Angiodynamics (ANGO) Prepaid Assets (2011 - 2026)
Angiodynamics (ANGO) posted Prepaid Assets of $9.17 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 29.4% from $13 million a year earlier but up 4.6% from the prior quarter.
Angiodynamics (ANGO) Prepaid Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Angiodynamics' Prepaid Assets came in at $8.77 million, up 16.4% from FY2025.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 0.2% (FY2021 to FY2026).
- In prior fiscal years, Angiodynamics' Prepaid Assets was $7.54 million in FY2025 (-41.9%), $12.97 million in FY2024 (+180.9%), $4.62 million in FY2023 (-57.3%) and $10.82 million in FY2022 (+24.4%).
- Quarterly Prepaid Assets has run from a low of $4.62 million in fiscal Q4 2023 to a high of $15.61 million in fiscal Q1 2023 over five years.
- On a year-over-year basis, Prepaid Assets increased in three of the last eight quarters, with an average decline of 1.0%.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was fiscal Q4 2024, with growth of 180.9%; the weakest was fiscal Q4 2023, with a decline of 57.3%.
- According to Business Quant data, Prepaid Assets for the three prior fiscal quarters was $8.77 million (Q4 2026), $13.61 million (Q3 2026) and $9.71 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Angiodynamics | 499.01 Mn | 331.73 Mn | 48.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 9.17 Mn |
| May 31, 2026 | 8.77 Mn |
| Feb 28, 2026 | 13.61 Mn |
| Nov 30, 2025 | 9.71 Mn |
| Aug 31, 2025 | 13.00 Mn |
| May 31, 2025 | 7.54 Mn |
| Feb 28, 2025 | 15.44 Mn |
| Nov 30, 2024 | 12.20 Mn |
| Aug 31, 2024 | 13.33 Mn |
| May 31, 2024 | 12.97 Mn |
| Feb 29, 2024 | 10.91 Mn |
| Nov 30, 2023 | 8.72 Mn |
| Aug 31, 2023 | 8.16 Mn |
| May 31, 2023 | 4.62 Mn |
| Feb 28, 2023 | 8.04 Mn |
| Nov 30, 2022 | 12.94 Mn |
| Aug 31, 2022 | 15.61 Mn |
| May 31, 2022 | 10.82 Mn |
| Feb 28, 2022 | 13.95 Mn |
| Nov 30, 2021 | 11.51 Mn |
Angiodynamics Prepaid Assets 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=prepaid-assets&ticker=ANGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();