Angiodynamics (ANGO) Total Liabilities (2011 - 2026)
Angiodynamics (ANGO) posted Total Liabilities of $96.34 million for fiscal Q4 2026 (quarter ended May 31, 2026), down 0.9% from $97.17 million a year earlier but up 10.3% from the prior quarter.
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Analysis
Angiodynamics (ANGO) Total Liabilities (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Angiodynamics has reported Total Liabilities for 59 quarters.
- Annual Total Liabilities has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -4.6% (FY2021 to FY2026).
- In prior fiscal years, Angiodynamics' Total Liabilities was $97.17 million in FY2025 (-13.3%), $112.09 million in FY2024 (-27.4%), $154.34 million in FY2023 (+20.3%) and $128.26 million in FY2022 (+5.1%).
- Quarterly Total Liabilities has run from a low of $66.15 million in fiscal Q1 2024 to a high of $154.34 million in fiscal Q4 2023 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last six quarters, with an average decline of 0.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2025, with growth of 46.7%; the weakest was fiscal Q1 2024, with a decline of 54.0%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $87.32 million (Q3 2026), $93.35 million (Q2 2026) and $86.79 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Angiodynamics | 650.53 Mn | 478.45 Mn | 46.77 Mn | 96.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 96.34 Mn |
| Feb 28, 2026 | 87.32 Mn |
| Nov 30, 2025 | 93.35 Mn |
| Aug 31, 2025 | 86.79 Mn |
| May 31, 2025 | 97.17 Mn |
| Feb 28, 2025 | 99.55 Mn |
| Nov 30, 2024 | 104.83 Mn |
| Aug 31, 2024 | 97.05 Mn |
| May 31, 2024 | 112.09 Mn |
| Feb 29, 2024 | 106.14 Mn |
| Nov 30, 2023 | 98.40 Mn |
| Aug 31, 2023 | 66.15 Mn |
| May 31, 2023 | 154.34 Mn |
| Feb 28, 2023 | 145.19 Mn |
| Nov 30, 2022 | 150.25 Mn |
| Aug 31, 2022 | 143.66 Mn |
| May 31, 2022 | 128.26 Mn |
| Feb 28, 2022 | 113.49 Mn |
| Nov 30, 2021 | 121.74 Mn |
| Aug 31, 2021 | 119.81 Mn |
API Access
Angiodynamics Total 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-liabilities&ticker=ANGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();