Agilent Technologies (A) Non Operating Interest Expenses (2010 - 2026)
Agilent Technologies (A) reported Non Operating Interest Expenses of $29 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 3.6% from $28 million a year earlier and up 16.0% from the prior quarter.
Agilent Technologies (A) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Agilent Technologies' Non Operating Interest Expenses came in at $106 million, down 9.4% year-over-year; for FY2025 (ended Oct 31, 2025), it was $112 million, up 16.7% from FY2024.
- Non Operating Interest Expenses has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- By fiscal year, Non Operating Interest Expenses came in at $96 million in FY2024 (+1.1%), $95 million in FY2023 (+13.1%), $84 million in FY2022 (+3.7%) and $81 million in FY2021 (+3.8%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $19 million in fiscal Q3 2022 and a high of $32 million in fiscal Q4 2024.
- Year over year, Non Operating Interest Expenses gained in five of the last eight quarters, with growth averaging 13.6%.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q4 2024 (growth of 45.5%); the low point was fiscal Q2 2024 (a decline of 16.7%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $25 million (Q2 2026), $25 million (Q1 2026) and $27 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | - |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | - |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 29.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 29.00 Mn |
| Apr 30, 2026 | 25.00 Mn |
| Jan 31, 2026 | 25.00 Mn |
| Oct 31, 2025 | 27.00 Mn |
| Jul 31, 2025 | 28.00 Mn |
| Apr 30, 2025 | 29.00 Mn |
| Jan 31, 2025 | 28.00 Mn |
| Oct 31, 2024 | 32.00 Mn |
| Jul 31, 2024 | 22.00 Mn |
| Apr 30, 2024 | 20.00 Mn |
| Jan 31, 2024 | 22.00 Mn |
| Oct 31, 2023 | 22.00 Mn |
| Jul 31, 2023 | 24.00 Mn |
| Apr 30, 2023 | 24.00 Mn |
| Jan 31, 2023 | 25.00 Mn |
| Oct 31, 2022 | 23.00 Mn |
| Jul 31, 2022 | 19.00 Mn |
| Apr 30, 2022 | 21.00 Mn |
| Jan 31, 2022 | 21.00 Mn |
| Oct 31, 2021 | 21.00 Mn |
Agilent Technologies Non Operating Interest 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=non-operating-interest-expenses&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();