Agilent Technologies (A) Property, Plant & Equipment (Net) (2009 - 2026)
Agilent Technologies (A) posted Property, Plant & Equipment (Net) of $2.13 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 8.5% from $1.97 billion a year earlier and up 1.7% from the prior quarter.
Agilent Technologies (A) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Agilent Technologies' Property, Plant & Equipment (Net) came in at $2.02 billion, up 13.8% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- In prior fiscal years, Agilent Technologies' Property, Plant & Equipment (Net) was $1.78 billion in FY2024 (+40.0%), $1.27 billion in FY2023 (+15.5%), $1.1 billion in FY2022 (+16.4%) and $945 million in FY2021 (+11.8%).
- The fiscal Q3 2026 figure stands as the highest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q3 2009.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last 23 quarters, with growth averaging 25.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Property, Plant & Equipment (Net) ranged from 8.5% (fiscal Q3 2026) to 40.0% (fiscal Q4 2024).
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior fiscal quarters was $2.1 billion (Q2 2026), $2.08 billion (Q1 2026) and $2.02 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 6.08 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 1.84 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 2.13 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.13 Bn |
| Apr 30, 2026 | 2.10 Bn |
| Jan 31, 2026 | 2.08 Bn |
| Oct 31, 2025 | 2.02 Bn |
| Jul 31, 2025 | 1.97 Bn |
| Apr 30, 2025 | 1.91 Bn |
| Jan 31, 2025 | 1.82 Bn |
| Oct 31, 2024 | 1.78 Bn |
| Jul 31, 2024 | 1.45 Bn |
| Apr 30, 2024 | 1.37 Bn |
| Jan 31, 2024 | 1.31 Bn |
| Oct 31, 2023 | 1.27 Bn |
| Jul 31, 2023 | 1.21 Bn |
| Apr 30, 2023 | 1.18 Bn |
| Jan 31, 2023 | 1.15 Bn |
| Oct 31, 2022 | 1.10 Bn |
| Jul 31, 2022 | 1.05 Bn |
| Apr 30, 2022 | 1.01 Bn |
| Jan 31, 2022 | 974.00 Mn |
| Oct 31, 2021 | 945.00 Mn |
Agilent Technologies Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();