Rave Restaurant (RAVE) Total Current Liabilities (2011 - 2026)
Rave Restaurant (RAVE) recorded Total Current Liabilities of $1.69 million in fiscal Q4 2026 (quarter ended Jun 28, 2026), down 2.7% from $1.74 million a year earlier but up 1.7% from the prior quarter.
Rave Restaurant (RAVE) Total Current Liabilities (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Rave Restaurant's Total Current Liabilities history includes 60 quarters.
- Annual Total Current Liabilities has declined for five straight fiscal years, with a five-year compound annual growth rate of -17.9% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $1.74 million in FY2025 (-13.8%), $2.02 million in FY2024 (-8.1%), $2.2 million in FY2023 (-23.9%) and $2.89 million in FY2022 (-36.2%).
- Quarterly Total Current Liabilities has ranged from $1.44 million in fiscal Q2 2025 to $3.89 million in fiscal Q1 2022 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in two of the last eight quarters, with an average decline of 9.4%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 65.2% in fiscal Q2 2022, against a decline of 50.1% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.66 million (Q3 2026), $1.53 million (Q2 2026) and $1.62 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.50 Bn | 169.32 Bn | 6.42 Bn | 4.02 Bn |
| 2 | Starbucks | 113.12 Bn | 100.74 Bn | - | 9.92 Bn |
| 3 | Yum Brands | 41.68 Bn | 38.56 Bn | 1.47 Bn | 4.29 Bn |
| 4 | Chipotle Mexican Grill | 37.78 Bn | 33.76 Bn | - | 1.32 Bn |
| 5 | Restaurant Brands International | 26.16 Bn | 21.71 Bn | 1.38 Bn | 2.31 Bn |
| 6 | Darden Restaurants | 24.73 Bn | 23.83 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.31 Bn |
| 8 | Yum China Holdings | 15.70 Bn | 9.35 Bn | 537.00 Mn | 2.44 Bn |
| 9 | Texas Roadhouse | 11.11 Bn | 10.45 Bn | - | 790.79 Mn |
| 10 | Rave Restaurant | 31.98 Mn | -15.09 Mn | - | 1.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.69 Mn |
| Mar 29, 2026 | 1.66 Mn |
| Dec 28, 2025 | 1.53 Mn |
| Sep 28, 2025 | 1.62 Mn |
| Jun 29, 2025 | 1.74 Mn |
| Mar 30, 2025 | 1.58 Mn |
| Dec 29, 2024 | 1.44 Mn |
| Sep 29, 2024 | 2.00 Mn |
| Jun 30, 2024 | 2.02 Mn |
| Mar 24, 2024 | 1.94 Mn |
| Dec 24, 2023 | 1.70 Mn |
| Sep 24, 2023 | 2.42 Mn |
| Jun 25, 2023 | 2.20 Mn |
| Mar 26, 2023 | 2.04 Mn |
| Dec 25, 2022 | 1.86 Mn |
| Sep 25, 2022 | 3.04 Mn |
| Jun 26, 2022 | 2.89 Mn |
| Mar 27, 2022 | 2.38 Mn |
| Dec 26, 2021 | 3.72 Mn |
| Sep 26, 2021 | 3.89 Mn |
Rave Restaurant Total Current 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-current-liabilities&ticker=RAVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=RAVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();