Rave Restaurant (RAVE) Other Accumulated Expenses (2013 - 2026)
Rave Restaurant's Other Accumulated Expenses came in at $64,000 for fiscal Q4 2026 (quarter ended Jun 28, 2026), up 25.5% from $51,000 a year earlier.
Rave Restaurant (RAVE) Other Accumulated Expenses (2013 - 2026) Analysis & Trends
Going back to fiscal Q4 2013, Rave Restaurant's Other Accumulated Expenses data covers 16 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -13.2% (FY2021 to FY2026).
- Going back by fiscal year, Other Accumulated Expenses was $51,000 in FY2025 (+200.0%), $17,000 in FY2024 (-19.0%), $21,000 in FY2023 (-82.2%) and $118,000 in FY2022 (-9.2%).
- The fiscal Q4 2026 figure represents the highest quarterly Other Accumulated Expenses since fiscal Q4 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - |
| 10 | Rave Restaurant | 32.83 Mn | -14.24 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 64,000.00 |
| Jun 29, 2025 | 51,000.00 |
| Jun 30, 2024 | 17,000.00 |
| Jun 25, 2023 | 21,000.00 |
| Mar 26, 2023 | 1,000.00 |
| Dec 25, 2022 | 1,000.00 |
| Jun 26, 2022 | 118,000.00 |
| Mar 27, 2022 | 46,000.00 |
| Dec 26, 2021 | 46,000.00 |
| Sep 26, 2021 | 46,000.00 |
| Jun 27, 2021 | 130,000.00 |
| Jun 28, 2020 | 236,000.00 |
| Jun 30, 2019 | 478,000.00 |
| Jun 24, 2018 | 404,000.00 |
| Jun 29, 2014 | 244,000.00 |
| Jun 30, 2013 | 243,000.00 |
Rave Restaurant Other Accumulated 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-accumulated-expenses&ticker=RAVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=RAVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();