Good Times Restaurants (GTIM) Profit After Tax (2010 - 2026)
Good Times Restaurants (GTIM) posted Profit After Tax of $1.96 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 26.5% from $1.55 million a year earlier.
Good Times Restaurants (GTIM) Profit After Tax (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Profit After Tax at Good Times Restaurants was $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.
- Annual Profit After Tax shows a four-year compound annual growth rate of -50.6% (FY2021 to FY2025).
- In prior fiscal years, Good Times Restaurants' Profit After Tax 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 stands as the highest quarterly Profit After Tax since fiscal Q2 2023.
- On a year-over-year basis, Profit After Tax increased in three of the last five quarters, with an average decline of 24.1%.
- The strongest year-over-year quarter for Profit After Tax in the past five years was fiscal Q3 2024, with growth of 43.1%; the weakest was fiscal Q4 2025, with a decline of 97.9%.
- According to Business Quant data, Profit After Tax for the three prior fiscal quarters was $159,000 (Q2 2026), $198,000 (Q1 2026) and $6,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (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 | 234.30 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 | 262.00 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 | 1.08 Mn |
| 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 | 1.56 Mn |
Good Times Restaurants Profit After Tax 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=profit-after-tax&ticker=GTIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();