Rave Restaurant (RAVE) Other Operating Expenses (2010 - 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.
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Analysis
Rave Restaurant (RAVE) Other Operating Expenses (2010 - 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 Set
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 | Rave Restaurant | 32.69 Mn | -14.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 | 891,000.00 |
| Sep 29, 2024 | 1.02 Mn |
| Jun 30, 2024 | 993,000.00 |
| Mar 24, 2024 | 836,000.00 |
| Dec 24, 2023 | 865,000.00 |
| 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 |
| Sep 26, 2021 | 1.06 Mn |
API Access
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_KEYimport 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();