Angiodynamics (ANGO) Total Liabilities (2011 - 2026)
Angiodynamics (ANGO) posted Total Liabilities of $77.97 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 10.2% from $86.79 million a year earlier and down 19.1% from the prior quarter.
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Analysis
Angiodynamics (ANGO) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Angiodynamics' Total Liabilities came in at $96.34 million, down 0.9% from FY2025.
- 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%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Total Liabilities since fiscal Q1 2024.
- On a year-over-year basis, Total Liabilities has declined in each of the last seven quarters, with an average decline of 7.2% 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 $96.34 million (Q4 2026), $87.32 million (Q3 2026) and $93.35 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.25 Bn | 233.28 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 178.08 Bn | 148.51 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 163.23 Bn | 147.04 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 156.27 Bn | 135.69 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 122.85 Bn | 88.10 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 118.37 Bn | 104.48 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 67.13 Bn | 61.90 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 54.72 Bn | 51.87 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 51.63 Bn | 35.64 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Angiodynamics | 502.58 Mn | 335.30 Mn | 48.04 Mn | 77.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 77.97 Mn |
| 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 |
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();