Stryker (SYK) Change in Accured Expenses (2009 - 2026)
Stryker (SYK) recorded Change in Accured Expenses of $298 million in Q2 2026, down 23.2% from $388 million a year earlier.
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Analysis
Stryker (SYK) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Stryker's Change in Accured Expenses came in at $78 million as of Jun 30, 2026, down 87.2% year-over-year; for FY2025, it was $318 million, up 329.7% from FY2024.
- Across earlier years, Change in Accured Expenses came in at $74 million in FY2024 (-85.7%), $516 million in FY2023 (+230.8%), $156 million in FY2022 (-50.5%) and $315 million in FY2021.
- Quarterly Change in Accured Expenses has ranged from -$654 million in Q1 2026 to $429 million in Q3 2024 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last five quarters, with an average decline of 13.9%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 163.7% in Q2 2023, against a decline of 91.1% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -$654 million (Q1 2026), $396 million (Q4 2025) and $38 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 | 298.00 Mn |
| Mar 31, 2026 | -654.00 Mn |
| Dec 31, 2025 | 396.00 Mn |
| Sep 30, 2025 | 38.00 Mn |
| Jun 30, 2025 | 388.00 Mn |
| Mar 31, 2025 | -504.00 Mn |
| Dec 31, 2024 | 298.00 Mn |
| Sep 30, 2024 | 429.00 Mn |
| Jun 30, 2024 | -18.00 Mn |
| Mar 31, 2024 | -635.00 Mn |
| Dec 31, 2023 | 367.00 Mn |
| Sep 30, 2023 | 328.00 Mn |
| Jun 30, 2023 | 240.00 Mn |
| Mar 31, 2023 | -419.00 Mn |
| Dec 31, 2022 | 151.00 Mn |
| Sep 30, 2022 | 262.00 Mn |
| Jun 30, 2022 | 91.00 Mn |
| Mar 31, 2022 | -348.00 Mn |
| Dec 31, 2021 | 131.00 Mn |
| Sep 30, 2021 | 162.00 Mn |
API Access
Stryker 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=SYK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SYK", "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=SYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();