Angiodynamics (ANGO) Total Current Liabilities (2009 - 2026)
Angiodynamics (ANGO) recorded Total Current Liabilities of $59.69 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), down 12.6% from $68.28 million a year earlier and down 20.1% from the prior quarter.
Angiodynamics (ANGO) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Angiodynamics reported Total Current Liabilities of $74.72 million, down 1.9% from FY2025.
- 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%).
- The fiscal Q1 2027 figure is the lowest quarterly Total Current Liabilities since fiscal Q1 2024.
- On a year-over-year basis, Total Current Liabilities has declined for seven consecutive quarters, with an average decline of 9.0% 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 $74.72 million (Q4 2026), $66.07 million (Q3 2026) and $71.96 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 9.05 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 3.13 Bn |
| 10 | Angiodynamics | 20.48 Mn | -146.80 Mn | 48.04 Mn | 59.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 59.69 Mn |
| 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 |
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();