Steris (STE) Dividends Paid - Common (2018 - 2026)
Steris (STE) reported Dividends Paid - Common of $61.4 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 9.3% from $56.2 million a year earlier but down 0.6% from the prior quarter.
Steris (STE) Dividends Paid - Common (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Steris' Dividends Paid - Common came in at $247 million, up 9.9% year-over-year; for FY2026 (ended Mar 31, 2026), it was $241.8 million, up 10.0% from FY2025.
- Dividends Paid - Common has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 12.6% (FY2021 to FY2026).
- By fiscal year, Dividends Paid - Common came in at $219.9 million in FY2025 (+9.6%), $200.6 million in FY2024 (+9.3%), $183.5 million in FY2023 (+12.5%) and $163.17 million in FY2022 (+21.9%).
- Five-year quarterly Dividends Paid - Common spans a low of $42.96 million in fiscal Q2 2022 and a high of $61.9 million in fiscal Q3 2026.
- Year over year, Dividends Paid - Common has now increased in each of the last 29 quarters, with growth averaging 9.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Dividends Paid - Common ran from 7.9% in fiscal Q1 2024 to 26.1% in fiscal Q4 2022.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $61.8 million (Q4 2026), $61.9 million (Q3 2026) and $61.9 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Paid (Common) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 175.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.10 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 921.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Steris | 20.49 Bn | 18.84 Bn | 684.20 Mn | 61.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.40 Mn |
| Mar 31, 2026 | 61.80 Mn |
| Dec 31, 2025 | 61.90 Mn |
| Sep 30, 2025 | 61.90 Mn |
| Jun 30, 2025 | 56.20 Mn |
| Mar 31, 2025 | 56.00 Mn |
| Dec 31, 2024 | 56.20 Mn |
| Sep 30, 2024 | 56.30 Mn |
| Jun 30, 2024 | 51.40 Mn |
| Mar 31, 2024 | 51.43 Mn |
| Dec 31, 2023 | 51.38 Mn |
| Sep 30, 2023 | 51.37 Mn |
| Jun 30, 2023 | 46.43 Mn |
| Mar 31, 2023 | 46.60 Mn |
| Dec 31, 2022 | 46.92 Mn |
| Sep 30, 2022 | 46.97 Mn |
| Jun 30, 2022 | 43.01 Mn |
| Mar 31, 2022 | 43.05 Mn |
| Dec 31, 2021 | 43.01 Mn |
| Sep 30, 2021 | 42.96 Mn |
Steris Dividends Paid - Common 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=dividends-paid-common&ticker=STE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common", "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=dividends-paid-common&ticker=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();