Rambus (RMBS) Total Liabilities (2009 - 2026)
Rambus (RMBS) posted Total Liabilities of $145.67 million for Q2 2026, down 39.3% from $239.83 million a year earlier but up 4.1% from the prior quarter.
Rambus (RMBS) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Rambus' Total Liabilities came in at $165.12 million, down 25.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -13.4% (FY2020 to FY2025).
- In prior years, Rambus' Total Liabilities was $222.44 million in FY2024 (+1.1%), $220.13 million in FY2023 (-5.6%), $233.3 million in FY2022 (-37.0%) and $370.25 million in FY2021 (+9.3%).
- Quarterly Total Liabilities has run from a low of $117.87 million in Q3 2025 to a high of $370.25 million in Q4 2021 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last four quarters, with an average decline of 17.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2024, with growth of 22.1%; the weakest was Q3 2025, with a decline of 44.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $139.91 million (Q1 2026), $165.12 million (Q4 2025) and $117.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 93.12 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 33.39 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 36.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Rambus | 12.14 Bn | 9.58 Bn | 165.41 Mn | 145.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 145.67 Mn |
| Mar 31, 2026 | 139.91 Mn |
| Dec 31, 2025 | 165.12 Mn |
| Sep 30, 2025 | 117.87 Mn |
| Jun 30, 2025 | 239.83 Mn |
| Mar 31, 2025 | 219.53 Mn |
| Dec 31, 2024 | 222.44 Mn |
| Sep 30, 2024 | 212.59 Mn |
| Jun 30, 2024 | 221.73 Mn |
| Mar 31, 2024 | 217.24 Mn |
| Dec 31, 2023 | 220.13 Mn |
| Sep 30, 2023 | 228.77 Mn |
| Jun 30, 2023 | 181.56 Mn |
| Mar 31, 2023 | 200.90 Mn |
| Dec 31, 2022 | 233.30 Mn |
| Sep 30, 2022 | 219.17 Mn |
| Jun 30, 2022 | 272.76 Mn |
| Mar 31, 2022 | 267.75 Mn |
| Dec 31, 2021 | 370.25 Mn |
| Sep 30, 2021 | 354.82 Mn |
Rambus Total Liabilities 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=total-liabilities&ticker=RMBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RMBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();