Good Times Restaurants (GTIM) FCF Margin (2009 - 2026)
Good Times Restaurants (GTIM) recorded FCF Margin of 3.84% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.86 percentage points from 1.99% a year earlier and up 3.27 percentage points from the prior quarter.
Good Times Restaurants (GTIM) FCF Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Good Times Restaurants' FCF Margin came in at 1.94% as of Jun 30, 2026, up 3.18 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at -1.03%, down 2.42 percentage points from FY2024.
- Annual FCF Margin has a four-year change of -5.82 percentage points (FY2021 to FY2025).
- Across earlier fiscal years, FCF Margin came in at 1.40% in FY2024 (-0.92 pp), 2.31% in FY2023 (+0.39 pp), 1.92% in FY2022 (-2.88 pp) and 4.80% in FY2021.
- The fiscal Q3 2026 figure is the highest quarterly FCF Margin since fiscal Q3 2024.
- On a year-over-year basis, FCF Margin has increased for four consecutive quarters, with an average year-over-year change of -0.44 percentage points over the last eight quarters.
- Peak year-over-year performance for FCF Margin in the last five years was a gain of 9.09 percentage points in fiscal Q1 2026, against a drop of 10.67 percentage points in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 0.57% (Q2 2026), 3.77% (Q1 2026) and -0.44% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 29.09% |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 10.54% |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 18.89% |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 18.97% |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 3.09% |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | -30.73% |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 10.32% |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 0.71% |
| 10 | Good Times Restaurants | 13.30 Mn | 1.83 Mn | 147,000.00 | 1.17% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.17% |
| Mar 31, 2026 | 1.54% |
| Dec 30, 2025 | 3.77% |
| Jul 1, 2025 | 1.43% |
| Apr 1, 2025 | 6.52% |
| Dec 31, 2024 | -5.32% |
| Jun 25, 2024 | 3.21% |
| Mar 26, 2024 | 3.00% |
| Dec 26, 2023 | -2.11% |
| Mar 28, 2023 | 4.09% |
| Dec 27, 2022 | -2.63% |
| Dec 28, 2021 | -1.39% |
| Mar 30, 2021 | 4.06% |
| Dec 29, 2020 | 1.33% |
| Jun 30, 2020 | 17.46% |
| Mar 31, 2020 | 6.68% |
| Dec 31, 2019 | -1.99% |
| Jun 25, 2019 | 3.13% |
| Mar 26, 2019 | 13.96% |
| Dec 25, 2018 | -13.03% |
Good Times Restaurants FCF Margin 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=fcf-margin&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-margin", "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=fcf-margin&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();