Angiodynamics (ANGO) Total Non-Current Liabilities (2012 - 2026)
Angiodynamics' Total Non-Current Liabilities came in at $64.37 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 11.3% from $72.55 million a year earlier and down 19.6% from the prior quarter.
Angiodynamics (ANGO) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Angiodynamics' Total Non-Current Liabilities was $80.03 million, down 0.3% from FY2025.
- Total Non-Current Liabilities has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -5.5% (FY2021 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $80.27 million in FY2025 (-16.4%), $96.01 million in FY2024 (-35.9%), $149.81 million in FY2023 (+24.7%) and $120.1 million in FY2022 (+13.0%).
- The fiscal Q1 2027 figure represents the lowest quarterly Total Non-Current Liabilities since fiscal Q1 2024.
- Year-over-year, Total Non-Current Liabilities has declined for eight consecutive quarters, with an average decline of 10.5% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q3 2023 (growth of 40.6%), and the weakest in fiscal Q1 2024 (a decline of 54.4%).
- Business Quant data shows ANGO's Total Non-Current Liabilities at $80.03 million (Q4 2026), $70.62 million (Q3 2026) and $76.29 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | - |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Angiodynamics | 499.01 Mn | 331.73 Mn | 48.04 Mn | 64.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 64.37 Mn |
| May 31, 2026 | 80.03 Mn |
| Feb 28, 2026 | 70.62 Mn |
| Nov 30, 2025 | 76.29 Mn |
| Aug 31, 2025 | 72.55 Mn |
| May 31, 2025 | 80.27 Mn |
| Feb 28, 2025 | 82.17 Mn |
| Nov 30, 2024 | 92.98 Mn |
| Aug 31, 2024 | 81.33 Mn |
| May 31, 2024 | 96.01 Mn |
| Feb 29, 2024 | 91.79 Mn |
| Nov 30, 2023 | 95.80 Mn |
| Aug 31, 2023 | 58.73 Mn |
| May 31, 2023 | 146.46 Mn |
| Feb 28, 2023 | 132.93 Mn |
| Nov 30, 2022 | 137.65 Mn |
| Aug 31, 2022 | 131.35 Mn |
| May 31, 2022 | 115.36 Mn |
| Feb 28, 2022 | 91.33 Mn |
| Nov 30, 2021 | 97.47 Mn |
Angiodynamics 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=ANGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();