Good Times Restaurants (GTIM) Selling, General & Administrative (2010 - 2026)
Good Times Restaurants' Selling, General & Administrative came in at $1.99 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 8.6% from $2.17 million a year earlier and down 9.6% from the prior quarter.
Good Times Restaurants (GTIM) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Good Times Restaurants reported Selling, General & Administrative of $8.63 million, down 14.5% year-over-year; for FY2025 (ended Sep 30, 2025), it was $9.73 million, down 8.0% from FY2024.
- Selling, General & Administrative carries a four-year compound annual growth rate of 0.8% (FY2021 to FY2025).
- Going back by fiscal year, Selling, General & Administrative was $10.58 million in FY2024 (+15.5%), $9.17 million in FY2023 (-12.9%), $10.53 million in FY2022 (+11.6%) and $9.44 million in FY2021.
- The fiscal Q3 2026 figure represents the lowest quarterly Selling, General & Administrative since fiscal Q4 2013.
- Year-over-year, Selling, General & Administrative has declined for five consecutive quarters, with an average decline of 4.2% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in fiscal Q4 2024 (growth of 31.6%), and the weakest in fiscal Q4 2023 (a decline of 26.5%).
- Business Quant data shows GTIM's Selling, General & Administrative at $2.2 million (Q2 2026), $2.06 million (Q1 2026) and $2.39 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 817.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 598.80 Mn |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 190.47 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 324.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 181.00 Mn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 134.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 181.00 Mn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 139.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 72.41 Mn |
| 10 | Good Times Restaurants | 15.84 Mn | 4.36 Mn | - | 1.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.99 Mn |
| Mar 31, 2026 | 2.20 Mn |
| Dec 30, 2025 | 2.06 Mn |
| Sep 30, 2025 | 2.39 Mn |
| Jul 1, 2025 | 2.17 Mn |
| Apr 1, 2025 | 2.58 Mn |
| Dec 31, 2024 | 2.59 Mn |
| Sep 24, 2024 | 2.76 Mn |
| Jun 25, 2024 | 2.69 Mn |
| Mar 26, 2024 | 2.56 Mn |
| Dec 26, 2023 | 2.34 Mn |
| Sep 26, 2023 | 2.10 Mn |
| Jun 27, 2023 | 2.38 Mn |
| Mar 28, 2023 | 2.30 Mn |
| Dec 27, 2022 | 2.38 Mn |
| Sep 27, 2022 | 2.85 Mn |
| Jun 28, 2022 | 2.38 Mn |
| Mar 29, 2022 | 2.58 Mn |
| Dec 28, 2021 | 2.71 Mn |
| Sep 28, 2021 | 2.34 Mn |
Good Times Restaurants Selling, General & Administrative 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=selling-general-and-administrative&ticker=GTIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();