Broadcom (AVGO) Buildings (2017 - 2025)
Broadcom (AVGO) reported Buildings of $1.49 billion for fiscal Q4 2025 (quarter ended Nov 2, 2025), down 2.0% from $1.52 billion a year earlier.
Analysis
Broadcom (AVGO) Buildings (2017 - 2025) Analysis & Trends
Dating back to fiscal Q4 2017, Broadcom's Buildings record includes 9 quarters.
- Buildings has a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- By fiscal year, Buildings came in at $1.52 billion in FY2024 (+28.5%), $1.18 billion in FY2023 (+2.2%), $1.16 billion in FY2022 (+0.5%) and $1.15 billion in FY2021 (+1.5%).
- The fiscal Q4 2025 figure ranks as the lowest quarterly Buildings since fiscal Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,084.14 Bn | 4,858.30 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,168.94 Bn | 1,795.12 Bn | 27.22 Bn |
| 3 | Broadcom | 1,535.70 Bn | 1,461.75 Bn | 20.46 Bn |
| 4 | Micron Technology | 992.51 Bn | 898.15 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 843.40 Bn | 800.15 Bn | 6.20 Bn |
| 6 | Asml Holding | 605.80 Bn | 561.49 Bn | 5.90 Bn |
| 7 | Intel | 438.54 Bn | 323.27 Bn | 6.51 Bn |
| 8 | Applied Materials | 299.38 Bn | 264.82 Bn | 4.59 Bn |
| 9 | Lam Research | 287.43 Bn | 263.48 Bn | 4.30 Bn |
| 10 | Texas Instruments | 260.14 Bn | 235.01 Bn | 3.89 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 2, 2025 | 1.49 Bn |
| Nov 3, 2024 | 1.52 Bn |
| Oct 29, 2023 | 1.18 Bn |
| Oct 30, 2022 | 1.16 Bn |
| Oct 31, 2021 | 1.15 Bn |
| Nov 1, 2020 | 1.13 Bn |
| Nov 3, 2019 | 1.08 Bn |
| Nov 4, 2018 | 1.02 Bn |
| Oct 29, 2017 | 579.00 Mn |
API Access
Broadcom Buildings 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=buildings&ticker=AVGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=AVGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();