Rambus (RMBS) Total Liabilities (2009 - 2026)
Rambus (RMBS) posted Total Liabilities of $140.5 million for Q3 2026, up 19.2% from $117.87 million a year earlier but down 3.5% 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 increased in four of the last eight quarters, with an average decline of 14.5%.
- 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 $145.67 million (Q2 2026), $139.91 million (Q1 2026) and $165.12 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 55.89 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 95.92 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 91.29 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 88.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 57.51 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 26.42 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 36.36 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 97.02 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 19.29 Bn |
| 10 | Rambus | 353.95 Mn | -2.80 Bn | 170.91 Mn | 140.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 140.50 Mn |
| 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 |
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();