Nvidia (NVDA) Total Liabilities (2009 - 2026)
Nvidia (NVDA) reported Total Liabilities of $91.29 billion for fiscal Q2 2027 (quarter ended Jul 26, 2026), up 124.8% from $40.61 billion a year earlier and up 42.6% from the prior quarter.
Nvidia (NVDA) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 25, 2026), Nvidia posted Total Liabilities of $49.51 billion, up 53.4% from FY2025.
- Total Liabilities has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 33.0% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $32.27 billion in FY2025 (+41.9%), $22.75 billion in FY2024 (+19.2%), $19.08 billion in FY2023 (+8.6%) and $17.58 billion in FY2022 (+47.7%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Total Liabilities in data going back to fiscal Q4 2009.
- Year over year, Total Liabilities has now increased in each of the last 34 quarters, with growth averaging 57.2% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 5.5% (fiscal Q1 2024) and 124.8% (fiscal Q2 2027) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $64 billion (Q1 2027), $49.51 billion (Q4 2026) and $42.25 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 93.12 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 33.39 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | 36.03 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Arm Holdings | 321.38 Bn | 307.09 Bn | 1.25 Bn | 2.57 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 91.29 Bn |
| Apr 26, 2026 | 64.00 Bn |
| Jan 25, 2026 | 49.51 Bn |
| Oct 26, 2025 | 42.25 Bn |
| Jul 27, 2025 | 40.61 Bn |
| Apr 27, 2025 | 41.41 Bn |
| Jan 26, 2025 | 32.27 Bn |
| Oct 27, 2024 | 30.11 Bn |
| Jul 28, 2024 | 27.07 Bn |
| Apr 28, 2024 | 27.93 Bn |
| Jan 28, 2024 | 22.75 Bn |
| Oct 29, 2023 | 20.88 Bn |
| Jul 30, 2023 | 22.05 Bn |
| Apr 30, 2023 | 19.94 Bn |
| Jan 29, 2023 | 19.08 Bn |
| Oct 30, 2022 | 19.14 Bn |
| Jul 31, 2022 | 19.63 Bn |
| May 1, 2022 | 18.89 Bn |
| Jan 30, 2022 | 17.58 Bn |
| Oct 31, 2021 | 16.83 Bn |
Nvidia 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=NVDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "NVDA", "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=NVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();