Good Times Restaurants (GTIM) Net Margin (2010 - 2026)
Good Times Restaurants' Net Margin was 5.42% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.41 percentage points from 4.02% a year earlier and up 4.97 percentage points from the prior quarter.
Good Times Restaurants (GTIM) Net Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Good Times Restaurants' Net Margin was 1.65% through Jun 30, 2026, up 0.78 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 0.72%, down 0.41 percentage points from FY2024.
- Net Margin shows a four-year change of -12.82 percentage points (FY2021 to FY2025).
- In earlier fiscal years, Net Margin was 1.13% in FY2024 (-6.89 pp), 8.02% in FY2023 (+9.94 pp), -1.91% in FY2022 (-15.45 pp) and 13.54% in FY2021.
- The fiscal Q3 2026 figure marks the highest quarterly Net Margin since fiscal Q2 2023.
- Compared with a year earlier, Net Margin has increased for three straight quarters, with an average year-over-year change of +0.45 percentage points over the last eight quarters.
- The best year-over-year quarter for Net Margin over five years was fiscal Q2 2023 (a gain of 36.93 percentage points); the worst was fiscal Q3 2022 (a drop of 38.88 percentage points).
- Per Business Quant data, GTIM's Net Margin in the three fiscal quarters before Q3 2026 was 0.45% (Q2 2026), 0.55% (Q1 2026) and -0.01% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 33.27% |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 11.21% |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 12.05% |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 39.33% |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 20.12% |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 10.89% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 26.39% |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 7.78% |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 7.26% |
| 10 | Good Times Restaurants | 15.63 Mn | 4.15 Mn | - | 5.42% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.42% |
| Mar 31, 2026 | 0.45% |
| Dec 30, 2025 | 0.55% |
| Sep 30, 2025 | -0.01% |
| Jul 1, 2025 | 4.02% |
| Apr 1, 2025 | -1.82% |
| Dec 31, 2024 | 0.45% |
| Sep 24, 2024 | 0.64% |
| Jun 25, 2024 | 3.48% |
| Mar 26, 2024 | 1.74% |
| Dec 26, 2023 | -1.68% |
| Sep 26, 2023 | -0.73% |
| Jun 27, 2023 | 2.36% |
| Mar 28, 2023 | 30.53% |
| Dec 27, 2022 | -0.38% |
| Sep 27, 2022 | -3.67% |
| Jun 28, 2022 | 1.29% |
| Mar 29, 2022 | -6.40% |
| Dec 28, 2021 | 1.00% |
| Sep 28, 2021 | 3.74% |
Good Times Restaurants Net 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=net-margin&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();