Agilent Technologies (A) Shares Outstanding (2009 - 2026)
Agilent Technologies' Shares Outstanding came in at 282 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 0.7% from 284 million a year earlier and unchanged from the prior quarter.
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Analysis
Agilent Technologies (A) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Agilent Technologies' Shares Outstanding was 284 million, down 2.1% from FY2024.
- Shares Outstanding has declined in each of the last ten fiscal years, with a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- Going back by fiscal year, Shares Outstanding was 290 million in FY2024 (-1.4%), 294 million in FY2023 (-1.7%), 299 million in FY2022 (-1.6%) and 304 million in FY2021 (-1.6%).
- The five-year range for quarterly Shares Outstanding is 282 million (fiscal Q2 2026) to 304 million (fiscal Q4 2021).
- Year-over-year, Shares Outstanding has declined for 33 consecutive quarters, with an average decline of 1.7% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding ran from 0.7% in fiscal Q1 2026 to 2.7% in fiscal Q1 2025.
- Business Quant data shows A's Shares Outstanding at 282 million (Q2 2026), 283 million (Q1 2026) and 284 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 705.30 Mn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 354.10 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 383.50 Mn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 274.79 Mn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 576.40 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 282.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 282.00 Mn |
| Apr 30, 2026 | 282.00 Mn |
| Jan 31, 2026 | 283.00 Mn |
| Oct 31, 2025 | 284.00 Mn |
| Jul 31, 2025 | 284.00 Mn |
| Apr 30, 2025 | 285.00 Mn |
| Jan 31, 2025 | 285.00 Mn |
| Oct 31, 2024 | 290.00 Mn |
| Jul 31, 2024 | 290.00 Mn |
| Apr 30, 2024 | 293.00 Mn |
| Jan 31, 2024 | 293.00 Mn |
| Oct 31, 2023 | 294.00 Mn |
| Jul 31, 2023 | 294.00 Mn |
| Apr 30, 2023 | 296.00 Mn |
| Jan 31, 2023 | 296.00 Mn |
| Oct 31, 2022 | 299.00 Mn |
| Jul 31, 2022 | 298.00 Mn |
| Apr 30, 2022 | 299.00 Mn |
| Jan 31, 2022 | 301.00 Mn |
| Oct 31, 2021 | 304.00 Mn |
API Access
Agilent Technologies Shares Outstanding 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=shares-outstanding&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();