Rave Restaurant (RAVE) Other Operating Expenses (2009 - 2026)
Rave Restaurant (RAVE) recorded Other Operating Expenses of $876,000 in fiscal Q4 2026 (quarter ended Jun 28, 2026), up 3.3% from $848,000 a year earlier and up 9.8% from the prior quarter.
Rave Restaurant (RAVE) Other Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Rave Restaurant reported Other Operating Expenses of $3.54 million, down 0.6% from FY2025.
- Annual Other Operating Expenses has declined for three straight fiscal years, though with a five-year compound annual growth rate of 3.0% (FY2021 to FY2026).
- Across earlier fiscal years, Other Operating Expenses came in at $3.56 million in FY2025 (-9.8%), $3.94 million in FY2024 (-7.2%), $4.25 million in FY2023 (+18.5%) and $3.59 million in FY2022 (+17.6%).
- Quarterly Other Operating Expenses has ranged from $767,000 in fiscal Q3 2022 to $1.26 million in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Other Operating Expenses rose in three of the last eight quarters, with an average decline of 4.7%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 48.6% in fiscal Q3 2022, against a decline of 20.1% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $798,000 (Q3 2026), $781,000 (Q2 2026) and $1.08 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn |
| 10 | Rave Restaurant | 29.93 Mn | -21.41 Mn | 165,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 1.14 Mn |
| Jun 28, 2026 | 876,000.00 |
| Mar 29, 2026 | 798,000.00 |
| Dec 28, 2025 | 781,000.00 |
| Sep 28, 2025 | 1.08 Mn |
| Jun 29, 2025 | 848,000.00 |
| Mar 30, 2025 | 798,000.00 |
| Dec 29, 2024 | 788,000.00 |
| Sep 29, 2024 | 1.02 Mn |
| Jun 30, 2024 | 993,000.00 |
| Mar 24, 2024 | 836,000.00 |
| Dec 24, 2023 | 748,000.00 |
| Sep 24, 2023 | 1.25 Mn |
| Jun 25, 2023 | 1.02 Mn |
| Mar 26, 2023 | 1.05 Mn |
| Dec 25, 2022 | 925,000.00 |
| Sep 25, 2022 | 1.26 Mn |
| Jun 26, 2022 | 901,000.00 |
| Mar 27, 2022 | 767,000.00 |
| Dec 26, 2021 | 858,000.00 |
Rave Restaurant Other 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=other-operating-expenses&ticker=RAVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=RAVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();