Good Times Restaurants (GTIM) EBITDA Margin (2009 - 2026)
Good Times Restaurants' EBITDA Margin was 7.64% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.61 percentage points from 6.03% a year earlier and up 4.42 percentage points from the prior quarter.
Good Times Restaurants (GTIM) EBITDA Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Good Times Restaurants' EBITDA Margin was 4.10% through Jun 30, 2026, up 0.81 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 3.09%, down 0.58 percentage points from FY2024.
- EBITDA Margin shows a four-year change of -5.69 percentage points (FY2021 to FY2025).
- In earlier fiscal years, EBITDA Margin was 3.67% in FY2024 (+0.26 pp), 3.41% in FY2023 (+1.11 pp), 2.30% in FY2022 (-6.48 pp) and 8.78% in FY2021.
- The fiscal Q3 2026 figure marks the highest quarterly EBITDA Margin since fiscal Q4 2021.
- Compared with a year earlier, EBITDA Margin has increased for three straight quarters, with an average year-over-year change of +0.33 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q2 2023 (a gain of 7.61 percentage points); the worst was fiscal Q2 2022 (a drop of 11.28 percentage points).
- Per Business Quant data, GTIM's EBITDA Margin in the three fiscal quarters before Q3 2026 was 3.22% (Q2 2026), 3.87% (Q1 2026) and 1.51% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 58.15% |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 16.84% |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 115.58% |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 30.73% |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 14.48% |
| 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 | 16.45% |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 10.38% |
| 10 | Good Times Restaurants | 13.30 Mn | 1.83 Mn | 147,000.00 | 7.63% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.63% |
| Mar 31, 2026 | 3.16% |
| Dec 30, 2025 | 3.87% |
| Jul 1, 2025 | 5.98% |
| Apr 1, 2025 | 1.41% |
| Dec 31, 2024 | 3.08% |
| Jun 25, 2024 | 5.77% |
| Mar 26, 2024 | 4.43% |
| Dec 26, 2023 | 1.73% |
| Jun 27, 2023 | 3.83% |
| Mar 28, 2023 | 4.97% |
| Dec 27, 2022 | 3.11% |
| Jun 28, 2022 | 4.97% |
| Mar 29, 2022 | -2.67% |
| Dec 28, 2021 | 7.15% |
| Jun 29, 2021 | 9.97% |
| Mar 30, 2021 | 8.68% |
| Dec 29, 2020 | 8.17% |
| Jun 30, 2020 | 7.67% |
| Mar 31, 2020 | -51.07% |
Good Times Restaurants EBITDA 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=ebitda-margin&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();