Agilent Technologies (A) Enterprise Value (2009 - 2026)
Agilent Technologies' Enterprise Value came in at $37.26 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 20.1% from $31.02 billion a year earlier and up 21.0% from the prior quarter.
Agilent Technologies (A) Enterprise Value (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Agilent Technologies reported Enterprise Value of $31.9 billion, up 19.3% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $39.64 billion, up 10.6% from FY2024.
- Enterprise Value carries a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- Going back by fiscal year, Enterprise Value was $35.83 billion in FY2024 (+25.3%), $28.61 billion in FY2023 (-28.1%), $39.76 billion in FY2022 (-13.5%) and $45.99 billion in FY2021 (+54.3%).
- The five-year range for quarterly Enterprise Value is $28.61 billion (fiscal Q4 2023) to $45.99 billion (fiscal Q4 2021).
- Year-over-year, Enterprise Value increased in five of the last eight quarters, with growth averaging 2.4%.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q4 2021 (growth of 54.3%), and the weakest in fiscal Q4 2023 (a decline of 28.1%).
- Business Quant data shows A's Enterprise Value at $30.8 billion (Q2 2026), $36.08 billion (Q1 2026) and $39.64 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 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 |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 37.26 Bn |
| Apr 30, 2026 | 30.80 Bn |
| Jan 31, 2026 | 36.08 Bn |
| Oct 31, 2025 | 39.64 Bn |
| Jul 31, 2025 | 31.02 Bn |
| Apr 30, 2025 | 29.07 Bn |
| Jan 31, 2025 | 41.75 Bn |
| Oct 31, 2024 | 35.83 Bn |
| Jul 31, 2024 | 38.88 Bn |
| Apr 30, 2024 | 38.29 Bn |
| Jan 31, 2024 | 36.38 Bn |
| Oct 31, 2023 | 28.61 Bn |
| Jul 31, 2023 | 34.35 Bn |
| Apr 30, 2023 | 38.78 Bn |
| Jan 31, 2023 | 43.77 Bn |
| Oct 31, 2022 | 39.76 Bn |
| Jul 31, 2022 | 38.62 Bn |
| Apr 30, 2022 | 34.45 Bn |
| Jan 31, 2022 | 40.64 Bn |
| Oct 31, 2021 | 45.99 Bn |
Agilent Technologies Enterprise Value 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=enterprise-value&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();