Agilent Technologies (A) Total Non-Current Liabilities (2009 - 2026)
Agilent Technologies (A) posted Total Non-Current Liabilities of $6.06 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 13.1% from $5.36 billion a year earlier and up 11.3% from the prior quarter.
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Analysis
Agilent Technologies (A) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Agilent Technologies' Total Non-Current Liabilities came in at $5.52 billion, up 2.8% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In prior fiscal years, Agilent Technologies' Total Non-Current Liabilities was $5.37 billion in FY2024 (-49.4%), $10.61 billion in FY2023 (+126.2%), $4.69 billion in FY2022 (+0.7%) and $4.66 billion in FY2021 (+12.5%).
- The fiscal Q3 2026 figure stands as the highest quarterly Total Non-Current Liabilities since fiscal Q4 2023.
- On a year-over-year basis, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 4.9%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q4 2023, with growth of 126.2%; the weakest was fiscal Q4 2024, with a decline of 49.4%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $5.45 billion (Q2 2026), $5.41 billion (Q1 2026) and $5.52 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | - |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | - |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 2.57 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 6.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.06 Bn |
| Apr 30, 2026 | 5.45 Bn |
| Jan 31, 2026 | 5.41 Bn |
| Oct 31, 2025 | 5.52 Bn |
| Jul 31, 2025 | 5.36 Bn |
| Apr 30, 2025 | 5.49 Bn |
| Jan 31, 2025 | 5.34 Bn |
| Oct 31, 2024 | 5.37 Bn |
| Jul 31, 2024 | 4.62 Bn |
| Apr 30, 2024 | 4.19 Bn |
| Jan 31, 2024 | 4.27 Bn |
| Oct 31, 2023 | 10.61 Bn |
| Jul 31, 2023 | 4.59 Bn |
| Apr 30, 2023 | 4.50 Bn |
| Jan 31, 2023 | 4.77 Bn |
| Oct 31, 2022 | 4.69 Bn |
| Jul 31, 2022 | 4.81 Bn |
| Apr 30, 2022 | 4.73 Bn |
| Jan 31, 2022 | 4.52 Bn |
| Oct 31, 2021 | 4.66 Bn |
API Access
Agilent Technologies Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();