Good Times Restaurants (GTIM) EV to FCF (2020 - 2026)
Good Times Restaurants' (GTIM) EV to FCF was 4.60 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 10.9% from the prior quarter.
Good Times Restaurants (GTIM) EV to FCF (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Good Times Restaurants' EV to FCF came in at 1.30; for FY2024 (ended Sep 24, 2024), it was 14.05, up 47.3% from FY2023.
- By fiscal year, EV to FCF came in at 9.54 in FY2023 (+32.0%), 7.23 in FY2022 (-24.2%) and 9.54 in FY2021.
- The fiscal Q3 2026 figure ranks as the lowest quarterly EV to FCF in data going back to fiscal Q1 2021.
- The high point for year-over-year EV to FCF in five years was fiscal Q2 2024 (growth of 431.3%); the low point was fiscal Q1 2026 (a decline of 82.2%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | Good Times Restaurants | 15.84 Mn | 4.36 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.60 |
| Mar 31, 2026 | 5.17 |
| Dec 30, 2025 | 5.97 |
| Dec 31, 2024 | 33.49 |
| Sep 24, 2024 | 14.05 |
| Jun 25, 2024 | 5.76 |
| Mar 26, 2024 | 26.08 |
| Dec 26, 2023 | 7.63 |
| Sep 26, 2023 | 9.54 |
| Jun 27, 2023 | 26.18 |
| Mar 28, 2023 | 4.91 |
| Dec 27, 2022 | 9.86 |
| Sep 27, 2022 | 7.23 |
| Jun 28, 2022 | 7.67 |
| Mar 29, 2022 | 9.77 |
| Dec 28, 2021 | 9.55 |
| Sep 28, 2021 | 9.54 |
| Jun 29, 2021 | 8.84 |
| Mar 30, 2021 | 21.03 |
| Dec 29, 2020 | 42.35 |
Good Times Restaurants EV to FCF 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=ev-to-fcf&ticker=GTIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();