Angiodynamics (ANGO) Price to FCF (2011 - 2026)
Angiodynamics' (ANGO) Price to FCF came in at 942.36 for fiscal Q4 2026 (quarter ended May 31, 2026), up 165.0% from the prior quarter.
Analysis
Angiodynamics (ANGO) Price to FCF (2011 - 2026) Analysis & Trends
Since fiscal Q1 2012, Angiodynamics has reported Price to FCF for 40 quarters.
- The fiscal Q4 2026 figure stands as the highest quarterly Price to FCF since fiscal Q3 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.80 Bn | 230.83 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 178.01 Bn | 148.44 Bn | 7.27 Bn |
| 3 | Danaher | 161.86 Bn | 145.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 154.73 Bn | 135.02 Bn | 2.08 Bn |
| 5 | Medtronic | 123.01 Bn | 88.27 Bn | 6.34 Bn |
| 6 | Stryker | 117.47 Bn | 103.59 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.41 Bn | 62.18 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.77 Bn | 51.91 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.69 Bn | 35.70 Bn | 1.35 Bn |
| 10 | Angiodynamics | 503.63 Mn | 336.35 Mn | 48.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 942.36 |
| Feb 28, 2026 | 166.73 |
| Aug 31, 2021 | 93.91 |
| May 31, 2021 | 47.14 |
| Feb 28, 2021 | 82.93 |
| Feb 29, 2020 | 62,480.58 |
| Nov 30, 2019 | 21.60 |
| Aug 31, 2019 | 19.41 |
| May 31, 2019 | 20.59 |
| Feb 28, 2019 | 25.41 |
| Nov 30, 2018 | 27.24 |
| Aug 31, 2018 | 31.36 |
| May 31, 2018 | 20.13 |
| Feb 28, 2018 | 17.75 |
| Nov 30, 2017 | 14.40 |
| Aug 31, 2017 | 13.05 |
| May 31, 2017 | 10.53 |
| Feb 28, 2017 | 11.43 |
| Nov 30, 2016 | 11.82 |
| Aug 31, 2016 | 13.24 |
API Access
Angiodynamics Price to FCF 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=price-to-fcf&ticker=ANGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "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=price-to-fcf&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();