Steris (STE) Interest Expenses (2018 - 2026)
Steris' Interest Expenses came in at $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.
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Analysis
Steris (STE) Interest Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Steris reported Interest Expenses of $60.7 million, down 15.6% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $60.7 million, down 29.7% from FY2025.
- Interest Expenses carries a five-year compound annual growth rate of 10.3% (FY2021 to FY2026).
- Going back by fiscal year, Interest Expenses was $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%).
- The five-year range for quarterly Interest Expenses is $14.9 million (fiscal Q2 2026) to $38.95 million (fiscal Q3 2024).
- Year-over-year, Interest Expenses has declined for nine consecutive quarters, with an average decline of 32.1% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in fiscal Q2 2022 (growth of 165.9%), and the weakest in fiscal Q4 2025 (a decline of 52.4%).
- Business Quant data shows STE's Interest Expenses at $15.1 million (Q4 2026), $14.9 million (Q3 2026) and $14.9 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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
Download Data
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 |
API Access
Steris 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=interest-expenses&ticker=STE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();