Agilent Technologies (A) Market Capitalization (2009 - 2026)
Agilent Technologies' Market Capitalization was $39.02 billion in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 19.8% from $32.56 billion a year earlier and up 19.6% from the prior quarter.
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Analysis
Agilent Technologies (A) Market Capitalization (2009 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Market Capitalization at Agilent Technologies came in at $41.43 billion, up 11.5% from FY2024.
- Market Capitalization shows a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- In earlier fiscal years, Market Capitalization was $37.16 billion in FY2024 (+23.1%), $30.2 billion in FY2023 (-26.0%), $40.81 billion in FY2022 (-14.2%) and $47.56 billion in FY2021 (+52.2%).
- Quarterly Market Capitalization has moved between $30.2 billion (fiscal Q4 2023) and $47.56 billion (fiscal Q4 2021) over five years.
- Compared with a year earlier, Market Capitalization was higher in five of the last eight quarters, with growth averaging 2.3%.
- The best year-over-year quarter for Market Capitalization over five years was fiscal Q4 2021 (growth of 52.2%); the worst was fiscal Q4 2023 (a decline of 26.0%).
- Per Business Quant data, A's Market Capitalization in the three fiscal quarters before Q3 2026 was $32.61 billion (Q2 2026), $37.84 billion (Q1 2026) and $41.43 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 39.02 Bn |
| Apr 30, 2026 | 32.61 Bn |
| Jan 31, 2026 | 37.84 Bn |
| Oct 31, 2025 | 41.43 Bn |
| Jul 31, 2025 | 32.56 Bn |
| Apr 30, 2025 | 30.55 Bn |
| Jan 31, 2025 | 43.22 Bn |
| Oct 31, 2024 | 37.16 Bn |
| Jul 31, 2024 | 40.66 Bn |
| Apr 30, 2024 | 39.96 Bn |
| Jan 31, 2024 | 38.12 Bn |
| Oct 31, 2023 | 30.20 Bn |
| Jul 31, 2023 | 35.68 Bn |
| Apr 30, 2023 | 39.95 Bn |
| Jan 31, 2023 | 45.02 Bn |
| Oct 31, 2022 | 40.81 Bn |
| Jul 31, 2022 | 39.69 Bn |
| Apr 30, 2022 | 35.66 Bn |
| Jan 31, 2022 | 41.80 Bn |
| Oct 31, 2021 | 47.56 Bn |
API Access
Agilent Technologies Market Capitalization 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=market-capitalization&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();