Agilent Technologies (A) Net Margin (2010 - 2026)
Agilent Technologies' Net Margin was 19.28% in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 0.06 percentage points from 19.33% a year earlier but up 0.80 percentage points from the prior quarter.
Agilent Technologies (A) Net Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Agilent Technologies' Net Margin was 19.53% through Jul 31, 2026, up 1.56 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it was 18.75%, down 1.05 percentage points from FY2024.
- Net Margin shows a five-year change of +5.29 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Net Margin was 19.80% in FY2024 (+1.65 pp), 18.15% in FY2023 (-0.16 pp), 18.31% in FY2022 (-0.84 pp) and 19.15% in FY2021 (+5.68 pp).
- Quarterly Net Margin has moved between 6.64% (fiscal Q3 2023) and 28.14% (fiscal Q4 2023) over five years.
- Compared with a year earlier, Net Margin was higher in three of the last eight quarters, with an average year-over-year change of -1.07 percentage points.
- The best year-over-year quarter for Net Margin over five years was fiscal Q4 2021 (a gain of 11.66 percentage points); the worst was fiscal Q3 2023 (a drop of 12.51 percentage points).
- Per Business Quant data, A's Net Margin in the three fiscal quarters before Q3 2026 was 18.47% (Q2 2026), 16.96% (Q1 2026) and 23.32% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 28.29% |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 16.67% |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 7.57% |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 13.89% |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 19.28% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 19.28% |
| Apr 30, 2026 | 18.47% |
| Jan 31, 2026 | 16.96% |
| Oct 31, 2025 | 23.32% |
| Jul 31, 2025 | 19.33% |
| Apr 30, 2025 | 12.89% |
| Jan 31, 2025 | 18.92% |
| Oct 31, 2024 | 20.63% |
| Jul 31, 2024 | 17.87% |
| Apr 30, 2024 | 19.58% |
| Jan 31, 2024 | 20.99% |
| Oct 31, 2023 | 28.14% |
| Jul 31, 2023 | 6.64% |
| Apr 30, 2023 | 17.59% |
| Jan 31, 2023 | 20.05% |
| Oct 31, 2022 | 19.90% |
| Jul 31, 2022 | 19.15% |
| Apr 30, 2022 | 17.05% |
| Jan 31, 2022 | 16.91% |
| Oct 31, 2021 | 26.63% |
Agilent Technologies Net Margin 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=net-margin&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();