Steris (STE) Shares Outstanding (Diluted) (2018 - 2026)
Steris (STE) reported Shares Outstanding (Diluted) of 97.9 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 0.9% from 98.8 million a year earlier and down 0.8% from the prior quarter.
Steris (STE) Shares Outstanding (Diluted) (2018 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Steris posted Shares Outstanding (Diluted) of 98.7 million, down 0.4% from FY2025.
- Shares Outstanding (Diluted) has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 2.8% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding (Diluted) came in at 99.07 million in FY2025 (-0.3%), 99.36 million in FY2024 (-0.9%), 100.25 million in FY2023 (+2.0%) and 98.33 million in FY2022 (+14.5%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Shares Outstanding (Diluted) since fiscal Q1 2022.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last eight quarters, with an average decline of 0.4% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was fiscal Q2 2022 (growth of 17.3%); the low point was fiscal Q1 2024 (a decline of 1.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 98.7 million (Q4 2026), 98.6 million (Q3 2026) and 98.8 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 357.30 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 386.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 275.16 Mn |
| 10 | Steris | 20.49 Bn | 18.84 Bn | 684.20 Mn | 97.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 97.90 Mn |
| Mar 31, 2026 | 98.70 Mn |
| Dec 31, 2025 | 98.60 Mn |
| Sep 30, 2025 | 98.80 Mn |
| Jun 30, 2025 | 98.80 Mn |
| Mar 31, 2025 | 99.07 Mn |
| Dec 31, 2024 | 98.94 Mn |
| Sep 30, 2024 | 99.20 Mn |
| Jun 30, 2024 | 99.38 Mn |
| Mar 31, 2024 | 99.36 Mn |
| Dec 31, 2023 | 99.35 Mn |
| Sep 30, 2023 | 99.41 Mn |
| Jun 30, 2023 | 99.24 Mn |
| Mar 31, 2023 | 100.25 Mn |
| Dec 31, 2022 | 100.17 Mn |
| Sep 30, 2022 | 99.97 Mn |
| Jun 30, 2022 | 100.72 Mn |
| Mar 31, 2022 | 98.33 Mn |
| Dec 31, 2021 | 100.83 Mn |
| Sep 30, 2021 | 100.69 Mn |
Steris 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=STE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "STE", "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=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();