Agilent Technologies (A) EPS (Diluted) (2010 - 2026)
Agilent Technologies' EPS (Diluted) came in at $1.28 for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 8.5% from $1.18 a year earlier and up 6.8% from the prior quarter.
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Analysis
Agilent Technologies (A) EPS (Diluted) (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Agilent Technologies reported EPS (Diluted) of $5.09, up 18.9% year-over-year; for FY2025 (ended Oct 31, 2025), it was $4.57, up 3.2% from FY2024.
- EPS (Diluted) has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- Going back by fiscal year, EPS (Diluted) was $4.43 in FY2024 (+5.7%), $4.19 in FY2023 (+0.2%), $4.18 in FY2022 (+6.1%) and $3.94 in FY2021 (+71.0%).
- The five-year range for quarterly EPS (Diluted) is $0.38 (fiscal Q3 2023) to $1.60 (fiscal Q4 2023).
- Year-over-year, EPS (Diluted) increased in four of the last eight quarters, with growth averaging 6.6%.
- The fastest year-over-year change in EPS (Diluted) over five years came in fiscal Q3 2024 (growth of 157.5%), and the weakest in fiscal Q3 2023 (a decline of 65.8%).
- Business Quant data shows A's EPS (Diluted) at $1.20 (Q2 2026), $1.07 (Q1 2026) and $1.52 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 4.68 |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 0.53 |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 1.23 |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 2.29 |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 1.14 |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 3.31 |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 0.61 |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 1.37 |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 0.42 |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 1.28 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.28 |
| Apr 30, 2026 | 1.20 |
| Jan 31, 2026 | 1.07 |
| Oct 31, 2025 | 1.52 |
| Jul 31, 2025 | 1.18 |
| Apr 30, 2025 | 0.75 |
| Jan 31, 2025 | 1.11 |
| Oct 31, 2024 | 1.21 |
| Jul 31, 2024 | 0.97 |
| Apr 30, 2024 | 1.05 |
| Jan 31, 2024 | 1.18 |
| Oct 31, 2023 | 1.60 |
| Jul 31, 2023 | 0.38 |
| Apr 30, 2023 | 1.02 |
| Jan 31, 2023 | 1.19 |
| Oct 31, 2022 | 1.23 |
| Jul 31, 2022 | 1.10 |
| Apr 30, 2022 | 0.91 |
| Jan 31, 2022 | 0.93 |
| Oct 31, 2021 | 1.44 |
API Access
Agilent Technologies EPS (Diluted) 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=eps-diluted&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();