Good Times Restaurants (GTIM) Consolidated Net Income (2010 - 2026)
Good Times Restaurants' Consolidated Net Income was $1.96 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 26.5% from $1.55 million a year earlier.
Good Times Restaurants (GTIM) Consolidated Net Income (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Good Times Restaurants' Consolidated Net Income was $2.32 million through Jun 30, 2026, up 68.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $1.1 million, down 41.6% from FY2024.
- Consolidated Net Income shows a four-year compound annual growth rate of -50.6% (FY2021 to FY2025).
- In earlier fiscal years, Consolidated Net Income was $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 marks the highest quarterly Consolidated Net Income since fiscal Q2 2023.
- Compared with a year earlier, Consolidated Net Income was higher in three of the last four quarters, with an average decline of 11.8%.
- The best year-over-year quarter for Consolidated Net Income over five years was fiscal Q3 2024 (growth of 43.1%); the worst was fiscal Q4 2025 (a decline of 97.9%).
- Per Business Quant data, GTIM's Consolidated Net Income in the three fiscal quarters before Q3 2026 was $159,000 (Q2 2026), $198,000 (Q1 2026) and $6,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 2.36 Bn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 1.04 Bn |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 403.55 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 853.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 665.00 Mn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 233.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 665.00 Mn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 264.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 124.51 Mn |
| 10 | Good Times Restaurants | 15.84 Mn | 4.36 Mn | - | 1.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.96 Mn |
| Mar 31, 2026 | 159,000.00 |
| Dec 30, 2025 | 198,000.00 |
| Sep 30, 2025 | 6,000.00 |
| Jul 1, 2025 | 1.55 Mn |
| Apr 1, 2025 | -627,000.00 |
| Dec 31, 2024 | 174,000.00 |
| Sep 24, 2024 | 284,000.00 |
| Jun 25, 2024 | 1.40 Mn |
| Mar 26, 2024 | 680,000.00 |
| Dec 26, 2023 | -483,000.00 |
| Sep 26, 2023 | -143,000.00 |
| Jun 27, 2023 | 977,000.00 |
| Mar 28, 2023 | 10.74 Mn |
| Dec 27, 2022 | 95,000.00 |
| Sep 27, 2022 | -1.07 Mn |
| Jun 28, 2022 | 808,000.00 |
| Mar 29, 2022 | -1.92 Mn |
| Dec 28, 2021 | 1.25 Mn |
| Sep 28, 2021 | 1.55 Mn |
Good Times Restaurants Consolidated 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=consolidated-net-income&ticker=GTIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-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=consolidated-net-income&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();