Agilent Technologies (A) Operating Income (2010 - 2026)
Agilent Technologies (A) posted Operating Income of $444 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 23.3% from $360 million a year earlier and up 11.3% from the prior quarter.
Agilent Technologies (A) Operating Income (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Operating Income at Agilent Technologies was $1.64 billion, up 13.5% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $1.48 billion, down 0.6% from FY2024.
- Annual Operating Income shows a five-year compound annual growth rate of 11.8% (FY2020 to FY2025).
- In prior fiscal years, Agilent Technologies' Operating Income was $1.49 billion in FY2024 (+10.2%), $1.35 billion in FY2023 (-16.6%), $1.62 billion in FY2022 (+20.1%) and $1.35 billion in FY2021 (+59.2%).
- The fiscal Q3 2026 figure stands as the highest quarterly Operating Income since fiscal Q4 2022.
- On a year-over-year basis, Operating Income increased in four of the last eight quarters, with growth averaging 5.9%.
- The strongest year-over-year quarter for Operating Income in the past five years was fiscal Q3 2024, with growth of 150.4%; the weakest was fiscal Q3 2023, with a decline of 67.6%.
- According to Business Quant data, Operating Income for the three prior fiscal quarters was $399 million (Q2 2026), $353 million (Q1 2026) and $443 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 663.00 Mn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 513.20 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 444.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 444.00 Mn |
| Apr 30, 2026 | 399.00 Mn |
| Jan 31, 2026 | 353.00 Mn |
| Oct 31, 2025 | 443.00 Mn |
| Jul 31, 2025 | 360.00 Mn |
| Apr 30, 2025 | 300.00 Mn |
| Jan 31, 2025 | 376.00 Mn |
| Oct 31, 2024 | 408.00 Mn |
| Jul 31, 2024 | 333.00 Mn |
| Apr 30, 2024 | 363.00 Mn |
| Jan 31, 2024 | 384.00 Mn |
| Oct 31, 2023 | 408.00 Mn |
| Jul 31, 2023 | 133.00 Mn |
| Apr 30, 2023 | 383.00 Mn |
| Jan 31, 2023 | 426.00 Mn |
| Oct 31, 2022 | 471.00 Mn |
| Jul 31, 2022 | 411.00 Mn |
| Apr 30, 2022 | 360.00 Mn |
| Jan 31, 2022 | 376.00 Mn |
| Oct 31, 2021 | 395.00 Mn |
Agilent Technologies Operating Income 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-income&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();