Rambus (RMBS) Other Accumulated Expenses (2009 - 2026)
Rambus' Other Accumulated Expenses came in at $10.15 million for Q2 2026, up 95.0% from $5.21 million a year earlier and up 122.2% from the prior quarter.
Rambus (RMBS) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Rambus' Other Accumulated Expenses was $11.44 million, up 12.8% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -9.2% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $10.14 million in FY2024 (-61.9%), $26.6 million in FY2023 (+10.9%), $23.99 million in FY2022 (+19.9%) and $20 million in FY2021 (+7.8%).
- The five-year range for quarterly Other Accumulated Expenses is $3.86 million (Q3 2025) to $27.73 million (Q2 2023).
- Year-over-year, Other Accumulated Expenses increased in two of the last eight quarters, with an average decline of 29.9%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q2 2026 (growth of 95.0%), and the weakest in Q2 2025 (a decline of 74.9%).
- Business Quant data shows RMBS's Other Accumulated Expenses at $4.57 million (Q1 2026), $11.44 million (Q4 2025) and $3.86 million (Q3 2025) in the three quarters before Q2 2026.
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 | 10.15 Mn |
| Mar 31, 2026 | 4.57 Mn |
| Dec 31, 2025 | 11.44 Mn |
| Sep 30, 2025 | 3.86 Mn |
| Jun 30, 2025 | 5.21 Mn |
| Mar 31, 2025 | 6.20 Mn |
| Dec 31, 2024 | 10.14 Mn |
| Sep 30, 2024 | 14.88 Mn |
| Jun 30, 2024 | 20.76 Mn |
| Mar 31, 2024 | 20.13 Mn |
| Dec 31, 2023 | 26.60 Mn |
| Sep 30, 2023 | 25.17 Mn |
| Jun 30, 2023 | 27.73 Mn |
| Mar 31, 2023 | 21.35 Mn |
| Dec 31, 2022 | 23.99 Mn |
| Sep 30, 2022 | 20.09 Mn |
| Jun 30, 2022 | 22.44 Mn |
| Mar 31, 2022 | 14.11 Mn |
| Dec 31, 2021 | 20.00 Mn |
| Sep 30, 2021 | 19.30 Mn |
Rambus Other Accumulated Expenses 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=other-accumulated-expenses&ticker=RMBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=RMBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();