Agilent Technologies (A) EBITDA Margin (2010 - 2026)
Agilent Technologies (A) reported EBITDA Margin of 27.16% for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 2.30 percentage points from 24.86% a year earlier and up 1.76 percentage points from the prior quarter.
Agilent Technologies (A) EBITDA Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Agilent Technologies' EBITDA Margin came in at 25.91%, up 0.42 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it came in at 25.43%, down 1.37 percentage points from FY2024.
- EBITDA Margin has a five-year change of +3.82 percentage points (FY2020 to FY2025).
- By fiscal year, EBITDA Margin came in at 26.80% in FY2024 (+3.08 pp), 23.72% in FY2023 (-4.53 pp), 28.26% in FY2022 (+1.86 pp) and 26.40% in FY2021 (+4.78 pp).
- Five-year quarterly EBITDA Margin spans a low of 12.20% in fiscal Q3 2023 and a high of 29.42% in fiscal Q4 2022.
- Year over year, EBITDA Margin gained in three of the last eight quarters, with an average year-over-year change of -0.42 percentage points.
- The high point for year-over-year EBITDA Margin in five years was fiscal Q3 2024 (a gain of 12.89 percentage points); the low point was fiscal Q3 2023 (a drop of 16.38 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 25.40% (Q2 2026), 23.36% (Q1 2026) and 27.62% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 28.17% |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 24.62% |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 31.93% |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 27.16% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 27.16% |
| Apr 30, 2026 | 25.40% |
| Jan 31, 2026 | 23.36% |
| Oct 31, 2025 | 27.62% |
| Jul 31, 2025 | 24.86% |
| Apr 30, 2025 | 22.36% |
| Jan 31, 2025 | 26.65% |
| Oct 31, 2024 | 28.04% |
| Jul 31, 2024 | 25.10% |
| Apr 30, 2024 | 27.08% |
| Jan 31, 2024 | 26.90% |
| Oct 31, 2023 | 27.84% |
| Jul 31, 2023 | 12.20% |
| Apr 30, 2023 | 26.44% |
| Jan 31, 2023 | 28.08% |
| Oct 31, 2022 | 29.42% |
| Jul 31, 2022 | 28.58% |
| Apr 30, 2022 | 27.50% |
| Jan 31, 2022 | 27.36% |
| Oct 31, 2021 | 28.86% |
Agilent Technologies EBITDA 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=ebitda-margin&ticker=A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();