Boston Scientific (BSX) Change in Accured Expenses (2020 - 2026)
Boston Scientific (BSX) posted Change in Accured Expenses of $234 million for Q2 2026, up 1.3% from $231 million a year earlier.
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Analysis
Boston Scientific (BSX) Change in Accured Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Boston Scientific was $172 million, down 63.2% year-over-year; for FY2025, it was $296 million, up 21.8% from FY2024.
- In prior years, Boston Scientific's Change in Accured Expenses was $243 million in FY2024 (+105.9%), $118 million in FY2023, -$255 million in FY2022 and $408 million in FY2021.
- Quarterly Change in Accured Expenses has run from a low of -$512 million in Q1 2026 to a high of $385 million in Q4 2024 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 42.6%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q2 2025, with growth of 225.4%; the weakest was Q4 2023, with a decline of 93.1%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$512 million (Q1 2026), $285 million (Q4 2025) and $165 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Agilent Technologies | 47.29 Bn | 40.18 Bn | 1.04 Bn | 34.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 234.00 Mn |
| Mar 31, 2026 | -512.00 Mn |
| Dec 31, 2025 | 285.00 Mn |
| Sep 30, 2025 | 165.00 Mn |
| Jun 30, 2025 | 231.00 Mn |
| Mar 31, 2025 | -385.00 Mn |
| Dec 31, 2024 | 385.00 Mn |
| Sep 30, 2024 | 237.00 Mn |
| Jun 30, 2024 | 71.00 Mn |
| Mar 31, 2024 | -450.00 Mn |
| Dec 31, 2023 | 23.00 Mn |
| Sep 30, 2023 | 17.00 Mn |
| Jun 30, 2023 | 289.00 Mn |
| Mar 31, 2023 | -211.00 Mn |
| Dec 31, 2022 | 335.00 Mn |
| Sep 30, 2022 | -141.00 Mn |
| Jun 30, 2022 | -81.00 Mn |
| Mar 31, 2022 | -368.00 Mn |
| Dec 31, 2021 | 133.00 Mn |
| Sep 30, 2021 | -65.00 Mn |
API Access
Boston Scientific Change in Accured 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=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "BSX", "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=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();