Agilent Technologies (A) Acquisitions (2009 - 2026)
Agilent Technologies' Acquisitions came in at $950 million for fiscal Q3 2026 (quarter ended Jul 31, 2026).
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Analysis
Agilent Technologies (A) Acquisitions (2009 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Agilent Technologies' Acquisitions was -$4 million.
- Going back by fiscal year, Acquisitions was $862 million in FY2024, $51 million in FY2023 (-1.9%), $52 million in FY2022 (-90.5%) and $547 million in FY2021.
- The fiscal Q3 2026 figure represents the highest quarterly Acquisitions since fiscal Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.21 Bn | 258.21 Bn | - | 5.00 Mn |
| 2 | Abbott Laboratories | 184.72 Bn | 184.72 Bn | - | - |
| 3 | Danaher | 163.63 Bn | 147.44 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 150.86 Bn | 131.14 Bn | 2.08 Bn | -9.60 Mn |
| 5 | Medtronic | 123.68 Bn | 88.93 Bn | 6.34 Bn | 1.16 Bn |
| 6 | Stryker | 111.91 Bn | 111.91 Bn | - | 22.00 Mn |
| 7 | Boston Scientific | 61.64 Bn | 61.64 Bn | 3.43 Bn | - |
| 8 | Becton Dickinson | 54.28 Bn | 51.43 Bn | 2.32 Bn | 22.00 Mn |
| 9 | Edwards Lifesciences | 53.21 Bn | 37.22 Bn | 1.35 Bn | 7.10 Mn |
| 10 | Agilent Technologies | 49.54 Bn | 42.43 Bn | 1.04 Bn | 950.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 950.00 Mn |
| Jan 31, 2025 | -4.00 Mn |
| Oct 31, 2024 | 859.00 Mn |
| Jul 31, 2024 | 3.00 Mn |
| Apr 30, 2023 | 21.00 Mn |
| Jan 31, 2023 | 30.00 Mn |
| Oct 31, 2022 | 34.00 Mn |
| Apr 30, 2022 | 18.00 Mn |
| Oct 31, 2019 | 1.16 Bn |
| Jan 31, 2019 | 248.00 Mn |
| Oct 31, 2018 | 79.00 Mn |
| Jul 31, 2018 | 430.00 Mn |
| Apr 30, 2018 | 1.00 Mn |
| Jan 31, 2018 | 6.00 Mn |
| Oct 31, 2017 | 1.00 Mn |
| Jul 31, 2017 | 57.00 Mn |
| Jan 31, 2017 | 70.00 Mn |
| Oct 31, 2016 | 26.00 Mn |
| Jan 31, 2016 | 235.00 Mn |
| Oct 31, 2015 | 8.00 Mn |
API Access
Agilent Technologies Acquisitions 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=acquisitions&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();