Good Times Restaurants (GTIM) Return on Equity [ROE] (2009 - 2026)
Good Times Restaurants (GTIM) recorded Return on Equity [ROE] of 6.59% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 2.43 percentage points from 4.16% a year earlier and up 1.00 percentage points from the prior quarter.
Good Times Restaurants (GTIM) Return on Equity [ROE] (2009 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Good Times Restaurants reported Return on Equity [ROE] of 3.28%, down 2.40 percentage points from FY2024.
- Annual Return on Equity [ROE] has a four-year change of -76.97 percentage points (FY2021 to FY2025).
- Across earlier fiscal years, Return on Equity [ROE] came in at 5.69% in FY2024 (-32.72 pp), 38.41% in FY2023 (+41.57 pp), -3.16% in FY2022 (-83.42 pp) and 80.26% in FY2021.
- The fiscal Q3 2026 figure is the highest quarterly Return on Equity [ROE] since fiscal Q1 2025.
- On a year-over-year basis, Return on Equity [ROE] rose in three of the last eight quarters, with an average year-over-year change of -7.24 percentage points.
- Peak year-over-year performance for Return on Equity [ROE] in the last five years was a gain of 53.67 percentage points in fiscal Q1 2022, against a drop of 66.82 percentage points in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 5.59% (Q2 2026), 3.31% (Q1 2026) and 3.25% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | - |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 59.11% |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | - |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 36.05% |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 55.30% |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 36.05% |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 17.82% |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 26.86% |
| 10 | Good Times Restaurants | 13.30 Mn | 1.83 Mn | 147,000.00 | 10.97% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.97% |
| Mar 31, 2026 | 3.74% |
| Dec 30, 2025 | 3.80% |
| Jul 1, 2025 | 7.53% |
| Apr 1, 2025 | 4.97% |
| Dec 31, 2024 | 5.35% |
| Jun 25, 2024 | 7.90% |
| Mar 26, 2024 | 37.11% |
| Dec 26, 2023 | 34.83% |
| Jun 27, 2023 | 37.58% |
| Mar 28, 2023 | 32.35% |
| Dec 27, 2022 | 0.85% |
| Jun 28, 2022 | 48.61% |
| Mar 29, 2022 | 49.26% |
| Dec 28, 2021 | 57.95% |
| Jun 29, 2021 | 16.78% |
| Mar 30, 2021 | -57.21% |
| Dec 29, 2020 | -166.61% |
| Sep 29, 2020 | -192.99% |
| Jun 30, 2020 | -141.41% |
Good Times Restaurants Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=GTIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();