Agilent Technologies (A) Total Current Liabilities (2009 - 2026)
Agilent Technologies (A) recorded Total Current Liabilities of $2.29 billion in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 21.0% from $1.89 billion a year earlier and up 0.9% from the prior quarter.
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Analysis
Agilent Technologies (A) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Agilent Technologies reported Total Current Liabilities of $2.35 billion, up 23.9% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- Across earlier fiscal years, Total Current Liabilities came in at $1.9 billion in FY2024 (+18.2%), $1.6 billion in FY2023 (-13.9%), $1.86 billion in FY2022 (+9.0%) and $1.71 billion in FY2021 (+16.4%).
- Quarterly Total Current Liabilities has ranged from $1.58 billion in fiscal Q1 2022 to $2.39 billion in fiscal Q3 2024 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for four consecutive quarters, with growth averaging 11.6% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 35.7% in fiscal Q3 2024, against a decline of 20.8% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.27 billion (Q2 2026), $2.23 billion (Q1 2026) and $2.35 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 2.29 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.29 Bn |
| Apr 30, 2026 | 2.27 Bn |
| Jan 31, 2026 | 2.23 Bn |
| Oct 31, 2025 | 2.35 Bn |
| Jul 31, 2025 | 1.89 Bn |
| Apr 30, 2025 | 2.01 Bn |
| Jan 31, 2025 | 1.87 Bn |
| Oct 31, 2024 | 1.90 Bn |
| Jul 31, 2024 | 2.39 Bn |
| Apr 30, 2024 | 1.96 Bn |
| Jan 31, 2024 | 1.62 Bn |
| Oct 31, 2023 | 1.60 Bn |
| Jul 31, 2023 | 1.76 Bn |
| Apr 30, 2023 | 1.67 Bn |
| Jan 31, 2023 | 1.94 Bn |
| Oct 31, 2022 | 1.86 Bn |
| Jul 31, 2022 | 1.90 Bn |
| Apr 30, 2022 | 1.81 Bn |
| Jan 31, 2022 | 1.58 Bn |
| Oct 31, 2021 | 1.71 Bn |
API Access
Agilent Technologies Total 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-current-liabilities&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();