Steris (STE) Total Non-Current Liabilities (2018 - 2026)
Steris' Total Non-Current Liabilities was $3.44 billion in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 2.0% from $3.37 billion a year earlier but down 0.8% from the prior quarter.
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Analysis
Steris (STE) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Non-Current Liabilities at Steris came in at $3.47 billion, unchanged from FY2025.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 6.0% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $3.47 billion in FY2025 (-25.8%), $4.68 billion in FY2024 (+0.4%), $4.66 billion in FY2023 (-3.0%) and $4.8 billion in FY2022 (+85.1%).
- Quarterly Total Non-Current Liabilities has moved between $3.32 billion (fiscal Q2 2026) and $5.12 billion (fiscal Q2 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in 1 of the last eight quarters, with an average decline of 12.6%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q2 2022 (growth of 195.8%); the worst was fiscal Q2 2025 (a decline of 29.1%).
- Per Business Quant data, STE's Total Non-Current Liabilities in the three fiscal quarters before Q1 2027 was $3.47 billion (Q4 2026), $3.36 billion (Q3 2026) and $3.32 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Steris | 20.49 Bn | 18.84 Bn | 684.20 Mn | 3.44 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.44 Bn |
| Mar 31, 2026 | 3.47 Bn |
| Dec 31, 2025 | 3.36 Bn |
| Sep 30, 2025 | 3.32 Bn |
| Jun 30, 2025 | 3.37 Bn |
| Mar 31, 2025 | 3.47 Bn |
| Dec 31, 2024 | 3.51 Bn |
| Sep 30, 2024 | 3.56 Bn |
| Jun 30, 2024 | 3.67 Bn |
| Mar 31, 2024 | 4.68 Bn |
| Dec 31, 2023 | 4.93 Bn |
| Sep 30, 2023 | 5.01 Bn |
| Jun 30, 2023 | 4.53 Bn |
| Mar 31, 2023 | 4.66 Bn |
| Dec 31, 2022 | 4.68 Bn |
| Sep 30, 2022 | 4.60 Bn |
| Jun 30, 2022 | 4.70 Bn |
| Mar 31, 2022 | 4.80 Bn |
| Dec 31, 2021 | 4.99 Bn |
| Sep 30, 2021 | 5.12 Bn |
API Access
Steris Total Non-Current 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-non-current-liabilities&ticker=STE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();