Steris (STE) Operating Expenses (2018 - 2026)
Steris' Operating Expenses came in at $398.3 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 4.3% from $382 million a year earlier and up 4.7% from the prior quarter.
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Analysis
Steris (STE) Operating Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Steris reported Operating Expenses of $1.54 billion, up 0.6% year-over-year; for FY2026 (ended Mar 31, 2026), it was $1.52 billion, down 0.7% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 13.9% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $1.54 billion in FY2025 (+11.2%), $1.38 billion in FY2024 (+16.2%), $1.19 billion in FY2023 (-15.3%) and $1.41 billion in FY2022 (+76.8%).
- The fiscal Q1 2027 figure represents the highest quarterly Operating Expenses since fiscal Q4 2025.
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 3.9%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2023 (growth of 130.5%), and the weakest in fiscal Q2 2024 (a decline of 57.7%).
- Business Quant data shows STE's Operating Expenses at $380.3 million (Q4 2026), $382.3 million (Q3 2026) and $380.1 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 9.87 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 11.66 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 2.59 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 3.21 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 2.60 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 844.30 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Steris | 24.59 Bn | 22.71 Bn | 710.80 Mn | 416.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 416.60 Mn |
| Jun 30, 2026 | 398.30 Mn |
| Mar 31, 2026 | 380.30 Mn |
| Dec 31, 2025 | 382.30 Mn |
| Sep 30, 2025 | 380.10 Mn |
| Jun 30, 2025 | 382.00 Mn |
| Mar 31, 2025 | 425.00 Mn |
| Dec 31, 2024 | 365.00 Mn |
| Sep 30, 2024 | 359.10 Mn |
| Jun 30, 2024 | 386.90 Mn |
| Mar 31, 2024 | 362.53 Mn |
| Dec 31, 2023 | 333.56 Mn |
| Sep 30, 2023 | 354.68 Mn |
| Jun 30, 2023 | 331.24 Mn |
| Mar 31, 2023 | -339.22 Mn |
| Dec 31, 2022 | 330.69 Mn |
| Sep 30, 2022 | 838.75 Mn |
| Jun 30, 2022 | 359.40 Mn |
| Mar 31, 2022 | 294.21 Mn |
| Dec 31, 2021 | 335.18 Mn |
API Access
Steris Operating Expenses 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=operating-expenses&ticker=STE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();