Rambus (RMBS) Amortization - Intangibles (2019 - 2026)
Rambus (RMBS) posted Amortization - Intangibles of $1.62 million for Q2 2026, down 5.9% from $1.72 million a year earlier and down 3.3% from the prior quarter.
Rambus (RMBS) Amortization - Intangibles (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Rambus was $6.74 million, down 21.0% year-over-year; for FY2025, it came in at $6.88 million, down 38.6% from FY2024.
- Annual Amortization - Intangibles has declined for five consecutive years, with a five-year compound annual growth rate of -16.9% (FY2020 to FY2025).
- In prior years, Rambus' Amortization - Intangibles was $11.2 million in FY2024 (-17.2%), $13.52 million in FY2023 (-2.9%), $13.94 million in FY2022 (-14.2%) and $16.24 million in FY2021 (-6.4%).
- The Q2 2026 figure stands as the lowest quarterly Amortization - Intangibles in data going back to Q1 2019.
- On a year-over-year basis, Amortization - Intangibles has declined in each of the last 12 quarters, with an average decline of 25.0% over the last eight quarters.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q1 2023, with growth of 5.4%; the weakest was Q1 2025, with a decline of 43.9%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $1.68 million (Q1 2026), $1.72 million (Q4 2025) and $1.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Rambus | 12.14 Bn | 9.58 Bn | 165.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.62 Mn |
| Mar 31, 2026 | 1.68 Mn |
| Dec 31, 2025 | 1.72 Mn |
| Sep 30, 2025 | 1.72 Mn |
| Jun 30, 2025 | 1.72 Mn |
| Mar 31, 2025 | 1.71 Mn |
| Dec 31, 2024 | 2.30 Mn |
| Sep 30, 2024 | 2.80 Mn |
| Jun 30, 2024 | 3.05 Mn |
| Mar 31, 2024 | 3.06 Mn |
| Dec 31, 2023 | 3.05 Mn |
| Sep 30, 2023 | 3.35 Mn |
| Jun 30, 2023 | 3.56 Mn |
| Mar 31, 2023 | 3.56 Mn |
| Dec 31, 2022 | 3.56 Mn |
| Sep 30, 2022 | 3.58 Mn |
| Jun 30, 2022 | 3.42 Mn |
| Mar 31, 2022 | 3.38 Mn |
| Dec 31, 2021 | 3.60 Mn |
| Sep 30, 2021 | 3.81 Mn |
Rambus Amortization - 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=amortization-intangibles&ticker=RMBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "RMBS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=RMBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();