Steris (STE) Receivables (2018 - 2026)
Steris (STE) reported Receivables of $1.01 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 7.0% from $947.1 million a year earlier but down 7.3% from the prior quarter.
Steris (STE) Receivables (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Steris posted Receivables of $1.09 billion, up 4.7% from FY2025.
- Receivables has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 12.4% (FY2021 to FY2026).
- By fiscal year, Receivables came in at $1.04 billion in FY2025 (+3.5%), $1.01 billion in FY2024 (+16.6%), $864.99 million in FY2023 (+8.3%) and $799.04 million in FY2022 (+31.1%).
- Five-year quarterly Receivables spans a low of $752.13 million in fiscal Q3 2022 and a high of $1.09 billion in fiscal Q4 2026.
- Year over year, Receivables has now increased in each of the last six quarters, with growth averaging 3.2% over the last eight quarters.
- The high point for year-over-year Receivables in five years was fiscal Q2 2022 (growth of 48.8%); the low point was fiscal Q3 2025 (a decline of 5.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $1.09 billion (Q4 2026), $990.6 million (Q3 2026) and $947.3 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 11.32 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 9.03 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 4.13 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 1.72 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 3.69 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 3.11 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 937.80 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 2.36 Bn |
| 10 | Steris | 24.59 Bn | 22.71 Bn | 710.80 Mn | 1.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.01 Bn |
| Jun 30, 2026 | 1.01 Bn |
| Mar 31, 2026 | 1.09 Bn |
| Dec 31, 2025 | 990.60 Mn |
| Sep 30, 2025 | 947.30 Mn |
| Jun 30, 2025 | 947.10 Mn |
| Mar 31, 2025 | 1.04 Bn |
| Dec 31, 2024 | 915.20 Mn |
| Sep 30, 2024 | 923.34 Mn |
| Jun 30, 2024 | 892.61 Mn |
| Mar 31, 2024 | 1.01 Bn |
| Dec 31, 2023 | 964.02 Mn |
| Sep 30, 2023 | 940.33 Mn |
| Jun 30, 2023 | 887.76 Mn |
| Mar 31, 2023 | 864.99 Mn |
| Dec 31, 2022 | 822.76 Mn |
| Sep 30, 2022 | 780.11 Mn |
| Jun 30, 2022 | 763.79 Mn |
| Mar 31, 2022 | 799.04 Mn |
| Dec 31, 2021 | 752.13 Mn |
Steris Receivables 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=receivables&ticker=STE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();