Good Times Restaurants (GTIM) Gains (Losses) on Sale of Assets & Investments (2009 - 2026)
Good Times Restaurants' Non Operating Investment Income came in at $489,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with $4,000 a year earlier.
Good Times Restaurants (GTIM) Gains (Losses) on Sale of Assets & Investments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Good Times Restaurants reported Non Operating Investment Income of $804,000; for FY2025 (ended Sep 30, 2025), it was $469,000.
- Non Operating Investment Income carries a four-year compound annual growth rate of 88.7% (FY2021 to FY2025).
- Going back by fiscal year, Non Operating Investment Income was -$2,000 in FY2024, $41,000 in FY2023 (-93.9%), $676,000 in FY2022 and $37,000 in FY2021.
- The fiscal Q3 2026 figure represents the highest quarterly Non Operating Investment Income since fiscal Q1 2022.
- The fastest year-over-year change in Non Operating Investment Income over five years came in fiscal Q1 2025 (growth of 470.0%), and the weakest in fiscal Q2 2023 (a decline of 48.8%).
- Business Quant data shows GTIM's Non Operating Investment Income at -$85,000 (Q2 2026), -$14,000 (Q1 2026) and $414,000 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gains on Sales (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | - |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | - |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 1.70 Bn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | - |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | - |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 5.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | -143,000.00 |
| 10 | Good Times Restaurants | 13.30 Mn | 1.83 Mn | 147,000.00 | 489,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 489,000.00 |
| Mar 31, 2026 | -85,000.00 |
| Dec 30, 2025 | -14,000.00 |
| Jul 1, 2025 | 4,000.00 |
| Apr 1, 2025 | -6,000.00 |
| Dec 31, 2024 | 57,000.00 |
| Jun 25, 2024 | -18,000.00 |
| Mar 26, 2024 | -4,000.00 |
| Dec 26, 2023 | 10,000.00 |
| Sep 26, 2023 | 12,000.00 |
| Jun 27, 2023 | 10,000.00 |
| Mar 28, 2023 | 22,000.00 |
| Jun 28, 2022 | 9,000.00 |
| Mar 29, 2022 | 43,000.00 |
| Dec 28, 2021 | 614,000.00 |
| Jun 29, 2021 | 9,000.00 |
| Mar 30, 2021 | 10,000.00 |
| Dec 29, 2020 | 9,000.00 |
| Sep 29, 2020 | -45,000.00 |
| Jun 30, 2020 | 8,000.00 |
Good Times Restaurants Gains (Losses) on Sale of Assets & Investments 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=non-operating-investment-income&ticker=GTIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-investment-income", "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=non-operating-investment-income&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();