Angiodynamics (ANGO) Total Current Liabilities (2011 - 2026)
Angiodynamics (ANGO) recorded Total Current Liabilities of $74.72 million in fiscal Q4 2026 (quarter ended May 31, 2026), down 1.9% from $76.2 million a year earlier but up 13.1% from the prior quarter.
Angiodynamics (ANGO) Total Current Liabilities (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Angiodynamics' Total Current Liabilities history includes 59 quarters.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 5.3% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $76.2 million in FY2025 (-16.4%), $91.16 million in FY2024 (+8.7%), $83.83 million in FY2023 (+12.8%) and $74.32 million in FY2022 (+29.1%).
- Quarterly Total Current Liabilities has ranged from $49.37 million in fiscal Q3 2022 to $91.16 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Total Current Liabilities has declined for six consecutive quarters, with an average decline of 3.2% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 41.0% in fiscal Q3 2023, against a decline of 18.8% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $66.07 million (Q3 2026), $71.96 million (Q2 2026) and $68.28 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.51 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 9.40 Bn |
| 10 | Angiodynamics | 650.53 Mn | 478.45 Mn | 46.77 Mn | 74.72 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 74.72 Mn |
| Feb 28, 2026 | 66.07 Mn |
| Nov 30, 2025 | 71.96 Mn |
| Aug 31, 2025 | 68.28 Mn |
| May 31, 2025 | 76.20 Mn |
| Feb 28, 2025 | 77.97 Mn |
| Nov 30, 2024 | 88.60 Mn |
| Aug 31, 2024 | 76.70 Mn |
| May 31, 2024 | 91.16 Mn |
| Feb 29, 2024 | 85.87 Mn |
| Nov 30, 2023 | 78.04 Mn |
| Aug 31, 2023 | 57.45 Mn |
| May 31, 2023 | 83.83 Mn |
| Feb 28, 2023 | 69.63 Mn |
| Nov 30, 2022 | 73.57 Mn |
| Aug 31, 2022 | 66.39 Mn |
| May 31, 2022 | 74.32 Mn |
| Feb 28, 2022 | 49.37 Mn |
| Nov 30, 2021 | 54.48 Mn |
| Aug 31, 2021 | 52.10 Mn |
Angiodynamics 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=ANGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "ANGO", "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=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();