Steris (STE) Cash from Operations (2018 - 2026)
Steris (STE) reported Cash from Operations of $367.1 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 12.6% from $420 million a year earlier but up 9.5% from the prior quarter.
Steris (STE) Cash from Operations (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Steris' Cash from Operations came in at $1.29 billion, up 1.9% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $1.34 billion, up 16.8% from FY2025.
- Cash from Operations has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 14.2% (FY2021 to FY2026).
- By fiscal year, Cash from Operations came in at $1.15 billion in FY2025 (+18.0%), $973.3 million in FY2024 (+28.6%), $756.95 million in FY2023 (+10.5%) and $684.81 million in FY2022 (-0.7%).
- Five-year quarterly Cash from Operations spans a low of $103.82 million in fiscal Q2 2023 and a high of $420 million in fiscal Q1 2026.
- Year over year, Cash from Operations gained in six of the last eight quarters, with growth averaging 18.4%.
- The high point for year-over-year Cash from Operations in five years was fiscal Q1 2023 (growth of 137.9%); the low point was fiscal Q2 2023 (a decline of 39.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $335.4 million (Q4 2026), $298.2 million (Q3 2026) and $287.8 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.13 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 2.49 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.53 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.06 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.79 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.26 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 651.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 776.00 Mn |
| 10 | Steris | 20.49 Bn | 18.84 Bn | 684.20 Mn | 367.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 367.10 Mn |
| Mar 31, 2026 | 335.40 Mn |
| Dec 31, 2025 | 298.20 Mn |
| Sep 30, 2025 | 287.80 Mn |
| Jun 30, 2025 | 420.00 Mn |
| Mar 31, 2025 | 260.80 Mn |
| Dec 31, 2024 | 332.80 Mn |
| Sep 30, 2024 | 250.80 Mn |
| Jun 30, 2024 | 303.70 Mn |
| Mar 31, 2024 | 254.83 Mn |
| Dec 31, 2023 | 291.24 Mn |
| Sep 30, 2023 | 146.10 Mn |
| Jun 30, 2023 | 281.13 Mn |
| Mar 31, 2023 | 215.80 Mn |
| Dec 31, 2022 | 205.58 Mn |
| Sep 30, 2022 | 103.82 Mn |
| Jun 30, 2022 | 231.75 Mn |
| Mar 31, 2022 | 171.73 Mn |
| Dec 31, 2021 | 244.31 Mn |
| Sep 30, 2021 | 171.34 Mn |
Steris Cash from Operations 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=cash-from-operations&ticker=STE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();