Good Times Restaurants (GTIM) Prepaid Assets (2010 - 2026)
Good Times Restaurants' Prepaid Assets was $913,000 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 14.7% from $1.07 million a year earlier and down 11.4% from the prior quarter.
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Analysis
Good Times Restaurants (GTIM) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Prepaid Assets at Good Times Restaurants came in at $466,000, up 18.0% from FY2024.
- Prepaid Assets shows a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- In earlier fiscal years, Prepaid Assets was $395,000 in FY2024 (+142.3%), $163,000 in FY2023 (-81.6%), $888,000 in FY2022 (+38.5%) and $641,000 in FY2021 (+133.1%).
- Quarterly Prepaid Assets has moved between $163,000 (fiscal Q4 2023) and $1.96 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Prepaid Assets has declined for three straight quarters, with growth averaging 35.7% over the last eight quarters.
- The best year-over-year quarter for Prepaid Assets over five years was fiscal Q3 2022 (growth of 184.2%); the worst was fiscal Q4 2023 (a decline of 81.6%).
- Per Business Quant data, GTIM's Prepaid Assets in the three fiscal quarters before Q3 2026 was $1.03 million (Q2 2026), $888,000 (Q1 2026) and $466,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | Good Times Restaurants | 15.84 Mn | 4.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 913,000.00 |
| Mar 31, 2026 | 1.03 Mn |
| Dec 30, 2025 | 888,000.00 |
| Sep 30, 2025 | 466,000.00 |
| Jul 1, 2025 | 1.07 Mn |
| Apr 1, 2025 | 1.17 Mn |
| Dec 31, 2024 | 1.12 Mn |
| Sep 24, 2024 | 395,000.00 |
| Jun 25, 2024 | 662,000.00 |
| Mar 26, 2024 | 768,000.00 |
| Dec 26, 2023 | 705,000.00 |
| Sep 26, 2023 | 163,000.00 |
| Jun 27, 2023 | 1.41 Mn |
| Mar 28, 2023 | 1.75 Mn |
| Dec 27, 2022 | 1.96 Mn |
| Sep 27, 2022 | 888,000.00 |
| Jun 28, 2022 | 1.39 Mn |
| Mar 29, 2022 | 1.82 Mn |
| Dec 28, 2021 | 1.57 Mn |
| Sep 28, 2021 | 641,000.00 |
API Access
Good Times Restaurants Prepaid 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=prepaid-assets&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();