Agilent Technologies (A) Profit After Tax (2010 - 2026)
Agilent Technologies (A) reported Profit After Tax of $362 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 7.7% from $336 million a year earlier and up 6.8% from the prior quarter.
Agilent Technologies (A) Profit After Tax (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Agilent Technologies' Profit After Tax came in at $1.44 billion, up 18.0% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $1.3 billion, up 1.1% from FY2024.
- Profit After Tax has a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- By fiscal year, Profit After Tax came in at $1.29 billion in FY2024 (+4.0%), $1.24 billion in FY2023 (-1.1%), $1.25 billion in FY2022 (+3.6%) and $1.21 billion in FY2021 (+68.3%).
- Five-year quarterly Profit After Tax spans a low of $111 million in fiscal Q3 2023 and a high of $475 million in fiscal Q4 2023.
- Year over year, Profit After Tax gained in four of the last eight quarters, with growth averaging 4.9%.
- The high point for year-over-year Profit After Tax in five years was fiscal Q3 2024 (growth of 154.1%); the low point was fiscal Q3 2023 (a decline of 66.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $339 million (Q2 2026), $305 million (Q1 2026) and $434 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 1.76 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 928.00 Mn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 870.00 Mn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 823.20 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 1.48 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 1.28 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 905.00 Mn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 452.00 Mn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 241.40 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 362.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 362.00 Mn |
| Apr 30, 2026 | 339.00 Mn |
| Jan 31, 2026 | 305.00 Mn |
| Oct 31, 2025 | 434.00 Mn |
| Jul 31, 2025 | 336.00 Mn |
| Apr 30, 2025 | 215.00 Mn |
| Jan 31, 2025 | 318.00 Mn |
| Oct 31, 2024 | 351.00 Mn |
| Jul 31, 2024 | 282.00 Mn |
| Apr 30, 2024 | 308.00 Mn |
| Jan 31, 2024 | 348.00 Mn |
| Oct 31, 2023 | 475.00 Mn |
| Jul 31, 2023 | 111.00 Mn |
| Apr 30, 2023 | 302.00 Mn |
| Jan 31, 2023 | 352.00 Mn |
| Oct 31, 2022 | 368.00 Mn |
| Jul 31, 2022 | 329.00 Mn |
| Apr 30, 2022 | 274.00 Mn |
| Jan 31, 2022 | 283.00 Mn |
| Oct 31, 2021 | 442.00 Mn |
Agilent Technologies Profit After Tax 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=profit-after-tax&ticker=A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();