Good Times Restaurants (GTIM) Return on Assets [ROA] (2011 - 2026)
Good Times Restaurants' Return on Assets [ROA] came in at 2.88% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.28 percentage points from 1.59% a year earlier and up 0.54 percentage points from the prior quarter.
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Analysis
Good Times Restaurants (GTIM) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Good Times Restaurants' Return on Assets [ROA] was 1.28%, down 0.82 percentage points from FY2024.
- Return on Assets [ROA] carries a four-year change of -17.75 percentage points (FY2021 to FY2025).
- Going back by fiscal year, Return on Assets [ROA] was 2.11% in FY2024 (-11.04 pp), 13.15% in FY2023 (+14.18 pp), -1.03% in FY2022 (-20.06 pp) and 19.03% in FY2021.
- The fiscal Q3 2026 figure represents the highest quarterly Return on Assets [ROA] since fiscal Q1 2024.
- Year-over-year, Return on Assets [ROA] increased in three of the last eight quarters, with an average year-over-year change of -2.50 percentage points.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in fiscal Q1 2022 (a gain of 18.90 percentage points), and the weakest in fiscal Q1 2023 (a drop of 22.20 percentage points).
- Business Quant data shows GTIM's Return on Assets [ROA] at 2.33% (Q2 2026), 1.35% (Q1 2026) and 1.30% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 14.65% |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 6.74% |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 16.07% |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 26.25% |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | 6.82% |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 9.37% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 6.82% |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 9.70% |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 11.65% |
| 10 | Good Times Restaurants | 15.84 Mn | 4.36 Mn | - | 2.88% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.88% |
| Mar 31, 2026 | 2.33% |
| Dec 30, 2025 | 1.35% |
| Sep 30, 2025 | 1.30% |
| Jul 1, 2025 | 1.59% |
| Apr 1, 2025 | 1.39% |
| Dec 31, 2024 | 2.87% |
| Sep 24, 2024 | 2.12% |
| Jun 25, 2024 | 1.62% |
| Mar 26, 2024 | 1.15% |
| Dec 26, 2023 | 12.24% |
| Sep 26, 2023 | 12.80% |
| Jun 27, 2023 | 11.74% |
| Mar 28, 2023 | 12.01% |
| Dec 27, 2022 | -2.44% |
| Sep 27, 2022 | -1.05% |
| Jun 28, 2022 | 1.87% |
| Mar 29, 2022 | 16.36% |
| Dec 28, 2021 | 19.76% |
| Sep 28, 2021 | 19.44% |
API Access
Good Times Restaurants Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();