Rave Restaurant (RAVE) Total Liabilities (2011 - 2026)
Rave Restaurant (RAVE) reported Total Liabilities of $2.21 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), down 8.2% from $2.4 million a year earlier but up 3.4% from the prior quarter.
Rave Restaurant (RAVE) Total Liabilities (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Rave Restaurant's Total Liabilities record includes 58 quarters.
- Total Liabilities has declined for six consecutive fiscal years, with a five-year compound annual growth rate of -21.9% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $2.4 million in FY2025 (-22.9%), $3.12 million in FY2024 (-19.0%), $3.85 million in FY2023 (-24.6%) and $5.1 million in FY2022 (-32.9%).
- Five-year quarterly Total Liabilities spans a low of $2.01 million in fiscal Q2 2026 and a high of $6.52 million in fiscal Q1 2022.
- Year over year, Total Liabilities has now declined in each of the last 22 quarters, with an average decline of 19.2% over the last eight quarters.
- The year-over-year decline in Total Liabilities has ranged between 8.2% (fiscal Q4 2026) and 39.8% (fiscal Q2 2023) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $2.13 million (Q3 2026), $2.01 million (Q2 2026) and $2.17 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.50 Bn | 169.32 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 113.12 Bn | 100.74 Bn | - | 35.97 Bn |
| 3 | Yum Brands | 41.68 Bn | 38.56 Bn | 1.47 Bn | 15.79 Bn |
| 4 | Chipotle Mexican Grill | 37.78 Bn | 33.76 Bn | - | 6.66 Bn |
| 5 | Restaurant Brands International | 26.16 Bn | 21.71 Bn | 1.38 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 24.73 Bn | 23.83 Bn | 1.68 Bn | 11.16 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 15.70 Bn | 9.35 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 11.11 Bn | 10.45 Bn | - | 2.09 Bn |
| 10 | Rave Restaurant | 31.98 Mn | -15.09 Mn | - | 2.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.21 Mn |
| Mar 29, 2026 | 2.13 Mn |
| Dec 28, 2025 | 2.01 Mn |
| Sep 28, 2025 | 2.17 Mn |
| Jun 29, 2025 | 2.40 Mn |
| Mar 30, 2025 | 2.36 Mn |
| Dec 29, 2024 | 2.34 Mn |
| Sep 29, 2024 | 2.98 Mn |
| Jun 30, 2024 | 3.12 Mn |
| Mar 24, 2024 | 3.16 Mn |
| Dec 24, 2023 | 3.06 Mn |
| Sep 24, 2023 | 3.87 Mn |
| Jun 25, 2023 | 3.85 Mn |
| Mar 26, 2023 | 3.82 Mn |
| Dec 25, 2022 | 3.77 Mn |
| Sep 25, 2022 | 5.11 Mn |
| Jun 26, 2022 | 5.10 Mn |
| Mar 27, 2022 | 4.72 Mn |
| Dec 26, 2021 | 6.26 Mn |
| Sep 26, 2021 | 6.52 Mn |
Rave Restaurant Total Liabilities 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=total-liabilities&ticker=RAVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RAVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();