Agilent Technologies (A) Other Non Operating Income (2010 - 2026)
Agilent Technologies' Other Non Operating Income was $14 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 22.2% from $18 million a year earlier and down 33.3% from the prior quarter.
Agilent Technologies (A) Other Non Operating Income (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Agilent Technologies' Other Non Operating Income was $65 million through Jul 31, 2026; for FY2025 (ended Oct 31, 2025), it came in at $6 million, down 87.8% from FY2024.
- Other Non Operating Income shows a five-year compound annual growth rate of -38.1% (FY2020 to FY2025).
- In earlier fiscal years, Other Non Operating Income was $49 million in FY2024 (+48.5%), $33 million in FY2023, -$39 million in FY2022 and $92 million in FY2021 (+39.4%).
- Quarterly Other Non Operating Income has moved between -$37 million (fiscal Q1 2022) and $73 million (fiscal Q4 2021) over five years.
- Compared with a year earlier, Other Non Operating Income was higher in three of the last six quarters, with growth averaging 177.4%.
- The best year-over-year quarter for Other Non Operating Income over five years was fiscal Q4 2025 (growth of 800.0%); the worst was fiscal Q4 2022 (a decline of 97.3%).
- Per Business Quant data, A's Other Non Operating Income in the three fiscal quarters before Q3 2026 was $21 million (Q2 2026), $21 million (Q1 2026) and $9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 14.00 Mn |
| Apr 30, 2026 | 21.00 Mn |
| Jan 31, 2026 | 21.00 Mn |
| Oct 31, 2025 | 9.00 Mn |
| Jul 31, 2025 | 18.00 Mn |
| Apr 30, 2025 | -25.00 Mn |
| Jan 31, 2025 | 4.00 Mn |
| Oct 31, 2024 | 1.00 Mn |
| Jul 31, 2024 | 13.00 Mn |
| Apr 30, 2024 | 12.00 Mn |
| Jan 31, 2024 | 23.00 Mn |
| Oct 31, 2023 | 17.00 Mn |
| Jul 31, 2023 | 10.00 Mn |
| Apr 30, 2023 | 6.00 Mn |
| Oct 31, 2022 | 2.00 Mn |
| Jul 31, 2022 | 3.00 Mn |
| Apr 30, 2022 | -7.00 Mn |
| Jan 31, 2022 | -37.00 Mn |
| Oct 31, 2021 | 73.00 Mn |
| Jul 31, 2021 | 12.00 Mn |
Agilent Technologies Other Non 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=other-non-operating-income&ticker=A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-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=other-non-operating-income&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();