Rambus (RMBS) Other Operating Expenses (2009 - 2024)
Rambus (RMBS) posted Other Operating Expenses of $49.36 million for Q3 2026, down 0.3% from $49.51 million a year earlier and down 3.4% from the prior quarter.
Rambus (RMBS) Other Operating Expenses (2009 - 2024) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Other Operating Expenses at Rambus was $199.93 million, up 9.7% year-over-year; for FY2025, it was $187.71 million, up 18.5% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In prior years, Rambus' Other Operating Expenses was $158.34 million in FY2024 (+107.0%), $76.49 million in FY2023 (-53.2%), $163.55 million in FY2022 (+15.0%) and $142.2 million in FY2021 (+2.2%).
- Quarterly Other Operating Expenses has run from a low of -$58.88 million in Q3 2023 to a high of $51.1 million in Q2 2026 over five years.
- On a year-over-year basis, Other Operating Expenses increased in seven of the last eight quarters, with growth averaging 15.1%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q2 2023, with growth of 41.8%; the weakest was Q1 2024, with a decline of 22.2%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $51.1 million (Q2 2026), $50.23 million (Q1 2026) and $49.25 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Rambus | 353.95 Mn | -2.80 Bn | 170.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -4.54 Mn |
| Jun 30, 2024 | -1.20 Mn |
| Mar 31, 2024 | 700,000.00 |
| Dec 31, 2023 | 1.10 Mn |
| Sep 30, 2023 | -5.67 Mn |
| Jun 30, 2023 | 6.90 Mn |
| Mar 31, 2023 | 6.90 Mn |
| Dec 31, 2022 | 5.00 Mn |
| Sep 30, 2022 | 2.41 Mn |
| Jun 30, 2022 | -5.50 Mn |
| Mar 31, 2022 | 1.20 Mn |
| Dec 31, 2021 | 5.30 Mn |
| Mar 31, 2020 | -1.80 Mn |
| Sep 30, 2018 | 11.33 Mn |
| Jun 30, 2018 | 15.29 Mn |
| Mar 31, 2018 | 16.48 Mn |
| Dec 31, 2016 | -6.85 Mn |
| Jun 30, 2016 | 138,000.00 |
| Mar 31, 2016 | 441,000.00 |
| Dec 31, 2015 | 510,000.00 |
Rambus Other Operating 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-operating-expenses&ticker=RMBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=RMBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();