Steris (STE) Tax Provisions (2018 - 2026)
Steris (STE) recorded Tax Provisions of $72.5 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 34.5% from $53.9 million a year earlier but down 13.9% from the prior quarter.
Steris (STE) Tax Provisions (2018 - 2026) Analysis & Trends
On a TTM basis, Steris' Tax Provisions came in at $280.8 million as of Jun 30, 2026, up 38.1% year-over-year; for FY2026 (ended Mar 31, 2026), it was $262.2 million, up 42.0% from FY2025.
- Annual Tax Provisions has increased for four straight fiscal years, with a five-year compound annual growth rate of 16.8% (FY2021 to FY2026).
- Across earlier fiscal years, Tax Provisions came in at $184.7 million in FY2025 (+23.5%), $149.5 million in FY2024 (+20.5%), $124.07 million in FY2023 (+50.7%) and $82.34 million in FY2022 (-31.8%).
- Quarterly Tax Provisions has ranged from $19.98 million in fiscal Q2 2022 to $84.2 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Tax Provisions has increased for eight consecutive quarters, with growth averaging 37.8% over the last eight quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 77.2% in fiscal Q2 2023, against a decline of 38.5% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $84.2 million (Q4 2026), $63.5 million (Q3 2026) and $60.6 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 167.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 596.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 231.40 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 288.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 155.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 278.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 102.00 Mn |
| 10 | Steris | 20.49 Bn | 18.84 Bn | 684.20 Mn | 72.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.50 Mn |
| Mar 31, 2026 | 84.20 Mn |
| Dec 31, 2025 | 63.50 Mn |
| Sep 30, 2025 | 60.60 Mn |
| Jun 30, 2025 | 53.90 Mn |
| Mar 31, 2025 | 50.50 Mn |
| Dec 31, 2024 | 55.40 Mn |
| Sep 30, 2024 | 43.50 Mn |
| Jun 30, 2024 | 35.30 Mn |
| Mar 31, 2024 | 37.28 Mn |
| Dec 31, 2023 | 41.00 Mn |
| Sep 30, 2023 | 35.06 Mn |
| Jun 30, 2023 | 36.20 Mn |
| Mar 31, 2023 | 21.20 Mn |
| Dec 31, 2022 | 40.53 Mn |
| Sep 30, 2022 | 35.42 Mn |
| Jun 30, 2022 | 26.92 Mn |
| Mar 31, 2022 | 30.12 Mn |
| Dec 31, 2021 | 39.32 Mn |
| Sep 30, 2021 | 19.98 Mn |
Steris Tax Provisions 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=tax-provisions&ticker=STE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();