Agilent Technologies (A) Other Operating Expenses (2010 - 2026)
Agilent Technologies (A) posted Other Operating Expenses of $836 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 1.6% from $850 million a year earlier and down 0.1% from the prior quarter.
Agilent Technologies (A) Other Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Other Operating Expenses at Agilent Technologies was $3.38 billion, up 6.8% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $3.31 billion, up 11.1% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- In prior fiscal years, Agilent Technologies' Other Operating Expenses was $2.98 billion in FY2024 (-11.7%), $3.37 billion in FY2023 (+7.7%), $3.13 billion in FY2022 (+7.3%) and $2.91 billion in FY2021 (+16.4%).
- Quarterly Other Operating Expenses has run from a low of $716 million in fiscal Q2 2024 to a high of $1.01 billion in fiscal Q3 2023 over five years.
- On a year-over-year basis, Other Operating Expenses increased in seven of the last eight quarters, with growth averaging 7.0%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q3 2023, with growth of 30.2%; the weakest was fiscal Q3 2024, with a decline of 28.7%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $837 million (Q2 2026), $832 million (Q1 2026) and $871 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 | 836.00 Mn |
| Apr 30, 2026 | 837.00 Mn |
| Jan 31, 2026 | 832.00 Mn |
| Oct 31, 2025 | 871.00 Mn |
| Jul 31, 2025 | 850.00 Mn |
| Apr 30, 2025 | 746.00 Mn |
| Jan 31, 2025 | 781.00 Mn |
| Oct 31, 2024 | 785.00 Mn |
| Jul 31, 2024 | 723.00 Mn |
| Apr 30, 2024 | 716.00 Mn |
| Jan 31, 2024 | 747.00 Mn |
| Oct 31, 2023 | 773.00 Mn |
| Jul 31, 2023 | 1.01 Bn |
| Apr 30, 2023 | 793.00 Mn |
| Jan 31, 2023 | 788.00 Mn |
| Oct 31, 2022 | 837.00 Mn |
| Jul 31, 2022 | 779.00 Mn |
| Apr 30, 2022 | 746.00 Mn |
| Jan 31, 2022 | 764.00 Mn |
| Oct 31, 2021 | 760.00 Mn |
Agilent Technologies Other Operating Expenses 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-operating-expenses&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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-operating-expenses&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();