Agilent Technologies (A) Long-Term Debt Repayments (2010 - 2026)
Agilent Technologies' Long-Term Debt Repayments was $1 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), unchanged from $1 million a year earlier and unchanged from the prior quarter.
Agilent Technologies (A) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Agilent Technologies' Long-Term Debt Repayments was $5 million through Jul 31, 2026, down 98.8% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $3 million, down 99.5% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- In earlier fiscal years, Long-Term Debt Repayments was $600 million in FY2024, $609 million in FY2022 (+46.0%) and $417 million in FY2021.
- Quarterly Long-Term Debt Repayments has moved between $1 million (fiscal Q1 2025) and $420 million (fiscal Q4 2024) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in 1 of the last four quarters, with an average decline of 24.8%.
- Per Business Quant data, A's Long-Term Debt Repayments in the three fiscal quarters before Q3 2026 was $1 million (Q2 2026), $2 million (Q1 2026) and $1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.26 Bn | 233.29 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.44 Bn | 145.87 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 164.24 Bn | 148.05 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 155.99 Bn | 135.41 Bn | 1.96 Bn | - |
| 5 | Medtronic | 121.82 Bn | 87.08 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.21 Bn | 103.32 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.47 Bn | 61.24 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.36 Bn | 51.51 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.61 Bn | 35.61 Bn | 1.35 Bn | - |
| 10 | Agilent Technologies | 49.47 Bn | 42.35 Bn | 1.04 Bn | -1.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -1.00 Mn |
| Apr 30, 2026 | 3.00 Mn |
| Jan 31, 2026 | 2.00 Mn |
| Oct 31, 2025 | 1.00 Mn |
| Jul 31, 2025 | 1.00 Mn |
| Jan 31, 2025 | 1.00 Mn |
| Oct 31, 2024 | 420.00 Mn |
| Jan 31, 2024 | 180.00 Mn |
| Jul 31, 2022 | 609.00 Mn |
| Apr 30, 2021 | 312.00 Mn |
| Jan 31, 2021 | 105.00 Mn |
| Jan 31, 2020 | 4.00 Mn |
| Oct 31, 2018 | -693.00 Mn |
| Jul 31, 2018 | 442.00 Mn |
| Apr 30, 2018 | 112.00 Mn |
| Jan 31, 2018 | 139.00 Mn |
| Jul 31, 2017 | 76.00 Mn |
| Apr 30, 2017 | 45.00 Mn |
| Jan 31, 2017 | 42.00 Mn |
| Oct 31, 2014 | 500.00 Mn |
Agilent Technologies Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();