Nvidia (NVDA) Total Current Liabilities (2009 - 2026)
Nvidia (NVDA) reported Total Current Liabilities of $43.02 billion for fiscal Q2 2027 (quarter ended Jul 26, 2026), up 77.3% from $24.26 billion a year earlier but down 2.0% from the prior quarter.
Nvidia (NVDA) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 25, 2026), Nvidia posted Total Current Liabilities of $32.16 billion, up 78.2% from FY2025.
- Total Current Liabilities has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 52.3% (FY2021 to FY2026).
- By fiscal year, Total Current Liabilities came in at $18.05 billion in FY2025 (+69.8%), $10.63 billion in FY2024 (+62.0%), $6.56 billion in FY2023 (+51.4%) and $4.34 billion in FY2022 (+10.4%).
- Five-year quarterly Total Current Liabilities spans a low of $3.61 billion in fiscal Q3 2022 and a high of $43.88 billion in fiscal Q1 2027.
- Year over year, Total Current Liabilities has now increased in each of the last 19 quarters, with growth averaging 72.2% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q1 2025 (growth of 109.7%); the low point was fiscal Q3 2022 (a decline of 1.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $43.88 billion (Q1 2027), $32.16 billion (Q4 2026) and $26.08 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 39.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 61.78 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 43.02 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 20.84 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 27.48 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 14.49 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 28.50 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 37.40 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 11.58 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | 7.31 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 43.02 Bn |
| Apr 26, 2026 | 43.88 Bn |
| Jan 25, 2026 | 32.16 Bn |
| Oct 26, 2025 | 26.08 Bn |
| Jul 27, 2025 | 24.26 Bn |
| Apr 27, 2025 | 26.54 Bn |
| Jan 26, 2025 | 18.05 Bn |
| Oct 27, 2024 | 16.48 Bn |
| Jul 28, 2024 | 13.97 Bn |
| Apr 28, 2024 | 15.22 Bn |
| Jan 28, 2024 | 10.63 Bn |
| Oct 29, 2023 | 9.10 Bn |
| Jul 30, 2023 | 10.33 Bn |
| Apr 30, 2023 | 7.26 Bn |
| Jan 29, 2023 | 6.56 Bn |
| Oct 30, 2022 | 6.86 Bn |
| Jul 31, 2022 | 7.57 Bn |
| May 1, 2022 | 5.56 Bn |
| Jan 30, 2022 | 4.34 Bn |
| Oct 31, 2021 | 3.61 Bn |
Nvidia Total Current 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-current-liabilities&ticker=NVDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=NVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();