Good Times Restaurants (GTIM) EBITDA Margin (2010 - 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 (2010 - 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 | 165.62 Bn | 160.44 Bn | 6.42 Bn | 54.98% |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 14.70% |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 18.63% |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 32.96% |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 31.47% |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 17.83% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 31.47% |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 14.91% |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 11.97% |
| 10 | Good Times Restaurants | 15.63 Mn | 4.15 Mn | - | 7.64% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.64% |
| Mar 31, 2026 | 3.22% |
| Dec 30, 2025 | 3.87% |
| Sep 30, 2025 | 1.51% |
| Jul 1, 2025 | 6.03% |
| Apr 1, 2025 | 1.50% |
| Dec 31, 2024 | 3.08% |
| Sep 24, 2024 | 2.37% |
| Jun 25, 2024 | 5.83% |
| Mar 26, 2024 | 4.50% |
| Dec 26, 2023 | 1.73% |
| Sep 26, 2023 | 1.57% |
| Jun 27, 2023 | 3.91% |
| Mar 28, 2023 | 5.01% |
| Dec 27, 2022 | 3.11% |
| Sep 27, 2022 | -0.39% |
| Jun 28, 2022 | 5.03% |
| Mar 29, 2022 | -2.60% |
| Dec 28, 2021 | 7.15% |
| Sep 28, 2021 | 7.93% |
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();