Agilent Technologies (A) Price to Earnings (2011 - 2026)
Agilent Technologies' Price to Earnings was 27.09 in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 1.5% from 26.69 a year earlier and up 17.5% from the prior quarter.
Powered by 
Analysis
Agilent Technologies (A) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Price to Earnings at Agilent Technologies came in at 31.79, up 10.3% from FY2024.
- In earlier fiscal years, Price to Earnings was 28.83 in FY2024 (+18.4%), 24.35 in FY2023 (-25.2%), 32.55 in FY2022 (-17.2%) and 39.31 in FY2021 (-9.5%).
- Quarterly Price to Earnings has moved between 23.06 (fiscal Q2 2026) and 39.31 (fiscal Q4 2021) over five years.
- Compared with a year earlier, Price to Earnings was higher in four of the last eight quarters, with an average decline of 1.4%.
- The best year-over-year quarter for Price to Earnings over five years was fiscal Q4 2024 (growth of 18.4%); the worst was fiscal Q3 2022 (a decline of 36.3%).
- Per Business Quant data, A's Price to Earnings in the three fiscal quarters before Q3 2026 was 23.06 (Q2 2026), 29.33 (Q1 2026) and 31.79 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 27.09 |
| Apr 30, 2026 | 23.06 |
| Jan 31, 2026 | 29.33 |
| Oct 31, 2025 | 31.79 |
| Jul 31, 2025 | 26.69 |
| Apr 30, 2025 | 26.20 |
| Jan 31, 2025 | 34.33 |
| Oct 31, 2024 | 28.83 |
| Jul 31, 2024 | 28.77 |
| Apr 30, 2024 | 32.17 |
| Jan 31, 2024 | 30.85 |
| Oct 31, 2023 | 24.35 |
| Jul 31, 2023 | 31.49 |
| Apr 30, 2023 | 29.57 |
| Jan 31, 2023 | 34.03 |
| Oct 31, 2022 | 32.55 |
| Jul 31, 2022 | 29.89 |
| Apr 30, 2022 | 28.24 |
| Jan 31, 2022 | 34.69 |
| Oct 31, 2021 | 39.31 |
API Access
Agilent Technologies Price to Earnings 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=price-to-earnings&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();