Agilent Technologies (A) Other Non-Current Assets (2009 - 2026)
Agilent Technologies' Other Non-Current Assets came in at $1.07 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 15.5% from $930 million a year earlier but down 8.7% from the prior quarter.
Agilent Technologies (A) Other Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Agilent Technologies' Other Non-Current Assets was $1.06 billion, up 16.4% from FY2024.
- Other Non-Current Assets has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- Going back by fiscal year, Other Non-Current Assets was $910 million in FY2024 (+28.5%), $708 million in FY2023 (+3.2%), $686 million in FY2022 (-16.3%) and $820 million in FY2021 (+5.7%).
- The five-year range for quarterly Other Non-Current Assets is $686 million (fiscal Q4 2022) to $1.18 billion (fiscal Q2 2026).
- Year-over-year, Other Non-Current Assets has increased for eight consecutive quarters, with growth averaging 23.0% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Assets over five years came in fiscal Q2 2025 (growth of 28.8%), and the weakest in fiscal Q4 2022 (a decline of 16.3%).
- Business Quant data shows A's Other Non-Current Assets at $1.18 billion (Q2 2026), $1.08 billion (Q1 2026) and $1.06 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 5.62 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | - |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 4.39 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | - |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 4.32 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 3.23 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 2.55 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 616.40 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 1.07 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.07 Bn |
| Apr 30, 2026 | 1.18 Bn |
| Jan 31, 2026 | 1.08 Bn |
| Oct 31, 2025 | 1.06 Bn |
| Jul 31, 2025 | 930.00 Mn |
| Apr 30, 2025 | 934.00 Mn |
| Jan 31, 2025 | 875.00 Mn |
| Oct 31, 2024 | 910.00 Mn |
| Jul 31, 2024 | 751.00 Mn |
| Apr 30, 2024 | 725.00 Mn |
| Jan 31, 2024 | 716.00 Mn |
| Oct 31, 2023 | 708.00 Mn |
| Jul 31, 2023 | 758.00 Mn |
| Apr 30, 2023 | 695.00 Mn |
| Jan 31, 2023 | 713.00 Mn |
| Oct 31, 2022 | 686.00 Mn |
| Jul 31, 2022 | 749.00 Mn |
| Apr 30, 2022 | 758.00 Mn |
| Jan 31, 2022 | 795.00 Mn |
| Oct 31, 2021 | 820.00 Mn |
Agilent Technologies Other Non-Current Assets 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=other-non-current-assets&ticker=A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();