Agilent Technologies (A) Long-Term Investments (2009 - 2026)
Agilent Technologies (A) recorded Long-Term Investments of $130 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 2.3% from $133 million a year earlier and down 4.4% from the prior quarter.
Powered by 
Analysis
Agilent Technologies (A) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Agilent Technologies reported Long-Term Investments of $133 million, down 24.0% from FY2024.
- Annual Long-Term Investments has a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- Across earlier fiscal years, Long-Term Investments came in at $175 million in FY2024 (+6.7%), $164 million in FY2023 (-15.9%), $195 million in FY2022 (+5.4%) and $185 million in FY2021 (+17.1%).
- The fiscal Q3 2026 figure is the lowest quarterly Long-Term Investments since fiscal Q1 2020.
- On a year-over-year basis, Long-Term Investments rose in three of the last eight quarters, with an average decline of 11.4%.
- Peak year-over-year performance for Long-Term Investments in the last five years was growth of 17.1% in fiscal Q4 2021, against a decline of 28.5% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $136 million (Q2 2026), $135 million (Q1 2026) and $133 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 1.11 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 3.41 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | - |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 2.25 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 244.10 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 130.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 130.00 Mn |
| Apr 30, 2026 | 136.00 Mn |
| Jan 31, 2026 | 135.00 Mn |
| Oct 31, 2025 | 133.00 Mn |
| Jul 31, 2025 | 133.00 Mn |
| Apr 30, 2025 | 135.00 Mn |
| Jan 31, 2025 | 173.00 Mn |
| Oct 31, 2024 | 175.00 Mn |
| Jul 31, 2024 | 186.00 Mn |
| Apr 30, 2024 | 177.00 Mn |
| Jan 31, 2024 | 170.00 Mn |
| Oct 31, 2023 | 164.00 Mn |
| Jul 31, 2023 | 190.00 Mn |
| Apr 30, 2023 | 186.00 Mn |
| Jan 31, 2023 | 188.00 Mn |
| Oct 31, 2022 | 195.00 Mn |
| Jul 31, 2022 | 194.00 Mn |
| Apr 30, 2022 | 190.00 Mn |
| Jan 31, 2022 | 191.00 Mn |
| Oct 31, 2021 | 185.00 Mn |
API Access
Agilent Technologies Long-Term Investments 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=long-term-investments&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();