Angiodynamics (ANGO) Enterprise Value (2010 - 2026)
Angiodynamics (ANGO) reported Enterprise Value of $650.33 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 68.3% from $386.48 million a year earlier and up 53.1% from the prior quarter.
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Analysis
Angiodynamics (ANGO) Enterprise Value (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Angiodynamics' Enterprise Value came in at $517.02 million, up 123.1% year-over-year; for FY2026 (ended May 31, 2026), it was $424.86 million, up 17.3% from FY2025.
- Enterprise Value has a five-year compound annual growth rate of -12.8% (FY2021 to FY2026).
- By fiscal year, Enterprise Value came in at $362.25 million in FY2025 (+102.3%), $179.07 million in FY2024 (-45.8%), $330.1 million in FY2023 (-55.4%) and $740.11 million in FY2022 (-12.2%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Enterprise Value since fiscal Q1 2023.
- Year over year, Enterprise Value has now increased in each of the last eight quarters, with growth averaging 65.9% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was fiscal Q3 2025 (growth of 134.1%); the low point was fiscal Q3 2024 (a decline of 68.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $424.86 million (Q4 2026), $439.03 million (Q3 2026) and $473.88 million (Q2 2026).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 650.33 Mn |
| May 31, 2026 | 424.86 Mn |
| Feb 28, 2026 | 439.03 Mn |
| Nov 30, 2025 | 473.88 Mn |
| Aug 31, 2025 | 386.48 Mn |
| May 31, 2025 | 362.25 Mn |
| Feb 28, 2025 | 335.86 Mn |
| Nov 30, 2024 | 228.90 Mn |
| Aug 31, 2024 | 250.89 Mn |
| May 31, 2024 | 179.07 Mn |
| Feb 29, 2024 | 143.48 Mn |
| Nov 30, 2023 | 201.77 Mn |
| Aug 31, 2023 | 265.35 Mn |
| May 31, 2023 | 330.10 Mn |
| Feb 28, 2023 | 460.22 Mn |
| Nov 30, 2022 | 481.72 Mn |
| Aug 31, 2022 | 849.47 Mn |
| May 31, 2022 | 740.11 Mn |
| Feb 28, 2022 | 897.31 Mn |
| Nov 30, 2021 | 972.15 Mn |
API Access
Angiodynamics Enterprise Value 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=enterprise-value&ticker=ANGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();