Good Times Restaurants (GTIM) Return on Capital Employed [ROCE] (2010 - 2026)
Good Times Restaurants (GTIM) recorded Return on Capital Employed [ROCE] of 2.67% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.72 percentage points from 0.95% a year earlier and up 0.83 percentage points from the prior quarter.
Good Times Restaurants (GTIM) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Good Times Restaurants reported Return on Capital Employed [ROCE] of 0.46%, down 1.42 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a four-year change of -7.77 percentage points (FY2021 to FY2025).
- Across earlier fiscal years, Return on Capital Employed [ROCE] came in at 1.88% in FY2024 (+0.58 pp), 1.30% in FY2023 (+2.44 pp), -1.14% in FY2022 (-9.37 pp) and 8.23% in FY2021.
- The fiscal Q3 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since fiscal Q2 2022.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in five of the last eight quarters, with an average year-over-year change of +0.25 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 7.17 percentage points in fiscal Q1 2022, against a drop of 11.41 percentage points in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 1.85% (Q2 2026), 0.81% (Q1 2026) and 0.47% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 23.46% |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 23.30% |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 82.24% |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 11.61% |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 15.87% |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 11.61% |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 18.56% |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 16.63% |
| 10 | Good Times Restaurants | 13.30 Mn | 1.83 Mn | 147,000.00 | 5.24% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.24% |
| Mar 31, 2026 | 1.78% |
| Dec 30, 2025 | 1.61% |
| Jul 1, 2025 | 2.84% |
| Apr 1, 2025 | 1.98% |
| Dec 31, 2024 | 2.17% |
| Jun 25, 2024 | 2.66% |
| Mar 26, 2024 | 2.07% |
| Dec 26, 2023 | 1.32% |
| Jun 27, 2023 | 2.81% |
| Mar 28, 2023 | -0.23% |
| Dec 27, 2022 | 0.41% |
| Jun 28, 2022 | 3.43% |
| Mar 29, 2022 | 4.31% |
| Dec 28, 2021 | 8.16% |
| Jun 29, 2021 | -8.10% |
| Mar 30, 2021 | -10.86% |
| Dec 29, 2020 | -30.73% |
| Sep 29, 2020 | -31.32% |
| Jun 30, 2020 | -21.31% |
Good Times Restaurants Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=GTIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();