Steris (STE) Accumulated Expenses (2018 - 2026)
Steris (STE) reported Accumulated Expenses of $420.5 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 13.3% from $371 million a year earlier and up 4.6% from the prior quarter.
Powered by 
Analysis
Steris (STE) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Steris posted Accumulated Expenses of $401.9 million, up 9.2% from FY2025.
- Accumulated Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 12.8% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $368.1 million in FY2025 (+15.1%), $319.74 million in FY2024 (+7.3%), $298.03 million in FY2023 (-2.8%) and $306.54 million in FY2022 (+39.0%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2018.
- Year over year, Accumulated Expenses has now increased in each of the last eight quarters, with growth averaging 13.8% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q2 2022 (growth of 94.4%); the low point was fiscal Q1 2025 (a decline of 13.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $401.9 million (Q4 2026), $405 million (Q3 2026) and $360.3 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 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 |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 420.50 Mn |
| Mar 31, 2026 | 401.90 Mn |
| Dec 31, 2025 | 405.00 Mn |
| Sep 30, 2025 | 360.30 Mn |
| Jun 30, 2025 | 371.00 Mn |
| Mar 31, 2025 | 368.10 Mn |
| Dec 31, 2024 | 334.59 Mn |
| Sep 30, 2024 | 307.48 Mn |
| Jun 30, 2024 | 286.56 Mn |
| Mar 31, 2024 | 319.74 Mn |
| Dec 31, 2023 | 318.10 Mn |
| Sep 30, 2023 | 306.66 Mn |
| Jun 30, 2023 | 332.76 Mn |
| Mar 31, 2023 | 298.03 Mn |
| Dec 31, 2022 | 303.05 Mn |
| Sep 30, 2022 | 304.04 Mn |
| Jun 30, 2022 | 317.64 Mn |
| Mar 31, 2022 | 306.54 Mn |
| Dec 31, 2021 | 328.46 Mn |
| Sep 30, 2021 | 308.94 Mn |
API Access
Steris Accumulated 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=accumulated-expenses&ticker=STE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();