Steris (STE) Cash & Equivalents (2018 - 2026)
Steris' Cash & Equivalents came in at $482.3 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 72.4% from $279.7 million a year earlier and up 9.7% from the prior quarter.
Steris (STE) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Steris' Cash & Equivalents was $439.6 million, up 156.0% from FY2025.
- Cash & Equivalents carries a five-year compound annual growth rate of 14.8% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $171.7 million in FY2025 (-17.1%), $207 million in FY2024 (-0.7%), $208.4 million in FY2023 (-40.2%) and $348.32 million in FY2022 (+57.9%).
- The fiscal Q1 2027 figure represents the highest quarterly Cash & Equivalents since fiscal Q1 2022.
- Year-over-year, Cash & Equivalents has increased for five consecutive quarters, with growth averaging 58.8% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q3 2026 (growth of 173.0%), and the weakest in fiscal Q1 2023 (a decline of 40.8%).
- Business Quant data shows STE's Cash & Equivalents at $439.6 million (Q4 2026), $423.7 million (Q3 2026) and $319.2 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Steris | 20.33 Bn | 18.68 Bn | 684.20 Mn | 482.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 482.30 Mn |
| Mar 31, 2026 | 439.60 Mn |
| Dec 31, 2025 | 423.70 Mn |
| Sep 30, 2025 | 319.20 Mn |
| Jun 30, 2025 | 279.70 Mn |
| Mar 31, 2025 | 171.70 Mn |
| Dec 31, 2024 | 155.18 Mn |
| Sep 30, 2024 | 172.20 Mn |
| Jun 30, 2024 | 198.33 Mn |
| Mar 31, 2024 | 207.00 Mn |
| Dec 31, 2023 | 195.59 Mn |
| Sep 30, 2023 | 213.76 Mn |
| Jun 30, 2023 | 208.61 Mn |
| Mar 31, 2023 | 208.40 Mn |
| Dec 31, 2022 | 259.37 Mn |
| Sep 30, 2022 | 258.26 Mn |
| Jun 30, 2022 | 316.33 Mn |
| Mar 31, 2022 | 348.32 Mn |
| Dec 31, 2021 | 359.09 Mn |
| Sep 30, 2021 | 383.49 Mn |
Steris Cash & Equivalents 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-and-equivalents&ticker=STE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();