Rave Restaurant (RAVE) Operating Expenses (2010 - 2026)
Rave Restaurant's Operating Expenses was $2.41 million in fiscal Q4 2026 (quarter ended Jun 28, 2026), up 18.4% from $2.04 million a year earlier and up 6.3% from the prior quarter.
Powered by 
Analysis
Rave Restaurant (RAVE) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Operating Expenses at Rave Restaurant came in at $9.44 million, up 7.3% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 4.0% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $8.79 million in FY2025 (-4.7%), $9.22 million in FY2024 (-5.3%), $9.74 million in FY2023 (+7.8%) and $9.03 million in FY2022 (+16.4%).
- Quarterly Operating Expenses has moved between $2.04 million (fiscal Q4 2025) and $2.61 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Operating Expenses has increased for four straight quarters, with growth averaging 1.6% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q1 2022 (growth of 24.1%); the worst was fiscal Q3 2024 (a decline of 16.7%).
- Per Business Quant data, RAVE's Operating Expenses in the three fiscal quarters before Q4 2026 was $2.27 million (Q3 2026), $2.3 million (Q2 2026) and $2.46 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 8.42 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 2.82 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 1.51 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 1.54 Bn |
| 10 | Rave Restaurant | 33.40 Mn | -13.67 Mn | - | 2.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.41 Mn |
| Mar 29, 2026 | 2.27 Mn |
| Dec 28, 2025 | 2.30 Mn |
| Sep 28, 2025 | 2.46 Mn |
| Jun 29, 2025 | 2.04 Mn |
| Mar 30, 2025 | 2.11 Mn |
| Dec 29, 2024 | 2.21 Mn |
| Sep 29, 2024 | 2.44 Mn |
| Jun 30, 2024 | 2.34 Mn |
| Mar 24, 2024 | 2.11 Mn |
| Dec 24, 2023 | 2.21 Mn |
| Sep 24, 2023 | 2.57 Mn |
| Jun 25, 2023 | 2.22 Mn |
| Mar 26, 2023 | 2.53 Mn |
| Dec 25, 2022 | 2.38 Mn |
| Sep 25, 2022 | 2.61 Mn |
| Jun 26, 2022 | 2.41 Mn |
| Mar 27, 2022 | 2.12 Mn |
| Dec 26, 2021 | 2.24 Mn |
| Sep 26, 2021 | 2.27 Mn |
API Access
Rave Restaurant Operating Expenses 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=operating-expenses&ticker=RAVE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RAVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();