Agilent Technologies (A) Non-Current Debt (2009 - 2022)
Agilent Technologies' Non-Current Debt came in at $2.73 billion for fiscal Q2 2022 (quarter ended Apr 30, 2022), up 0.1% from $2.73 billion a year earlier and unchanged from the prior quarter.
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Analysis
Agilent Technologies (A) Non-Current Debt (2009 - 2022) Analysis & Trends
Going back to fiscal Q3 2009, Agilent Technologies' Non-Current Debt data covers 52 quarters.
- Non-Current Debt carries a five-year compound annual growth rate of 7.5% (FY2016 to FY2021).
- Going back by fiscal year, Non-Current Debt was $2.28 billion in FY2020 (+27.5%), $1.79 billion in FY2019 (-0.4%), $1.8 billion in FY2018 (-0.1%) and $1.8 billion in FY2017 (-5.4%).
- Year-over-year, Non-Current Debt has increased for eight consecutive quarters, with growth averaging 30.3% over the last eight quarters.
- The fastest year-over-year change in Non-Current Debt over five years came in fiscal Q3 2020 (growth of 76.4%), and the weakest in fiscal Q3 2019 (a decline of 28.1%).
- Business Quant data shows A's Non-Current Debt at $2.73 billion (Q1 2022), $2.73 billion (Q4 2021) and $2.73 billion (Q3 2021) in the three fiscal quarters before Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | - |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 13.51 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 598.70 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 599.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2022 | 2.73 Bn |
| Jan 31, 2022 | 2.73 Bn |
| Oct 31, 2021 | 2.73 Bn |
| Jul 31, 2021 | 2.73 Bn |
| Apr 30, 2021 | 2.73 Bn |
| Jan 31, 2021 | 2.19 Bn |
| Oct 31, 2020 | 2.28 Bn |
| Jul 31, 2020 | 2.28 Bn |
| Apr 30, 2020 | 1.79 Bn |
| Jan 31, 2020 | 1.79 Bn |
| Oct 31, 2019 | 1.79 Bn |
| Jul 31, 2019 | 1.29 Bn |
| Apr 30, 2019 | 1.80 Bn |
| Jan 31, 2019 | 1.80 Bn |
| Oct 31, 2018 | 1.80 Bn |
| Jul 31, 2018 | 1.80 Bn |
| Apr 30, 2018 | 1.80 Bn |
| Jan 31, 2018 | 1.80 Bn |
| Oct 31, 2017 | 1.80 Bn |
| Jul 31, 2017 | 1.80 Bn |
API Access
Agilent Technologies Non-Current Debt 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-current-debt&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();