Good Times Restaurants (GTIM) Operating Expenses (2010 - 2026)
Good Times Restaurants (GTIM) posted Operating Expenses of $33.4 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 6.7% from $35.79 million a year earlier but up 1.0% from the prior quarter.
Good Times Restaurants (GTIM) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Good Times Restaurants was $120.12 million, down 6.4% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $128.09 million, up 1.2% from FY2024.
- Annual Operating Expenses has increased for four consecutive fiscal years, with a four-year compound annual growth rate of 5.0% (FY2021 to FY2025).
- In prior fiscal years, Good Times Restaurants' Operating Expenses was $126.52 million in FY2024 (+2.7%), $123.23 million in FY2023 (+0.8%), $122.29 million in FY2022 (+15.9%) and $105.55 million in FY2021.
- Quarterly Operating Expenses has run from a low of $21.25 million in fiscal Q4 2025 to a high of $36.72 million in fiscal Q3 2024 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last five quarters, with an average decline of 3.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q1 2022, with growth of 23.8%; the weakest was fiscal Q4 2024, with a decline of 31.3%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $33.06 million (Q2 2026), $32.41 million (Q1 2026) and $21.25 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 8.42 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 2.82 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 1.51 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 1.54 Bn |
| 10 | Good Times Restaurants | 15.63 Mn | 4.15 Mn | - | 33.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.40 Mn |
| Mar 31, 2026 | 33.06 Mn |
| Dec 30, 2025 | 32.41 Mn |
| Sep 30, 2025 | 21.25 Mn |
| Jul 1, 2025 | 35.79 Mn |
| Apr 1, 2025 | 34.79 Mn |
| Dec 31, 2024 | 36.26 Mn |
| Sep 24, 2024 | 21.47 Mn |
| Jun 25, 2024 | 36.72 Mn |
| Mar 26, 2024 | 31.51 Mn |
| Dec 26, 2023 | 30.11 Mn |
| Sep 26, 2023 | 31.27 Mn |
| Jun 27, 2023 | 31.11 Mn |
| Mar 28, 2023 | 30.84 Mn |
| Dec 27, 2022 | 30.02 Mn |
| Sep 27, 2022 | 31.13 Mn |
| Jun 28, 2022 | 32.19 Mn |
| Mar 29, 2022 | 30.07 Mn |
| Dec 28, 2021 | 28.90 Mn |
| Sep 28, 2021 | 29.13 Mn |
Good Times Restaurants Operating Expenses 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-expenses&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();