Good Times Restaurants (GTIM) Other Accumulated Expenses (2010 - 2026)
Good Times Restaurants' Other Accumulated Expenses came in at $5.44 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 8.3% from $5.93 million a year earlier and down 0.1% from the prior quarter.
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Analysis
Good Times Restaurants (GTIM) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Good Times Restaurants' Other Accumulated Expenses was $5.47 million, down 15.0% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- Going back by fiscal year, Other Accumulated Expenses was $6.44 million in FY2024 (-0.2%), $6.45 million in FY2023 (+245.5%) and $1.87 million in FY2022.
- The fiscal Q3 2026 figure represents the lowest quarterly Other Accumulated Expenses since fiscal Q2 2024.
- Year-over-year, Other Accumulated Expenses has declined for five consecutive quarters, with growth averaging 94.3% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q3 2024 (growth of 470.3%), and the weakest in fiscal Q2 2024 (a decline of 48.8%).
- Business Quant data shows GTIM's Other Accumulated Expenses at $5.45 million (Q2 2026), $5.58 million (Q1 2026) and $5.47 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - |
| 10 | Good Times Restaurants | 15.84 Mn | 4.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.44 Mn |
| Mar 31, 2026 | 5.45 Mn |
| Dec 30, 2025 | 5.58 Mn |
| Sep 30, 2025 | 5.47 Mn |
| Jul 1, 2025 | 5.93 Mn |
| Apr 1, 2025 | 6.15 Mn |
| Dec 31, 2024 | 6.85 Mn |
| Sep 24, 2024 | 6.44 Mn |
| Jun 25, 2024 | 7.27 Mn |
| Mar 26, 2024 | 1.15 Mn |
| Dec 26, 2023 | 1.40 Mn |
| Sep 26, 2023 | 6.45 Mn |
| Jun 27, 2023 | 1.27 Mn |
| Mar 28, 2023 | 2.24 Mn |
| Dec 27, 2022 | 1.50 Mn |
| Sep 27, 2022 | 1.87 Mn |
| Jun 29, 2021 | 2.35 Mn |
| Mar 30, 2021 | 5.86 Mn |
| Dec 29, 2020 | 5.21 Mn |
| Sep 29, 2020 | 5.06 Mn |
API Access
Good Times Restaurants Other Accumulated Expenses 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=other-accumulated-expenses&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();