Good Times Restaurants (GTIM) Net Income (2009 - 2026)
Good Times Restaurants (GTIM) reported Net Income of $1.96 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 26.5% from $1.55 million a year earlier.
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Analysis
Good Times Restaurants (GTIM) Net Income (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Good Times Restaurants' Net Income came in at $2.32 million, up 68.5% year-over-year; for FY2025 (ended Sep 30, 2025), it was $1.1 million, down 41.6% from FY2024.
- Net Income has a four-year compound annual growth rate of -50.6% (FY2021 to FY2025).
- By fiscal year, Net Income came in at $1.88 million in FY2024 (-83.9%), $11.67 million in FY2023, -$927,000 in FY2022 and $18.4 million in FY2021.
- The fiscal Q3 2026 figure ranks as the highest quarterly Net Income since fiscal Q2 2023.
- Year over year, Net Income gained in three of the last four quarters, with an average decline of 11.8%.
- The high point for year-over-year Net Income in five years was fiscal Q3 2024 (growth of 43.1%); the low point was fiscal Q4 2025 (a decline of 97.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $159,000 (Q2 2026), $198,000 (Q1 2026) and $6,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 2.49 Bn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 339.87 Mn |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 1.62 Bn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 704.00 Mn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 233.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 704.00 Mn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 335.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 91.25 Mn |
| 10 | Good Times Restaurants | 13.30 Mn | 1.83 Mn | 147,000.00 | 1.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.96 Mn |
| Mar 31, 2026 | 159,000.00 |
| Dec 30, 2025 | 198,000.00 |
| Jul 1, 2025 | 1.55 Mn |
| Apr 1, 2025 | -627,000.00 |
| Dec 31, 2024 | 174,000.00 |
| Jun 25, 2024 | 1.40 Mn |
| Mar 26, 2024 | 680,000.00 |
| Dec 26, 2023 | -483,000.00 |
| Jun 27, 2023 | 977,000.00 |
| Mar 28, 2023 | 10.74 Mn |
| Dec 27, 2022 | 95,000.00 |
| Jun 28, 2022 | 808,000.00 |
| Mar 29, 2022 | -2.15 Mn |
| Dec 28, 2021 | 330,000.00 |
| Jun 29, 2021 | 14.16 Mn |
| Mar 30, 2021 | 1.52 Mn |
| Dec 29, 2020 | 1.17 Mn |
| Sep 29, 2020 | -12.79 Mn |
| Jun 30, 2020 | 641,000.00 |
API Access
Good Times Restaurants Net Income 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=net-income&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-income&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();