Steris (STE) Change in Accrued Expenses (2018 - 2026)
Steris' Change in Accured Expenses was $4.8 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$9.2 million a year earlier and down 93.5% from the prior quarter.
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Analysis
Steris (STE) Change in Accrued Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Steris' Change in Accured Expenses was $61.8 million through Jun 30, 2026, up 119.1% year-over-year; for FY2026 (ended Mar 31, 2026), it was $47.8 million, up 22.9% from FY2025.
- Change in Accured Expenses shows a five-year compound annual growth rate of 37.0% (FY2021 to FY2026).
- In earlier fiscal years, Change in Accured Expenses was $38.9 million in FY2025 (-2.8%), $40 million in FY2024, -$22.05 million in FY2023 and -$16.4 million in FY2022.
- Quarterly Change in Accured Expenses has moved between -$85.94 million (fiscal Q2 2023) and $74.3 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in two of the last four quarters, with growth averaging 39.3%.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q3 2023 (growth of 165.7%); the worst was fiscal Q1 2025 (a decline of 96.0%).
- Per Business Quant data, STE's Change in Accured Expenses in the three fiscal quarters before Q1 2027 was $74.3 million (Q4 2026), $25.6 million (Q3 2026) and -$42.9 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 30.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 255.00 Mn |
| 10 | Steris | 24.96 Bn | 23.10 Bn | 710.80 Mn | -61.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -61.80 Mn |
| Jun 30, 2026 | 4.80 Mn |
| Mar 31, 2026 | 74.30 Mn |
| Dec 31, 2025 | 25.60 Mn |
| Sep 30, 2025 | -42.90 Mn |
| Jun 30, 2025 | -9.20 Mn |
| Mar 31, 2025 | 43.40 Mn |
| Dec 31, 2024 | 30.80 Mn |
| Sep 30, 2024 | -36.80 Mn |
| Jun 30, 2024 | 1.50 Mn |
| Mar 31, 2024 | 18.25 Mn |
| Dec 31, 2023 | 47.20 Mn |
| Sep 30, 2023 | -63.37 Mn |
| Jun 30, 2023 | 37.92 Mn |
| Mar 31, 2023 | 44.86 Mn |
| Dec 31, 2022 | 45.99 Mn |
| Sep 30, 2022 | -85.94 Mn |
| Jun 30, 2022 | -26.96 Mn |
| Mar 31, 2022 | 1.28 Mn |
| Dec 31, 2021 | 17.31 Mn |
API Access
Steris Change in Accrued 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=change-in-accured-expenses&ticker=STE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=STE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();