Agilent Technologies (A) Operating Margin (2010 - 2026)
Agilent Technologies (A) recorded Operating Margin of 23.64% in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 2.93 percentage points from 20.71% a year earlier and up 1.90 percentage points from the prior quarter.
Agilent Technologies (A) Operating Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Agilent Technologies' Operating Margin came in at 22.23% as of Jul 31, 2026, up 0.96 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it came in at 21.29%, down 1.57 percentage points from FY2024.
- Annual Operating Margin has a five-year change of +5.44 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Operating Margin came in at 22.86% in FY2024 (+3.10 pp), 19.76% in FY2023 (-3.87 pp), 23.63% in FY2022 (+2.31 pp) and 21.32% in FY2021 (+5.47 pp).
- Quarterly Operating Margin has ranged from 7.95% in fiscal Q3 2023 to 25.47% in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Operating Margin rose in two of the last eight quarters, with an average year-over-year change of -0.34 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 13.15 percentage points in fiscal Q3 2024, against a drop of 15.97 percentage points in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 21.74% (Q2 2026), 19.63% (Q1 2026) and 23.80% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 29.48% |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 23.64% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 23.64% |
| Apr 30, 2026 | 21.74% |
| Jan 31, 2026 | 19.63% |
| Oct 31, 2025 | 23.80% |
| Jul 31, 2025 | 20.71% |
| Apr 30, 2025 | 17.99% |
| Jan 31, 2025 | 22.37% |
| Oct 31, 2024 | 23.99% |
| Jul 31, 2024 | 21.10% |
| Apr 30, 2024 | 23.08% |
| Jan 31, 2024 | 23.16% |
| Oct 31, 2023 | 24.17% |
| Jul 31, 2023 | 7.95% |
| Apr 30, 2023 | 22.31% |
| Jan 31, 2023 | 24.26% |
| Oct 31, 2022 | 25.47% |
| Jul 31, 2022 | 23.92% |
| Apr 30, 2022 | 22.40% |
| Jan 31, 2022 | 22.46% |
| Oct 31, 2021 | 23.80% |
Agilent Technologies Operating 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=operating-margin&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();