Good Times Restaurants (GTIM) Change in Accured Expenses (2010 - 2026)
Good Times Restaurants (GTIM) recorded Change in Accured Expenses of -$7,000 in fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with -$226,000 a year earlier.
Good Times Restaurants (GTIM) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Good Times Restaurants' Change in Accured Expenses came in at -$547,000 as of Jun 30, 2026; for FY2025 (ended Sep 30, 2025), it came in at -$958,000.
- Across earlier fiscal years, Change in Accured Expenses came in at -$66,000 in FY2024, -$372,000 in FY2023, $515,000 in FY2022 (+15.0%) and $448,000 in FY2021.
- Quarterly Change in Accured Expenses has ranged from -$869,000 in fiscal Q4 2024 to $808,000 in fiscal Q1 2022 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at -$214,000 (Q2 2026), $106,000 (Q1 2026) and -$432,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | - | 100.69 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 4.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | -8.00 Mn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | -51.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -8.00 Mn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 107.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 15.18 Mn |
| 10 | Good Times Restaurants | 15.84 Mn | 4.36 Mn | - | -7,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7,000.00 |
| Mar 31, 2026 | -214,000.00 |
| Dec 30, 2025 | 106,000.00 |
| Sep 30, 2025 | -432,000.00 |
| Jul 1, 2025 | -226,000.00 |
| Apr 1, 2025 | -703,000.00 |
| Dec 31, 2024 | 403,000.00 |
| Sep 24, 2024 | -869,000.00 |
| Jun 25, 2024 | 551,000.00 |
| Mar 26, 2024 | -161,000.00 |
| Dec 26, 2023 | 413,000.00 |
| Sep 26, 2023 | -469,000.00 |
| Jun 27, 2023 | -555,000.00 |
| Mar 28, 2023 | 404,000.00 |
| Dec 27, 2022 | 248,000.00 |
| Sep 27, 2022 | -608,000.00 |
| Jun 28, 2022 | 728,000.00 |
| Mar 29, 2022 | -413,000.00 |
| Dec 28, 2021 | 808,000.00 |
| Sep 28, 2021 | 152,000.00 |
Good Times Restaurants Change in Accured 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=change-in-accured-expenses&ticker=GTIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();