Rave Restaurant (RAVE) Receivables (2011 - 2026)
Rave Restaurant (RAVE) reported Receivables of $1.45 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), up 23.5% from $1.17 million a year earlier but down 13.5% from the prior quarter.
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Analysis
Rave Restaurant (RAVE) Receivables (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Rave Restaurant's Receivables record includes 60 quarters.
- Receivables has a five-year compound annual growth rate of 9.7% (FY2021 to FY2026).
- By fiscal year, Receivables came in at $1.17 million in FY2025 (-22.5%), $1.51 million in FY2024 (+21.4%), $1.25 million in FY2023 (-37.8%) and $2 million in FY2022 (+119.5%).
- Five-year quarterly Receivables spans a low of $832,000 in fiscal Q1 2022 and a high of $2 million in fiscal Q4 2022.
- Year over year, Receivables has now increased in each of the last three quarters, with growth averaging 6.0% over the last eight quarters.
- The high point for year-over-year Receivables in five years was fiscal Q4 2022 (growth of 122.2%); the low point was fiscal Q4 2023 (a decline of 37.8%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $1.67 million (Q3 2026), $1.33 million (Q2 2026) and $1.08 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 1.30 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 100.31 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 623.00 Mn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 129.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 74.14 Mn |
| 10 | Rave Restaurant | 33.40 Mn | -13.67 Mn | - | 1.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.45 Mn |
| Mar 29, 2026 | 1.67 Mn |
| Dec 28, 2025 | 1.33 Mn |
| Sep 28, 2025 | 1.08 Mn |
| Jun 29, 2025 | 1.17 Mn |
| Mar 30, 2025 | 1.22 Mn |
| Dec 29, 2024 | 1.12 Mn |
| Sep 29, 2024 | 1.37 Mn |
| Jun 30, 2024 | 1.51 Mn |
| Mar 24, 2024 | 1.34 Mn |
| Dec 24, 2023 | 1.19 Mn |
| Sep 24, 2023 | 1.07 Mn |
| Jun 25, 2023 | 1.25 Mn |
| Mar 26, 2023 | 1.49 Mn |
| Dec 25, 2022 | 1.28 Mn |
| Sep 25, 2022 | 1.49 Mn |
| Jun 26, 2022 | 2.00 Mn |
| Mar 27, 2022 | 1.18 Mn |
| Dec 26, 2021 | 977,000.00 |
| Sep 26, 2021 | 832,000.00 |
API Access
Rave Restaurant Receivables 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=receivables&ticker=RAVE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=RAVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();