Rave Restaurant (RAVE) Amortizatization of Intangibles (2017 - 2026)
Rave Restaurant's Amortizatization of Intangibles came in at $20,000 for fiscal Q4 2026 (quarter ended Jun 28, 2026), unchanged from $20,000 a year earlier and down 4.8% from the prior quarter.
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Analysis
Rave Restaurant (RAVE) Amortizatization of Intangibles (2017 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Rave Restaurant's Amortizatization of Intangibles was $82,000, up 1.2% from FY2025.
- Amortizatization of Intangibles carries a five-year compound annual growth rate of 17.9% (FY2021 to FY2026).
- Going back by fiscal year, Amortizatization of Intangibles was $81,000 in FY2025 (-3.6%), $84,000 in FY2024 (+15.1%), $73,000 in FY2023 (+55.3%) and $47,000 in FY2022 (+30.6%).
- The five-year range for quarterly Amortizatization of Intangibles is $8,000 (fiscal Q1 2022) to $21,000 (fiscal Q3 2026).
- Year-over-year, Amortizatization of Intangibles increased in two of the last eight quarters, with an average decline of 1.1%.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in fiscal Q2 2022 (growth of 140.0%), and the weakest in fiscal Q1 2022 (a decline of 11.1%).
- Business Quant data shows RAVE's Amortizatization of Intangibles at $21,000 (Q3 2026), $20,000 (Q2 2026) and $21,000 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (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 | - | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | - |
| 10 | Rave Restaurant | 32.83 Mn | -14.24 Mn | - | 20,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 20,000.00 |
| Mar 29, 2026 | 21,000.00 |
| Dec 28, 2025 | 20,000.00 |
| Sep 28, 2025 | 21,000.00 |
| Jun 29, 2025 | 20,000.00 |
| Mar 30, 2025 | 20,000.00 |
| Dec 29, 2024 | 21,000.00 |
| Sep 29, 2024 | 20,000.00 |
| Jun 30, 2024 | 21,000.00 |
| Mar 24, 2024 | 21,000.00 |
| Dec 24, 2023 | 21,000.00 |
| Sep 24, 2023 | 21,000.00 |
| Jun 25, 2023 | 20,000.00 |
| Mar 26, 2023 | 19,000.00 |
| Dec 25, 2022 | 18,000.00 |
| Sep 25, 2022 | 16,000.00 |
| Jun 26, 2022 | 14,000.00 |
| Mar 27, 2022 | 13,000.00 |
| Dec 26, 2021 | 12,000.00 |
| Sep 26, 2021 | 8,000.00 |
API Access
Rave Restaurant Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=RAVE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=RAVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();