Steris (STE) Cost of Revenue (2018 - 2026)
Steris (STE) reported Cost of Revenue of $808.6 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 6.0% from $763.1 million a year earlier but down 9.3% from the prior quarter.
Steris (STE) Cost of Revenue (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Steris' Cost of Revenue came in at $3.35 billion, up 7.8% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $3.31 billion, up 8.3% from FY2025.
- Cost of Revenue has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 13.4% (FY2021 to FY2026).
- By fiscal year, Cost of Revenue came in at $3.06 billion in FY2025 (+4.7%), $2.92 billion in FY2024 (+14.3%), $2.56 billion in FY2023 (+9.2%) and $2.34 billion in FY2022 (+32.6%).
- Five-year quarterly Cost of Revenue spans a low of $577.82 million in fiscal Q1 2023 and a high of $891.2 million in fiscal Q4 2026.
- Year over year, Cost of Revenue has now increased in each of the last 14 quarters, with growth averaging 6.4% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q2 2022 (growth of 68.2%); the low point was fiscal Q2 2023 (a decline of 15.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $891.2 million (Q4 2026), $840.7 million (Q3 2026) and $814.4 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Steris | 20.33 Bn | 18.68 Bn | 684.20 Mn | 808.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 808.60 Mn |
| Mar 31, 2026 | 891.20 Mn |
| Dec 31, 2025 | 840.70 Mn |
| Sep 30, 2025 | 814.40 Mn |
| Jun 30, 2025 | 763.10 Mn |
| Mar 31, 2025 | 839.40 Mn |
| Dec 31, 2024 | 760.20 Mn |
| Sep 30, 2024 | 750.10 Mn |
| Jun 30, 2024 | 707.10 Mn |
| Mar 31, 2024 | 836.49 Mn |
| Dec 31, 2023 | 737.70 Mn |
| Sep 30, 2023 | 691.98 Mn |
| Jun 30, 2023 | 654.38 Mn |
| Mar 31, 2023 | 734.85 Mn |
| Dec 31, 2022 | 634.24 Mn |
| Sep 30, 2022 | 608.63 Mn |
| Jun 30, 2022 | 577.82 Mn |
| Mar 31, 2022 | 639.06 Mn |
| Dec 31, 2021 | 670.86 Mn |
| Sep 30, 2021 | 716.64 Mn |
Steris Cost of Revenue 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=cost-of-revenue&ticker=STE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();