Rave Restaurant (RAVE) Change in Accured Expenses (2010 - 2026)
Rave Restaurant's Change in Accured Expenses was $179,000 in fiscal Q4 2026 (quarter ended Jun 28, 2026), down 29.8% from $255,000 a year earlier but up 0.6% from the prior quarter.
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Analysis
Rave Restaurant (RAVE) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Change in Accured Expenses at Rave Restaurant came in at $78,000.
- Change in Accured Expenses shows a five-year compound annual growth rate of -12.1% (FY2021 to FY2026).
- In earlier fiscal years, Change in Accured Expenses was -$60,000 in FY2025, $25,000 in FY2024, -$272,000 in FY2023 and $158,000 in FY2022 (+6.0%).
- Quarterly Change in Accured Expenses has moved between -$959,000 (fiscal Q2 2023) and $333,000 (fiscal Q4 2022) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in two of the last six quarters, with an average decline of 30.3%.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q3 2026 (growth of 74.5%); the worst was fiscal Q1 2026 (a decline of 98.3%).
- Per Business Quant data, RAVE's Change in Accured Expenses in the three fiscal quarters before Q4 2026 was $178,000 (Q3 2026), -$280,000 (Q2 2026) and $1,000 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | - | 100.69 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 4.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | -8.00 Mn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | -51.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -8.00 Mn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 107.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 15.18 Mn |
| 10 | Rave Restaurant | 32.83 Mn | -14.24 Mn | - | 179,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 179,000.00 |
| Mar 29, 2026 | 178,000.00 |
| Dec 28, 2025 | -280,000.00 |
| Sep 28, 2025 | 1,000.00 |
| Jun 29, 2025 | 255,000.00 |
| Mar 30, 2025 | 102,000.00 |
| Dec 29, 2024 | -476,000.00 |
| Sep 29, 2024 | 59,000.00 |
| Jun 30, 2024 | 242,000.00 |
| Mar 24, 2024 | 225,000.00 |
| Dec 24, 2023 | -723,000.00 |
| Sep 24, 2023 | 281,000.00 |
| Jun 25, 2023 | 143,000.00 |
| Mar 26, 2023 | 260,000.00 |
| Dec 25, 2022 | -959,000.00 |
| Sep 25, 2022 | 284,000.00 |
| Jun 26, 2022 | 333,000.00 |
| Mar 27, 2022 | 219,000.00 |
| Dec 26, 2021 | 30,000.00 |
| Sep 26, 2021 | -424,000.00 |
API Access
Rave Restaurant Change in Accured 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=change-in-accured-expenses&ticker=RAVE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=RAVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();