Angiodynamics (ANGO) Cash & Equivalents (2009 - 2026)
Angiodynamics (ANGO) posted Cash & Equivalents of $33.97 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 12.4% from $38.76 million a year earlier and down 36.9% from the prior quarter.
Angiodynamics (ANGO) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Angiodynamics' Cash & Equivalents came in at $53.86 million, down 3.6% from FY2025.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 2.3% (FY2021 to FY2026).
- In prior fiscal years, Angiodynamics' Cash & Equivalents was $55.89 million in FY2025 (-26.5%), $76.06 million in FY2024 (+70.5%), $44.62 million in FY2023 (+54.8%) and $28.83 million in FY2022 (-40.1%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Cash & Equivalents since fiscal Q3 2023.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last nine quarters, with an average decline of 20.6% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q3 2024, with growth of 160.5%; the weakest was fiscal Q3 2022, with a decline of 56.1%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $53.86 million (Q4 2026), $37.81 million (Q3 2026) and $41.64 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 5.46 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 4.05 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 5.68 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 3.27 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 609.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 3.11 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 2.32 Bn |
| 10 | Angiodynamics | 20.48 Mn | -146.80 Mn | 48.04 Mn | 33.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 33.97 Mn |
| May 31, 2026 | 53.86 Mn |
| Feb 28, 2026 | 37.81 Mn |
| Nov 30, 2025 | 41.64 Mn |
| Aug 31, 2025 | 38.76 Mn |
| May 31, 2025 | 55.89 Mn |
| Feb 28, 2025 | 44.76 Mn |
| Nov 30, 2024 | 54.09 Mn |
| Aug 31, 2024 | 55.01 Mn |
| May 31, 2024 | 76.06 Mn |
| Feb 29, 2024 | 78.45 Mn |
| Nov 30, 2023 | 60.90 Mn |
| Aug 31, 2023 | 57.59 Mn |
| May 31, 2023 | 44.62 Mn |
| Feb 28, 2023 | 30.11 Mn |
| Nov 30, 2022 | 29.86 Mn |
| Aug 31, 2022 | 24.56 Mn |
| May 31, 2022 | 28.83 Mn |
| Feb 28, 2022 | 23.89 Mn |
| Nov 30, 2021 | 34.29 Mn |
Angiodynamics Cash & Equivalents 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=cash-and-equivalents&ticker=ANGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();