Steris (STE) EBIT (2018 - 2026)
Steris' EBIT was $285.8 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 16.2% from $246 million a year earlier but down 9.8% from the prior quarter.
Steris (STE) EBIT (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Steris' EBIT was $1.14 billion through Jun 30, 2026, up 23.1% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $1.1 billion, up 27.1% from FY2025.
- EBIT has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 15.0% (FY2021 to FY2026).
- In earlier fiscal years, EBIT was $866.6 million in FY2025 (+3.6%), $836.1 million in FY2024 (+5.7%), $791.1 million in FY2023 (+65.6%) and $477.82 million in FY2022 (-12.9%).
- Quarterly EBIT has moved between -$306.42 million (fiscal Q2 2023) and $748.32 million (fiscal Q4 2023) over five years.
- Compared with a year earlier, EBIT has increased for five straight quarters, with growth averaging 18.6% over the last eight quarters.
- The best year-over-year quarter for EBIT over five years was fiscal Q4 2023 (growth of 419.5%); the worst was fiscal Q4 2024 (a decline of 70.6%).
- Per Business Quant data, STE's EBIT in the three fiscal quarters before Q1 2027 was $316.8 million (Q4 2026), $273.2 million (Q3 2026) and $265.8 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 513.20 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 663.00 Mn |
| 10 | Steris | 20.49 Bn | 18.84 Bn | 684.20 Mn | 285.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 285.80 Mn |
| Mar 31, 2026 | 316.80 Mn |
| Dec 31, 2025 | 273.20 Mn |
| Sep 30, 2025 | 265.80 Mn |
| Jun 30, 2025 | 246.00 Mn |
| Mar 31, 2025 | 216.10 Mn |
| Dec 31, 2024 | 245.30 Mn |
| Sep 30, 2024 | 219.70 Mn |
| Jun 30, 2024 | 185.50 Mn |
| Mar 31, 2024 | 220.32 Mn |
| Dec 31, 2023 | 226.47 Mn |
| Sep 30, 2023 | 191.55 Mn |
| Jun 30, 2023 | 197.76 Mn |
| Mar 31, 2023 | 748.32 Mn |
| Dec 31, 2022 | 190.80 Mn |
| Sep 30, 2022 | -306.42 Mn |
| Jun 30, 2022 | 158.40 Mn |
| Mar 31, 2022 | 144.06 Mn |
| Dec 31, 2021 | 202.93 Mn |
| Sep 30, 2021 | 116.50 Mn |
Steris EBIT 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=ebit&ticker=STE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();