Stryker (SYK) Total Non-Current Liabilities (2009 - 2026)
Stryker's Total Non-Current Liabilities was $20.88 billion in Q2 2026, down 5.6% from $22.12 billion a year earlier but up 1.6% from the prior quarter.
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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 $22.65 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 4.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $19.8 billion in FY2024 (+5.2%), $18.82 billion in FY2023 (+3.6%), $18.16 billion in FY2022 (+6.7%) and $17.02 billion in FY2021 (-6.8%).
- Quarterly Total Non-Current Liabilities has moved between $17.02 billion (Q4 2021) and $22.65 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 10.6%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2025 (growth of 29.7%); the worst was Q1 2026 (a decline of 7.9%).
- Per Business Quant data, SYK's Total Non-Current Liabilities in the three quarters before Q2 2026 was $20.54 billion (Q1 2026), $22.65 billion (Q4 2025) and $22.26 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.20 Bn | 235.84 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 185.80 Bn | 160.26 Bn | 7.39 Bn | - |
| 3 | Danaher | 162.65 Bn | 142.30 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 155.57 Bn | 135.86 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 132.16 Bn | 97.68 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 119.74 Bn | 105.93 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.30 Bn | 59.73 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 61.94 Bn | 45.15 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Agilent Technologies | 48.79 Bn | 41.68 Bn | 1.04 Bn | 6.06 Bn |
| 10 | GE HealthCare Technologies | 37.40 Bn | 25.63 Bn | 2.22 Bn | 24.44 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.68 Bn |
| Jun 30, 2026 | 20.88 Bn |
| Mar 31, 2026 | 20.54 Bn |
| Dec 31, 2025 | 403.00 Bn |
| Sep 30, 2025 | 22.26 Bn |
| Jun 30, 2025 | 22.12 Bn |
| Mar 31, 2025 | 22.31 Bn |
| Dec 31, 2024 | 349.00 Bn |
| Sep 30, 2024 | 20.99 Bn |
| Jun 30, 2024 | 17.05 Bn |
| Mar 31, 2024 | 17.76 Bn |
| Dec 31, 2023 | 18.82 Bn |
| Sep 30, 2023 | 17.84 Bn |
| Jun 30, 2023 | 17.73 Bn |
| Mar 31, 2023 | 17.72 Bn |
| Dec 31, 2022 | 18.16 Bn |
| Sep 30, 2022 | 17.32 Bn |
| Jun 30, 2022 | 17.78 Bn |
| Mar 31, 2022 | 18.29 Bn |
| Dec 31, 2021 | 17.02 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();