Good Times Restaurants (GTIM) Operating Income (2010 - 2026)
Good Times Restaurants (GTIM) posted Operating Income of $1.77 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 43.3% from $1.23 million a year earlier and up 927.3% from the prior quarter.
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Analysis
Good Times Restaurants (GTIM) Operating Income (2010 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Good Times Restaurants' Operating Income came in at $330,000, down 76.1% from FY2024.
- Annual Operating Income shows a four-year compound annual growth rate of -53.2% (FY2021 to FY2025).
- In prior fiscal years, Good Times Restaurants' Operating Income was $1.38 million in FY2024 (+43.3%), $963,000 in FY2023, -$878,000 in FY2022 and $6.9 million in FY2021.
- The fiscal Q3 2026 figure stands as the highest quarterly Operating Income since fiscal Q3 2021.
- The strongest year-over-year quarter for Operating Income in the past five years was fiscal Q1 2026, with growth of 289.6%; the weakest was fiscal Q1 2023, with a decline of 91.6%.
- According to Business Quant data, Operating Income for the three prior fiscal quarters was $172,000 (Q2 2026), $300,000 (Q1 2026) and -$466,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 3.34 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 980.40 Mn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 525.60 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 655.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 716.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 516.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 716.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 142.79 Mn |
| 10 | Good Times Restaurants | 15.84 Mn | 4.36 Mn | - | 1.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.77 Mn |
| Mar 31, 2026 | 172,000.00 |
| Dec 30, 2025 | 300,000.00 |
| Sep 30, 2025 | -466,000.00 |
| Jul 1, 2025 | 1.23 Mn |
| Apr 1, 2025 | -514,000.00 |
| Dec 31, 2024 | 77,000.00 |
| Sep 24, 2024 | -118,000.00 |
| Jun 25, 2024 | 1.23 Mn |
| Mar 26, 2024 | 644,000.00 |
| Dec 26, 2023 | -374,000.00 |
| Sep 26, 2023 | -405,000.00 |
| Jun 27, 2023 | 444,000.00 |
| Mar 28, 2023 | 817,000.00 |
| Dec 27, 2022 | 107,000.00 |
| Sep 27, 2022 | -1.07 Mn |
| Jun 28, 2022 | 821,000.00 |
| Mar 29, 2022 | -1.91 Mn |
| Dec 28, 2021 | 1.28 Mn |
| Sep 28, 2021 | 1.59 Mn |
API Access
Good Times Restaurants Operating 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=operating-income&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-income&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();