Steris (STE) Non Operating Interest Expenses (2018 - 2026)
Steris (STE) reported Non Operating Interest Expenses of $15.8 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 0.6% from $15.9 million a year earlier but up 4.6% from the prior quarter.
Steris (STE) Non Operating Interest Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Steris' Non Operating Interest Expenses came in at $60.7 million, down 15.6% year-over-year; for FY2026 (ended Mar 31, 2026), it was $60.7 million, down 29.7% from FY2025.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 10.3% (FY2021 to FY2026).
- By fiscal year, Non Operating Interest Expenses came in at $86.3 million in FY2025 (-40.2%), $144.4 million in FY2024 (+33.8%), $107.96 million in FY2023 (+20.6%) and $89.49 million in FY2022 (+140.7%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $14.9 million in fiscal Q2 2026 and a high of $38.95 million in fiscal Q3 2024.
- Year over year, Non Operating Interest Expenses has now declined in each of the last nine quarters, with an average decline of 32.1% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q2 2022 (growth of 165.9%); the low point was fiscal Q4 2025 (a decline of 52.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $15.1 million (Q4 2026), $14.9 million (Q3 2026) and $14.9 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Steris | 20.49 Bn | 18.84 Bn | 684.20 Mn | 15.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.80 Mn |
| Mar 31, 2026 | 15.10 Mn |
| Dec 31, 2025 | 14.90 Mn |
| Sep 30, 2025 | 14.90 Mn |
| Jun 30, 2025 | 15.90 Mn |
| Mar 31, 2025 | 17.20 Mn |
| Dec 31, 2024 | 19.10 Mn |
| Sep 30, 2024 | 19.70 Mn |
| Jun 30, 2024 | 30.40 Mn |
| Mar 31, 2024 | 36.16 Mn |
| Dec 31, 2023 | 38.95 Mn |
| Sep 30, 2023 | 36.94 Mn |
| Jun 30, 2023 | 32.36 Mn |
| Mar 31, 2023 | 30.60 Mn |
| Dec 31, 2022 | 28.56 Mn |
| Sep 30, 2022 | 26.12 Mn |
| Jun 30, 2022 | 22.67 Mn |
| Mar 31, 2022 | 21.67 Mn |
| Dec 31, 2021 | 22.97 Mn |
| Sep 30, 2021 | 23.04 Mn |
Steris Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=STE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();