Agilent Technologies (A) Net Debt Issuances and Repayments (2009 - 2026)
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Analysis
Agilent Technologies (A) Net Debt Issuances and Repayments (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (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 | -1.37 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 8.49 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | - |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 812.00 Mn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 1.68 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | -2.29 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 | 599.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 599.00 Mn |
| Apr 30, 2026 | -1.00 Mn |
| Jan 31, 2026 | -2.00 Mn |
| Oct 31, 2025 | -56.00 Mn |
| Jul 31, 2025 | -88.00 Mn |
| Apr 30, 2025 | 130.00 Mn |
| Jan 31, 2025 | -27.00 Mn |
| Oct 31, 2024 | 442.00 Mn |
| Jul 31, 2024 | 375.00 Mn |
| Jan 31, 2024 | -180.00 Mn |
| Oct 31, 2023 | -55.00 Mn |
| Jul 31, 2023 | 55.00 Mn |
| Apr 30, 2023 | -238.00 Mn |
| Jan 31, 2023 | 203.00 Mn |
| Oct 31, 2022 | -145.00 Mn |
| Jul 31, 2022 | -4.00 Mn |
| Apr 30, 2022 | 175.00 Mn |
| Oct 31, 2021 | -130.00 Mn |
| Jul 31, 2021 | -75.00 Mn |
| Apr 30, 2021 | -421.00 Mn |
API Access
Agilent Technologies Net Debt Issuances and 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=net-debt-issuances-and-repayments&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-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=net-debt-issuances-and-repayments&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();