Rave Restaurant (RAVE) Selling, General & Administrative (2010 - 2026)
Rave Restaurant (RAVE) reported Selling, General & Administrative of $1.53 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), up 29.1% from $1.19 million a year earlier and up 4.4% from the prior quarter.
Rave Restaurant (RAVE) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Rave Restaurant posted Selling, General & Administrative of $5.9 million, up 12.7% from FY2025.
- Selling, General & Administrative has a five-year compound annual growth rate of 4.6% (FY2021 to FY2026).
- By fiscal year, Selling, General & Administrative came in at $5.23 million in FY2025 (-0.8%), $5.28 million in FY2024 (-3.9%), $5.49 million in FY2023 (+0.8%) and $5.45 million in FY2022 (+15.6%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Selling, General & Administrative since fiscal Q3 2020.
- Year over year, Selling, General & Administrative has now increased in each of the last three quarters, with growth averaging 6.3% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q4 2026 (growth of 29.1%); the low point was fiscal Q4 2023 (a decline of 19.8%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $1.47 million (Q3 2026), $1.52 million (Q2 2026) and $1.38 million (Q1 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 | Rave Restaurant | 32.83 Mn | -14.24 Mn | - | 1.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.53 Mn |
| Mar 29, 2026 | 1.47 Mn |
| Dec 28, 2025 | 1.52 Mn |
| Sep 28, 2025 | 1.38 Mn |
| Jun 29, 2025 | 1.19 Mn |
| Mar 30, 2025 | 1.31 Mn |
| Dec 29, 2024 | 1.31 Mn |
| Sep 29, 2024 | 1.42 Mn |
| Jun 30, 2024 | 1.35 Mn |
| Mar 24, 2024 | 1.27 Mn |
| Dec 24, 2023 | 1.34 Mn |
| Sep 24, 2023 | 1.32 Mn |
| Jun 25, 2023 | 1.21 Mn |
| Mar 26, 2023 | 1.49 Mn |
| Dec 25, 2022 | 1.45 Mn |
| Sep 25, 2022 | 1.34 Mn |
| Jun 26, 2022 | 1.51 Mn |
| Mar 27, 2022 | 1.36 Mn |
| Dec 26, 2021 | 1.38 Mn |
| Sep 26, 2021 | 1.21 Mn |
Rave Restaurant 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=RAVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "RAVE", "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=RAVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();