Rave Restaurant (RAVE) Assets (2011 - 2026)
Rave Restaurant's Assets came in at $19.54 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), up 18.0% from $16.56 million a year earlier and up 5.1% from the prior quarter.
Rave Restaurant (RAVE) Assets (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, Rave Restaurant's Assets data covers 59 quarters.
- Assets has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 7.9% (FY2021 to FY2026).
- Going back by fiscal year, Assets was $16.56 million in FY2025 (+4.7%), $15.82 million in FY2024 (+11.1%), $14.24 million in FY2023 (-23.1%) and $18.52 million in FY2022 (+38.7%).
- The fiscal Q4 2026 figure represents the highest quarterly Assets since fiscal Q3 2016.
- Year-over-year, Assets has increased for 11 consecutive quarters, with growth averaging 10.5% over the last eight quarters.
- The fastest year-over-year change in Assets over five years came in fiscal Q1 2023 (growth of 39.4%), and the weakest in fiscal Q4 2023 (a decline of 23.1%).
- Business Quant data shows RAVE's Assets at $18.58 million (Q3 2026), $17.55 million (Q2 2026) and $17.01 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 59.92 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 28.29 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 8.86 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 8.68 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 25.02 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 12.86 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 25.02 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 10.87 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 3.67 Bn |
| 10 | Rave Restaurant | 33.40 Mn | -13.67 Mn | - | 19.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 19.54 Mn |
| Mar 29, 2026 | 18.58 Mn |
| Dec 28, 2025 | 17.55 Mn |
| Sep 28, 2025 | 17.01 Mn |
| Jun 29, 2025 | 16.56 Mn |
| Mar 30, 2025 | 15.71 Mn |
| Dec 29, 2024 | 16.12 Mn |
| Sep 29, 2024 | 16.29 Mn |
| Jun 30, 2024 | 15.82 Mn |
| Mar 24, 2024 | 14.96 Mn |
| Dec 24, 2023 | 14.16 Mn |
| Sep 24, 2023 | 14.73 Mn |
| Jun 25, 2023 | 14.24 Mn |
| Mar 26, 2023 | 13.49 Mn |
| Dec 25, 2022 | 13.03 Mn |
| Sep 25, 2022 | 17.53 Mn |
| Jun 26, 2022 | 18.52 Mn |
| Mar 27, 2022 | 11.82 Mn |
| Dec 26, 2021 | 12.82 Mn |
| Sep 26, 2021 | 12.58 Mn |
Rave Restaurant Assets 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=assets&ticker=RAVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=RAVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();