Agilent Technologies (A) Buildings (2009 - 2025)
Agilent Technologies (A) reported Buildings of $2.06 billion for fiscal Q4 2025 (quarter ended Oct 31, 2025), up 15.1% from $1.79 billion a year earlier.
Analysis
Agilent Technologies (A) Buildings (2009 - 2025) Analysis & Trends
Dating back to fiscal Q4 2009, Agilent Technologies' Buildings record includes 17 quarters.
- Buildings has increased for ten consecutive fiscal years, with a five-year compound annual growth rate of 14.3% (FY2020 to FY2025).
- By fiscal year, Buildings came in at $1.79 billion in FY2024 (+26.8%), $1.41 billion in FY2023 (+12.3%), $1.26 billion in FY2022 (+9.4%) and $1.15 billion in FY2021 (+8.7%).
- The fiscal Q4 2025 figure ranks as the highest quarterly Buildings in data going back to fiscal Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 49.29 Bn | 42.18 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2025 | 2.06 Bn |
| Oct 31, 2024 | 1.79 Bn |
| Oct 31, 2023 | 1.41 Bn |
| Oct 31, 2022 | 1.26 Bn |
| Oct 31, 2021 | 1.15 Bn |
| Oct 31, 2020 | 1.06 Bn |
| Oct 31, 2019 | 1.01 Bn |
| Oct 31, 2018 | 952.00 Mn |
| Oct 31, 2017 | 886.00 Mn |
| Oct 31, 2016 | 757.00 Mn |
| Oct 31, 2015 | 705.00 Mn |
| Oct 31, 2014 | 714.00 Mn |
| Oct 31, 2013 | 1.33 Bn |
| Oct 31, 2012 | 1.48 Bn |
| Oct 31, 2011 | 1.27 Bn |
| Oct 31, 2010 | 1.27 Bn |
| Oct 31, 2009 | 1.21 Bn |
API Access
Agilent Technologies 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=A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "A", "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=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();