Angiodynamics (ANGO) Enterprise Value (2009 - 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.
Angiodynamics (ANGO) Enterprise Value (2009 - 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Angiodynamics | 20.48 Mn | -146.80 Mn | 48.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -6.60 Mn |
| May 31, 2026 | -34.72 Mn |
| Feb 28, 2026 | -18.74 Mn |
| Nov 30, 2025 | -21.02 Mn |
| Aug 31, 2025 | -21.75 Mn |
| May 31, 2025 | -39.17 Mn |
| Feb 28, 2025 | -29.54 Mn |
| Nov 30, 2024 | -42.77 Mn |
| Aug 31, 2024 | -42.77 Mn |
| May 31, 2024 | -65.85 Mn |
| Feb 29, 2024 | -69.57 Mn |
| Nov 30, 2023 | -50.39 Mn |
| Aug 31, 2023 | -44.67 Mn |
| May 31, 2023 | -35.79 Mn |
| Feb 28, 2023 | -10.50 Mn |
| Nov 30, 2022 | -9.39 Mn |
| Aug 31, 2022 | 10.40 Mn |
| May 31, 2022 | 1.93 Mn |
| Feb 28, 2022 | 12.96 Mn |
| Nov 30, 2021 | 5.97 Mn |
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_KEY
import 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();