Rambus (RMBS) Property, Plant & Equipment (Net) (2009 - 2026)
Rambus (RMBS) reported Property, Plant & Equipment (Net) of $114.52 million for Q2 2026, up 7.9% from $106.16 million a year earlier and up 1.1% from the prior quarter.
Rambus (RMBS) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Rambus posted Property, Plant & Equipment (Net) of $113.05 million, up 49.7% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $75.51 million in FY2024 (+11.4%), $67.81 million in FY2023 (-21.4%), $86.3 million in FY2022 (+54.0%) and $56.04 million in FY2021 (-2.9%).
- The Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2009.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last seven quarters, with growth averaging 25.9% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q2 2022 (growth of 63.3%); the low point was Q1 2024 (a decline of 24.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $113.28 million (Q1 2026), $113.05 million (Q4 2025) and $100.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 14.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 136.14 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 3.14 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 56.43 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 3.44 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 9.19 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 105.74 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 2.96 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 5.61 Bn |
| 10 | Rambus | 12.14 Bn | 9.58 Bn | 165.41 Mn | 114.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.52 Mn |
| Mar 31, 2026 | 113.28 Mn |
| Dec 31, 2025 | 113.05 Mn |
| Sep 30, 2025 | 100.42 Mn |
| Jun 30, 2025 | 106.16 Mn |
| Mar 31, 2025 | 81.99 Mn |
| Dec 31, 2024 | 75.51 Mn |
| Sep 30, 2024 | 73.37 Mn |
| Jun 30, 2024 | 74.92 Mn |
| Mar 31, 2024 | 67.28 Mn |
| Dec 31, 2023 | 67.81 Mn |
| Sep 30, 2023 | 73.47 Mn |
| Jun 30, 2023 | 87.17 Mn |
| Mar 31, 2023 | 89.39 Mn |
| Dec 31, 2022 | 86.30 Mn |
| Sep 30, 2022 | 78.56 Mn |
| Jun 30, 2022 | 81.74 Mn |
| Mar 31, 2022 | 54.97 Mn |
| Dec 31, 2021 | 56.04 Mn |
| Sep 30, 2021 | 51.52 Mn |
Rambus Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=RMBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=RMBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();