Angiodynamics (ANGO) Shares Outstanding (Diluted) (2010 - 2026)
Angiodynamics (ANGO) reported Shares Outstanding (Diluted) of 42.02 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 2.1% from 41.17 million a year earlier and up 1.2% from the prior quarter.
Angiodynamics (ANGO) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Angiodynamics posted Shares Outstanding (Diluted) of 41.53 million, up 1.6% from FY2025.
- Shares Outstanding (Diluted) has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 1.6% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding (Diluted) came in at 40.85 million in FY2025 (+1.7%), 40.18 million in FY2024 (+1.8%), 39.48 million in FY2023 (+1.2%) and 39.01 million in FY2022 (+1.7%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q1 2011.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 26 quarters, with growth averaging 1.7% over the last eight quarters.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 41.53 million (Q4 2026), 41.6 million (Q3 2026) and 41.54 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 357.30 Mn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 386.00 Mn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 275.16 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 577.60 Mn |
| 10 | Angiodynamics | 499.01 Mn | 331.73 Mn | 48.04 Mn | 42.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 42.02 Mn |
| May 31, 2026 | 41.53 Mn |
| Feb 28, 2026 | 41.60 Mn |
| Nov 30, 2025 | 41.54 Mn |
| Aug 31, 2025 | 41.17 Mn |
| May 31, 2025 | 40.85 Mn |
| Feb 28, 2025 | 40.85 Mn |
| Nov 30, 2024 | 40.92 Mn |
| Aug 31, 2024 | 40.65 Mn |
| May 31, 2024 | 40.18 Mn |
| Feb 29, 2024 | 40.23 Mn |
| Nov 30, 2023 | 40.22 Mn |
| Aug 31, 2023 | 39.97 Mn |
| May 31, 2023 | 39.48 Mn |
| Feb 28, 2023 | 39.51 Mn |
| Nov 30, 2022 | 39.49 Mn |
| Aug 31, 2022 | 39.30 Mn |
| May 31, 2022 | 39.01 Mn |
| Feb 28, 2022 | 39.09 Mn |
| Nov 30, 2021 | 39.05 Mn |
Angiodynamics Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=ANGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();