Steris (STE) EBITDA (2018 - 2026)
Steris (STE) reported EBITDA of $409.6 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 12.1% from $365.4 million a year earlier but down 7.0% from the prior quarter.
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Analysis
Steris (STE) EBITDA (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Steris' EBITDA came in at $1.63 billion, up 15.8% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $1.59 billion, up 18.3% from FY2025.
- EBITDA has a five-year compound annual growth rate of 15.7% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $1.34 billion in FY2025 (-4.2%), $1.4 billion in FY2024 (+4.3%), $1.34 billion in FY2023 (+30.4%) and $1.03 billion in FY2022 (+34.3%).
- Five-year quarterly EBITDA spans a low of -$172.54 million in fiscal Q2 2023 and a high of $890.52 million in fiscal Q4 2023.
- Year over year, EBITDA has now increased in each of the last five quarters, with growth averaging 10.1% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was fiscal Q1 2023 (growth of 203.5%); the low point was fiscal Q4 2024 (a decline of 60.2%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $440.2 million (Q4 2026), $395.2 million (Q3 2026) and $387.5 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 555.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 1.23 Bn |
| 10 | Steris | 20.49 Bn | 18.84 Bn | 684.20 Mn | 409.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 409.60 Mn |
| Mar 31, 2026 | 440.20 Mn |
| Dec 31, 2025 | 395.20 Mn |
| Sep 30, 2025 | 387.50 Mn |
| Jun 30, 2025 | 365.40 Mn |
| Mar 31, 2025 | 338.40 Mn |
| Dec 31, 2024 | 371.20 Mn |
| Sep 30, 2024 | 335.00 Mn |
| Jun 30, 2024 | 298.20 Mn |
| Mar 31, 2024 | 354.71 Mn |
| Dec 31, 2023 | 367.10 Mn |
| Sep 30, 2023 | 343.81 Mn |
| Jun 30, 2023 | 335.69 Mn |
| Mar 31, 2023 | 890.52 Mn |
| Dec 31, 2022 | 328.75 Mn |
| Sep 30, 2022 | -172.54 Mn |
| Jun 30, 2022 | 297.26 Mn |
| Mar 31, 2022 | 377.89 Mn |
| Dec 31, 2021 | 320.54 Mn |
| Sep 30, 2021 | 234.55 Mn |
API Access
Steris EBITDA 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=ebitda&ticker=STE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();