Broadcom (AVGO) Total Liabilities (2017 - 2026)
Broadcom (AVGO) recorded Total Liabilities of $88.46 billion in fiscal Q3 2026 (quarter ended Aug 2, 2026), down 4.2% from $92.34 billion a year earlier and down 3.3% from the prior quarter.
Broadcom (AVGO) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 2, 2025), Broadcom reported Total Liabilities of $89.8 billion, down 8.3% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $97.97 billion in FY2024 (+100.5%), $48.87 billion in FY2023 (-3.3%), $50.54 billion in FY2022 (-0.1%) and $50.61 billion in FY2021 (-2.8%).
- The fiscal Q3 2026 figure is the lowest quarterly Total Liabilities since fiscal Q4 2023.
- On a year-over-year basis, Total Liabilities has declined for seven consecutive quarters, with growth averaging 6.0% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 116.6% in fiscal Q1 2024, against a decline of 11.2% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $91.47 billion (Q2 2026), $90.03 billion (Q1 2026) and $89.8 billion (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 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | 12.44 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 88.46 Bn |
| May 3, 2026 | 91.47 Bn |
| Feb 1, 2026 | 90.03 Bn |
| Nov 2, 2025 | 89.80 Bn |
| Aug 3, 2025 | 92.34 Bn |
| May 4, 2025 | 95.04 Bn |
| Feb 2, 2025 | 95.57 Bn |
| Nov 3, 2024 | 97.97 Bn |
| Aug 4, 2024 | 102.32 Bn |
| May 5, 2024 | 105.25 Bn |
| Feb 4, 2024 | 107.59 Bn |
| Oct 29, 2023 | 48.87 Bn |
| Jul 30, 2023 | 49.52 Bn |
| Apr 30, 2023 | 49.66 Bn |
| Jan 29, 2023 | 49.67 Bn |
| Oct 30, 2022 | 50.54 Bn |
| Jul 31, 2022 | 50.45 Bn |
| May 1, 2022 | 50.76 Bn |
| Jan 30, 2022 | 50.26 Bn |
| Oct 31, 2021 | 50.61 Bn |
Broadcom 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=AVGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AVGO", "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=AVGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();