Steris (STE) Total Liabilities (2018 - 2026)
Steris (STE) posted Total Liabilities of $3.51 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 2.3% from $3.44 billion a year earlier but down 0.7% from the prior quarter.
Powered by 
Analysis
Steris (STE) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Steris' Total Liabilities came in at $3.54 billion, up 0.3% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of 5.7% (FY2021 to FY2026).
- In prior fiscal years, Steris' Total Liabilities was $3.53 billion in FY2025 (-25.6%), $4.75 billion in FY2024 (+0.3%), $4.73 billion in FY2023 (-3.0%) and $4.88 billion in FY2022 (+81.8%).
- Quarterly Total Liabilities has run from a low of $3.39 billion in fiscal Q2 2026 to a high of $5.21 billion in fiscal Q2 2022 over five years.
- On a year-over-year basis, Total Liabilities increased in two of the last eight quarters, with an average decline of 12.4%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2022, with growth of 186.6%; the weakest was fiscal Q2 2025, with a decline of 28.7%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $3.54 billion (Q4 2026), $3.42 billion (Q3 2026) and $3.39 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Steris | 20.49 Bn | 18.84 Bn | 684.20 Mn | 3.51 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.51 Bn |
| Mar 31, 2026 | 3.54 Bn |
| Dec 31, 2025 | 3.42 Bn |
| Sep 30, 2025 | 3.39 Bn |
| Jun 30, 2025 | 3.44 Bn |
| Mar 31, 2025 | 3.53 Bn |
| Dec 31, 2024 | 3.58 Bn |
| Sep 30, 2024 | 3.63 Bn |
| Jun 30, 2024 | 3.74 Bn |
| Mar 31, 2024 | 4.75 Bn |
| Dec 31, 2023 | 5.01 Bn |
| Sep 30, 2023 | 5.09 Bn |
| Jun 30, 2023 | 4.61 Bn |
| Mar 31, 2023 | 4.73 Bn |
| Dec 31, 2022 | 4.75 Bn |
| Sep 30, 2022 | 4.68 Bn |
| Jun 30, 2022 | 4.77 Bn |
| Mar 31, 2022 | 4.88 Bn |
| Dec 31, 2021 | 5.07 Bn |
| Sep 30, 2021 | 5.21 Bn |
API Access
Steris Total Liabilities 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=total-liabilities&ticker=STE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();