Stryker (SYK) Total Non-Current Liabilities (2009 - 2026)
Stryker's Total Non-Current Liabilities was $21.28 billion in Q2 2026, down 5.5% from $22.51 billion a year earlier but up 1.6% from the prior quarter.
Powered by 
Analysis
Stryker (SYK) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Stryker came in at $23.06 billion, up 14.4% from FY2024.
- Total Non-Current Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $20.15 billion in FY2024 (+3.9%), $19.39 billion in FY2023 (+3.1%), $18.8 billion in FY2022 (+4.8%) and $17.93 billion in FY2021 (-6.9%).
- Quarterly Total Non-Current Liabilities has moved between $17.4 billion (Q2 2024) and $23.06 billion (Q4 2025) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in six of the last eight quarters, with growth averaging 10.1%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2025 (growth of 29.4%); the worst was Q1 2026 (a decline of 7.7%).
- Per Business Quant data, SYK's Total Non-Current Liabilities in the three quarters before Q2 2026 was $20.94 billion (Q1 2026), $23.06 billion (Q4 2025) and $22.66 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 6.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.28 Bn |
| Mar 31, 2026 | 20.94 Bn |
| Dec 31, 2025 | 23.06 Bn |
| Sep 30, 2025 | 22.66 Bn |
| Jun 30, 2025 | 22.51 Bn |
| Mar 31, 2025 | 22.68 Bn |
| Dec 31, 2024 | 20.15 Bn |
| Sep 30, 2024 | 21.36 Bn |
| Jun 30, 2024 | 17.40 Bn |
| Mar 31, 2024 | 18.33 Bn |
| Dec 31, 2023 | 19.39 Bn |
| Sep 30, 2023 | 18.31 Bn |
| Jun 30, 2023 | 18.20 Bn |
| Mar 31, 2023 | 18.35 Bn |
| Dec 31, 2022 | 18.80 Bn |
| Sep 30, 2022 | 17.94 Bn |
| Jun 30, 2022 | 18.57 Bn |
| Mar 31, 2022 | 19.21 Bn |
| Dec 31, 2021 | 17.93 Bn |
| Sep 30, 2021 | 18.01 Bn |
API Access
Stryker Total Non-Current 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-non-current-liabilities&ticker=SYK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();