Angiodynamics (ANGO) Other Non-Current Liabilities (2012 - 2026)
Angiodynamics (ANGO) recorded Other Non-Current Liabilities of $16.31 million in fiscal Q4 2026 (quarter ended May 31, 2026), down 3.5% from $16.9 million a year earlier and down 2.4% from the prior quarter.
Angiodynamics (ANGO) Other Non-Current Liabilities (2012 - 2026) Analysis & Trends
Starting with fiscal Q4 2012, Angiodynamics' Other Non-Current Liabilities history includes 55 quarters.
- Annual Other Non-Current Liabilities has a five-year compound annual growth rate of 0.7% (FY2021 to FY2026).
- Across earlier fiscal years, Other Non-Current Liabilities came in at $16.9 million in FY2025 (+5.1%), $16.08 million in FY2024 (+254.5%), $4.54 million in FY2023 (-44.5%) and $8.17 million in FY2022 (-48.1%).
- Quarterly Other Non-Current Liabilities has ranged from $2.6 million in fiscal Q2 2024 to $17.37 million in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Other Non-Current Liabilities rose in five of the last eight quarters, with growth averaging 82.9%.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 355.5% in fiscal Q2 2025, against a decline of 71.3% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $16.7 million (Q3 2026), $17.05 million (Q2 2026) and $14.24 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Angiodynamics | 650.53 Mn | 478.45 Mn | 46.77 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 16.31 Mn |
| Feb 28, 2026 | 16.70 Mn |
| Nov 30, 2025 | 17.05 Mn |
| Aug 31, 2025 | 14.24 Mn |
| May 31, 2025 | 16.90 Mn |
| Feb 28, 2025 | 17.37 Mn |
| Nov 30, 2024 | 11.85 Mn |
| Aug 31, 2024 | 15.72 Mn |
| May 31, 2024 | 16.08 Mn |
| Feb 29, 2024 | 14.35 Mn |
| Nov 30, 2023 | 2.60 Mn |
| Aug 31, 2023 | 4.44 Mn |
| May 31, 2023 | 4.54 Mn |
| Feb 28, 2023 | 9.18 Mn |
| Nov 30, 2022 | 9.07 Mn |
| Aug 31, 2022 | 8.27 Mn |
| May 31, 2022 | 8.17 Mn |
| Feb 28, 2022 | 16.74 Mn |
| Nov 30, 2021 | 16.54 Mn |
| Aug 31, 2021 | 15.94 Mn |
Angiodynamics 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=ANGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();