Good Times Restaurants (GTIM) Cash & Equivalents (2010 - 2026)
Good Times Restaurants' Cash & Equivalents came in at $3.6 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 14.6% from $3.14 million a year earlier and up 30.8% from the prior quarter.
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Analysis
Good Times Restaurants (GTIM) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Good Times Restaurants' Cash & Equivalents was $2.61 million, down 32.4% from FY2024.
- Cash & Equivalents has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -25.6% (FY2020 to FY2025).
- Going back by fiscal year, Cash & Equivalents was $3.85 million in FY2024 (-7.9%), $4.18 million in FY2023 (-53.0%), $8.91 million in FY2022 (+0.6%) and $8.86 million in FY2021 (-22.7%).
- The fiscal Q3 2026 figure represents the highest quarterly Cash & Equivalents since fiscal Q4 2024.
- Year-over-year, Cash & Equivalents has increased for three consecutive quarters, with an average decline of 12.0% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q3 2024 (growth of 30.8%), and the weakest in fiscal Q3 2023 (a decline of 62.0%).
- Business Quant data shows GTIM's Cash & Equivalents at $2.75 million (Q2 2026), $3.32 million (Q1 2026) and $2.61 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 3.45 Bn |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 228.20 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 674.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 202.43 Mn |
| 10 | Good Times Restaurants | 15.84 Mn | 4.36 Mn | - | 3.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.60 Mn |
| Mar 31, 2026 | 2.75 Mn |
| Dec 30, 2025 | 3.32 Mn |
| Sep 30, 2025 | 2.61 Mn |
| Jul 1, 2025 | 3.14 Mn |
| Apr 1, 2025 | 2.71 Mn |
| Dec 31, 2024 | 3.02 Mn |
| Sep 24, 2024 | 3.85 Mn |
| Jun 25, 2024 | 4.82 Mn |
| Mar 26, 2024 | 4.00 Mn |
| Dec 26, 2023 | 3.52 Mn |
| Sep 26, 2023 | 4.18 Mn |
| Jun 27, 2023 | 3.68 Mn |
| Mar 28, 2023 | 5.37 Mn |
| Dec 27, 2022 | 6.91 Mn |
| Sep 27, 2022 | 8.91 Mn |
| Jun 28, 2022 | 9.70 Mn |
| Mar 29, 2022 | 7.07 Mn |
| Dec 28, 2021 | 7.64 Mn |
| Sep 28, 2021 | 8.86 Mn |
API Access
Good Times Restaurants Cash & Equivalents 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=cash-and-equivalents&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();