Stryker (SYK) Total Liabilities (2009 - 2026)
Stryker (SYK) posted Total Liabilities of $23.94 billion for Q2 2026, down 4.8% from $25.14 billion a year earlier but up 2.7% from the prior quarter.
Powered by 
Analysis
Stryker (SYK) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Stryker's Total Liabilities came in at $25.42 billion, up 13.8% from FY2024.
- Annual Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- In prior years, Stryker's Total Liabilities was $22.34 billion in FY2024 (+4.8%), $21.32 billion in FY2023 (+5.2%), $20.27 billion in FY2022 (+2.6%) and $19.75 billion in FY2021 (-7.0%).
- Quarterly Total Liabilities has run from a low of $19.37 billion in Q2 2024 to a high of $25.42 billion in Q4 2025 over five years.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 10.6%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2025, with growth of 29.8%; the weakest was Q1 2026, with a decline of 7.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $23.31 billion (Q1 2026), $25.42 billion (Q4 2025) and $25.27 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 6.60 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.94 Bn |
| Mar 31, 2026 | 23.31 Bn |
| Dec 31, 2025 | 25.42 Bn |
| Sep 30, 2025 | 25.27 Bn |
| Jun 30, 2025 | 25.14 Bn |
| Mar 31, 2025 | 25.08 Bn |
| Dec 31, 2024 | 22.34 Bn |
| Sep 30, 2024 | 23.68 Bn |
| Jun 30, 2024 | 19.37 Bn |
| Mar 31, 2024 | 20.23 Bn |
| Dec 31, 2023 | 21.32 Bn |
| Sep 30, 2023 | 20.14 Bn |
| Jun 30, 2023 | 20.05 Bn |
| Mar 31, 2023 | 19.94 Bn |
| Dec 31, 2022 | 20.27 Bn |
| Sep 30, 2022 | 19.52 Bn |
| Jun 30, 2022 | 20.36 Bn |
| Mar 31, 2022 | 21.09 Bn |
| Dec 31, 2021 | 19.75 Bn |
| Sep 30, 2021 | 19.97 Bn |
API Access
Stryker Total 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-liabilities&ticker=SYK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();