Steris (STE) Depreciation & Amortization (CF) (2018 - 2026)
Steris (STE) recorded Depreciation & Amortization (CF) of $123.8 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 3.7% from $119.4 million a year earlier and up 0.3% from the prior quarter.
Steris (STE) Depreciation & Amortization (CF) (2018 - 2026) Analysis & Trends
On a TTM basis, Steris' Depreciation & Amortization (CF) came in at $490.9 million as of Jun 30, 2026, up 1.7% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $486.5 million, up 2.2% from FY2025.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of 17.3% (FY2021 to FY2026).
- Across earlier fiscal years, Depreciation & Amortization (CF) came in at $476.2 million in FY2025 (-15.7%), $565.2 million in FY2024 (+2.2%), $552.9 million in FY2023 (unchanged) and $553.1 million in FY2022 (+152.3%).
- The fiscal Q1 2027 figure is the highest quarterly Depreciation & Amortization (CF) since fiscal Q3 2025.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in four of the last eight quarters, with an average decline of 3.8%.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 296.0% in fiscal Q4 2022, against a decline of 39.2% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $123.4 million (Q4 2026), $122 million (Q3 2026) and $121.7 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 192.30 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 42.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 564.00 Mn |
| 10 | Steris | 20.49 Bn | 18.84 Bn | 684.20 Mn | 123.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.80 Mn |
| Mar 31, 2026 | 123.40 Mn |
| Dec 31, 2025 | 122.00 Mn |
| Sep 30, 2025 | 121.70 Mn |
| Jun 30, 2025 | 119.40 Mn |
| Mar 31, 2025 | 122.30 Mn |
| Dec 31, 2024 | 125.90 Mn |
| Sep 30, 2024 | 115.30 Mn |
| Jun 30, 2024 | 112.70 Mn |
| Mar 31, 2024 | 134.39 Mn |
| Dec 31, 2023 | 140.63 Mn |
| Sep 30, 2023 | 152.25 Mn |
| Jun 30, 2023 | 137.93 Mn |
| Mar 31, 2023 | 142.20 Mn |
| Dec 31, 2022 | 137.95 Mn |
| Sep 30, 2022 | 133.88 Mn |
| Jun 30, 2022 | 138.86 Mn |
| Mar 31, 2022 | 233.83 Mn |
| Dec 31, 2021 | 117.61 Mn |
| Sep 30, 2021 | 118.04 Mn |
Steris Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=STE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();