Agilent Technologies (A) Long-Term Debt Issuances (2009 - 2026)
Agilent Technologies (A) reported Long-Term Debt Issuances of $600 million for fiscal Q3 2026 (quarter ended Jul 31, 2026).
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Analysis
Agilent Technologies (A) Long-Term Debt Issuances (2009 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Agilent Technologies posted Long-Term Debt Issuances of $4 million, down 99.7% from FY2024.
- Long-Term Debt Issuances has a five-year compound annual growth rate of -61.9% (FY2020 to FY2025).
- By fiscal year, Long-Term Debt Issuances came in at $1.2 billion in FY2024, $600 million in FY2022 (-29.2%) and $848 million in FY2021 (+69.9%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Long-Term Debt Issuances since fiscal Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | -33.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 6.56 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 600.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 600.00 Mn |
| Jan 31, 2025 | 4.00 Mn |
| Oct 31, 2024 | 1.20 Bn |
| Jul 31, 2022 | 600.00 Mn |
| Jul 31, 2020 | 499.00 Mn |
| Oct 31, 2019 | 497.00 Mn |
| Oct 31, 2014 | 1.10 Bn |
| Oct 31, 2012 | 399.00 Mn |
| Oct 31, 2009 | 748.00 Mn |
API Access
Agilent Technologies Long-Term Debt Issuances 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-issuances&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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-issuances&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();