Angiodynamics (ANGO) Shares Outstanding (Diluted) (2009 - 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) (2009 - 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 | 266.22 Bn | 242.86 Bn | 5.13 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 1.74 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 706.80 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 351.60 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 384.70 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 1.32 Bn |
| 10 | Angiodynamics | 20.48 Mn | -146.80 Mn | 48.04 Mn | 1.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.68 Mn |
| May 31, 2026 | 1.66 Mn |
| Feb 28, 2026 | 1.66 Mn |
| Nov 30, 2025 | 1.66 Mn |
| Aug 31, 2025 | 1.65 Mn |
| May 31, 2025 | 1.63 Mn |
| Feb 28, 2025 | 1.63 Mn |
| Nov 30, 2024 | 1.64 Mn |
| Aug 31, 2024 | 1.63 Mn |
| May 31, 2024 | 1.61 Mn |
| Feb 29, 2024 | 1.61 Mn |
| Nov 30, 2023 | 1.61 Mn |
| Aug 31, 2023 | 1.60 Mn |
| May 31, 2023 | 1.58 Mn |
| Feb 28, 2023 | 1.58 Mn |
| Nov 30, 2022 | 1.58 Mn |
| Aug 31, 2022 | 1.57 Mn |
| May 31, 2022 | 1.56 Mn |
| Feb 28, 2022 | 1.56 Mn |
| Nov 30, 2021 | 1.56 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();