Broadcom (AVGO) Change in Accrued Expenses (2017 - 2026)
Broadcom (AVGO) reported Change in Accrued Expenses of $372 million for fiscal Q3 2026 (quarter ended Aug 2, 2026), down 27.2% from $511 million a year earlier but up 37.8% from the prior quarter.
Broadcom (AVGO) Change in Accrued Expenses (2017 - 2026) Analysis & Trends
Over the twelve months ended Aug 2, 2026, Broadcom's Change in Accrued Expenses came in at -$209 million; for FY2025 (ended Nov 2, 2025), it was $300 million, up 284.6% from FY2024.
- Change in Accrued Expenses has a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- By fiscal year, Change in Accrued Expenses came in at $78 million in FY2024, -$279 million in FY2023, $136 million in FY2022 (-26.9%) and $186 million in FY2021 (-14.3%).
- Five-year quarterly Change in Accrued Expenses spans a low of -$1.26 billion in fiscal Q1 2026 and a high of $511 million in fiscal Q3 2025.
- Year over year, Change in Accrued Expenses gained in four of the last six quarters, with growth averaging 42.7%.
- The high point for year-over-year Change in Accrued Expenses in five years was fiscal Q2 2024 (growth of 175.8%); the low point was fiscal Q2 2023 (a decline of 57.7%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $270 million (Q2 2026), -$1.26 billion (Q1 2026) and $410 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 252.00 Mn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 157.82 Mn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 372.00 Mn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 5.38 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 323.00 Mn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 165.00 Mn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 633.00 Mn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 135.00 Mn |
| 10 | Lam Research | 251.05 Bn | 227.10 Bn | 4.30 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 372.00 Mn |
| May 3, 2026 | 270.00 Mn |
| Feb 1, 2026 | -1.26 Bn |
| Nov 2, 2025 | 410.00 Mn |
| Aug 3, 2025 | 511.00 Mn |
| May 4, 2025 | 287.00 Mn |
| Feb 2, 2025 | -908.00 Mn |
| Nov 3, 2024 | 196.00 Mn |
| Aug 4, 2024 | 291.00 Mn |
| May 5, 2024 | 251.00 Mn |
| Feb 4, 2024 | -660.00 Mn |
| Oct 29, 2023 | 103.00 Mn |
| Jul 30, 2023 | 184.00 Mn |
| Apr 30, 2023 | 91.00 Mn |
| Jan 29, 2023 | -657.00 Mn |
| Oct 30, 2022 | 128.00 Mn |
| Jul 31, 2022 | 321.00 Mn |
| May 1, 2022 | 215.00 Mn |
| Jan 30, 2022 | -528.00 Mn |
| Oct 31, 2021 | 172.00 Mn |
Broadcom Change in Accrued Expenses 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=change-in-accured-expenses&ticker=AVGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=AVGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();