Good Times Restaurants (GTIM) Cash from Operations (2010 - 2026)
Good Times Restaurants (GTIM) posted Cash from Operations of $1.76 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 39.4% from $1.27 million a year earlier and up 243.9% from the prior quarter.
Good Times Restaurants (GTIM) Cash from Operations (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at Good Times Restaurants was $3.85 million, up 107.5% year-over-year; for FY2025 (ended Sep 30, 2025), it was $1.61 million, down 68.6% from FY2024.
- Annual Cash from Operations shows a four-year compound annual growth rate of -35.2% (FY2021 to FY2025).
- In prior fiscal years, Good Times Restaurants' Cash from Operations was $5.13 million in FY2024 (-35.6%), $7.97 million in FY2023 (+50.5%), $5.29 million in FY2022 (-42.1%) and $9.15 million in FY2021.
- The fiscal Q3 2026 figure stands as the highest quarterly Cash from Operations since fiscal Q3 2024.
- On a year-over-year basis, Cash from Operations increased in 1 of the last six quarters, with an average decline of 43.1%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was fiscal Q3 2024, with growth of 486.7%; the weakest was fiscal Q4 2024, with a decline of 87.9%.
- According to Business Quant data, Cash from Operations for the three prior fiscal quarters was $513,000 (Q2 2026), $1.42 million (Q1 2026) and $152,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 2.81 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.64 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 680.65 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 507.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 530.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 572.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 530.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 426.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 180.15 Mn |
| 10 | Good Times Restaurants | 15.84 Mn | 4.36 Mn | - | 1.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.76 Mn |
| Mar 31, 2026 | 513,000.00 |
| Dec 30, 2025 | 1.42 Mn |
| Sep 30, 2025 | 152,000.00 |
| Jul 1, 2025 | 1.27 Mn |
| Apr 1, 2025 | 714,000.00 |
| Dec 31, 2024 | -518,000.00 |
| Sep 24, 2024 | 394,000.00 |
| Jun 25, 2024 | 3.22 Mn |
| Mar 26, 2024 | 1.77 Mn |
| Dec 26, 2023 | -252,000.00 |
| Sep 26, 2023 | 3.26 Mn |
| Jun 27, 2023 | 549,000.00 |
| Mar 28, 2023 | 4.31 Mn |
| Dec 27, 2022 | -154,000.00 |
| Sep 27, 2022 | 873,000.00 |
| Jun 28, 2022 | 3.11 Mn |
| Mar 29, 2022 | 1.53 Mn |
| Dec 28, 2021 | -219,000.00 |
| Sep 28, 2021 | 1.76 Mn |
Good Times Restaurants Cash from Operations 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=cash-from-operations&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();