Steris (STE) Total Current Liabilities (2018 - 2026)
Steris' Total Current Liabilities was $1.28 billion in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 38.5% from $926.6 million a year earlier and up 12.1% from the prior quarter.
Steris (STE) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Current Liabilities at Steris came in at $1.15 billion, up 12.0% from FY2025.
- Total Current Liabilities has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 14.7% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $1.02 billion in FY2025 (+9.8%), $931.13 million in FY2024 (+8.0%), $861.84 million in FY2023 (-6.5%) and $922.22 million in FY2022 (+59.6%).
- The fiscal Q1 2027 figure marks the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2018.
- Compared with a year earlier, Total Current Liabilities has increased for six straight quarters, with growth averaging 9.4% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q2 2022 (growth of 80.4%); the worst was fiscal Q1 2023 (a decline of 20.7%).
- Per Business Quant data, STE's Total Current Liabilities in the three fiscal quarters before Q1 2027 was $1.15 billion (Q4 2026), $922.3 million (Q3 2026) and $888.9 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.51 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 9.40 Bn |
| 10 | Steris | 20.49 Bn | 18.84 Bn | 684.20 Mn | 1.28 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.28 Bn |
| Mar 31, 2026 | 1.15 Bn |
| Dec 31, 2025 | 922.30 Mn |
| Sep 30, 2025 | 888.90 Mn |
| Jun 30, 2025 | 926.60 Mn |
| Mar 31, 2025 | 1.02 Bn |
| Dec 31, 2024 | 891.12 Mn |
| Sep 30, 2024 | 805.48 Mn |
| Jun 30, 2024 | 834.36 Mn |
| Mar 31, 2024 | 931.13 Mn |
| Dec 31, 2023 | 913.69 Mn |
| Sep 30, 2023 | 873.12 Mn |
| Jun 30, 2023 | 886.91 Mn |
| Mar 31, 2023 | 861.84 Mn |
| Dec 31, 2022 | 796.46 Mn |
| Sep 30, 2022 | 872.82 Mn |
| Jun 30, 2022 | 908.32 Mn |
| Mar 31, 2022 | 922.22 Mn |
| Dec 31, 2021 | 904.31 Mn |
| Sep 30, 2021 | 785.70 Mn |
Steris Total 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-current-liabilities&ticker=STE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();