mn |
| Jul 1, 2025 | 6.50 Mn |
| Apr 1, 2025 | 6.09 Mn |
| Dec 31, 2024 | 6.58 Mn |
| Sep 24, 2024 | 6.56 Mn |
| Jun 25, 2024 | 7.71 Mn |
| Mar 26, 2024 | 7.06 Mn |
| Dec 26, 2023 | 6.98 Mn |
| Sep 26, 2023 | 6.52 Mn |
| Jun 27, 2023 | 7.18 Mn |
| Mar 28, 2023 | 9.04 Mn |
| Dec 27, 2022 | 11.39 Mn |
| Sep 27, 2022 | 11.88 Mn |
| Jun 28, 2022 | 13.14 Mn |
| Mar 29, 2022 | 11.68 Mn |
| Dec 28, 2021 | 12.87 Mn |
| Sep 28, 2021 | 11.44 Mn |
API Access
Good Times Restaurants Current Assets 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=current-assets&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();