Steris (STE) EPS (Diluted) (2018 - 2026)
Steris (STE) posted EPS (Diluted) of $2.04 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 13.8% from $1.80 a year earlier but down 8.4% from the prior quarter.
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Analysis
Steris (STE) EPS (Diluted) (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Steris was $8.22, up 25.7% year-over-year; for FY2026 (ended Mar 31, 2026), it was $7.93, up 27.8% from FY2025.
- Annual EPS (Diluted) has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 11.4% (FY2021 to FY2026).
- In prior fiscal years, Steris' EPS (Diluted) was $6.20 in FY2025 (+63.0%), $3.81 in FY2024 (+256.5%), $1.07 in FY2023 (-57.0%) and $2.48 in FY2022 (-46.4%).
- Quarterly EPS (Diluted) has run from a low of -$3.15 in fiscal Q2 2023 to a high of $2.23 in fiscal Q4 2026 over five years.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last five quarters, with growth averaging 26.1% over the last seven quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was fiscal Q4 2023, with growth of 251.4%; the weakest was fiscal Q4 2022, with a decline of 47.8%.
- According to Business Quant data, EPS (Diluted) for the three prior fiscal quarters was $2.23 (Q4 2026), $1.96 (Q3 2026) and $1.94 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 4.68 |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 0.53 |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.23 |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.29 |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.14 |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.31 |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 0.61 |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 0.42 |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 1.37 |
| 10 | Steris | 20.49 Bn | 18.84 Bn | 684.20 Mn | 2.04 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.04 |
| Mar 31, 2026 | 2.23 |
| Dec 31, 2025 | 1.96 |
| Sep 30, 2025 | 1.94 |
| Jun 30, 2025 | 1.80 |
| Mar 31, 2025 | 1.47 |
| Dec 31, 2024 | 1.75 |
| Sep 30, 2024 | 1.51 |
| Jun 30, 2024 | 1.46 |
| Mar 31, 2024 | -0.01 |
| Dec 31, 2023 | 1.42 |
| Sep 30, 2023 | 1.16 |
| Jun 30, 2023 | 1.25 |
| Mar 31, 2023 | 1.87 |
| Dec 31, 2022 | 1.24 |
| Sep 30, 2022 | -3.15 |
| Jun 30, 2022 | 1.10 |
| Mar 31, 2022 | 0.53 |
| Dec 31, 2021 | 1.42 |
| Sep 30, 2021 | 0.69 |
API Access
Steris EPS (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=eps-diluted&ticker=STE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();