Agilent Technologies (A) Other Non-Current Liabilities (2009 - 2026)
Agilent Technologies (A) posted Other Non-Current Liabilities of $542 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 9.5% from $495 million a year earlier and up 9.3% from the prior quarter.
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Analysis
Agilent Technologies (A) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Agilent Technologies' Other Non-Current Liabilities came in at $463 million, down 19.9% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- In prior fiscal years, Agilent Technologies' Other Non-Current Liabilities was $578 million in FY2024 (+21.2%), $477 million in FY2023 (-11.0%), $536 million in FY2022 (-18.7%) and $659 million in FY2021 (+7.3%).
- The fiscal Q3 2026 figure stands as the highest quarterly Other Non-Current Liabilities since fiscal Q1 2025.
- On a year-over-year basis, Other Non-Current Liabilities increased in five of the last eight quarters, with growth averaging 3.8%.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was fiscal Q4 2024, with growth of 21.2%; the weakest was fiscal Q3 2022, with a decline of 19.9%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior fiscal quarters was $496 million (Q2 2026), $491 million (Q1 2026) and $463 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 542.00 Mn |
| Apr 30, 2026 | 496.00 Mn |
| Jan 31, 2026 | 491.00 Mn |
| Oct 31, 2025 | 463.00 Mn |
| Jul 31, 2025 | 495.00 Mn |
| Apr 30, 2025 | 535.00 Mn |
| Jan 31, 2025 | 551.00 Mn |
| Oct 31, 2024 | 578.00 Mn |
| Jul 31, 2024 | 471.00 Mn |
| Apr 30, 2024 | 449.00 Mn |
| Jan 31, 2024 | 486.00 Mn |
| Oct 31, 2023 | 477.00 Mn |
| Jul 31, 2023 | 531.00 Mn |
| Apr 30, 2023 | 515.00 Mn |
| Jan 31, 2023 | 542.00 Mn |
| Oct 31, 2022 | 536.00 Mn |
| Jul 31, 2022 | 583.00 Mn |
| Apr 30, 2022 | 603.00 Mn |
| Jan 31, 2022 | 653.00 Mn |
| Oct 31, 2021 | 659.00 Mn |
API Access
Agilent Technologies Other 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=other-non-current-liabilities&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();