Agilent Technologies (A) Interest Expenses (2010 - 2026)
Agilent Technologies' Interest Expenses came in at $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.
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Analysis
Agilent Technologies (A) Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Agilent Technologies reported Interest Expenses of $106 million, down 9.4% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $112 million, up 16.7% from FY2024.
- Interest Expenses has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- Going back by fiscal year, Interest Expenses was $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%).
- The five-year range for quarterly Interest Expenses is $19 million (fiscal Q3 2022) to $32 million (fiscal Q4 2024).
- Year-over-year, Interest Expenses increased in five of the last eight quarters, with growth averaging 13.6%.
- The fastest year-over-year change in Interest Expenses over five years came in fiscal Q4 2024 (growth of 45.5%), and the weakest in fiscal Q2 2024 (a decline of 16.7%).
- Business Quant data shows A's Interest Expenses at $25 million (Q2 2026), $25 million (Q1 2026) and $27 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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
Download Data
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 |
API Access
Agilent Technologies 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=interest-expenses&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();