Stryker (SYK) Total Current Liabilities (2009 - 2026)
Stryker (SYK) recorded Total Current Liabilities of $6.5 billion in Q3 2026, down 12.3% from $7.41 billion a year earlier and down 2.8% from the prior quarter.
Stryker (SYK) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Stryker reported Total Current Liabilities of $7.79 billion, up 2.3% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $7.62 billion in FY2024 (-3.9%), $7.92 billion in FY2023 (+25.7%), $6.3 billion in FY2022 (+38.6%) and $4.55 billion in FY2021 (-9.8%).
- Quarterly Total Current Liabilities has ranged from $4.4 billion in Q2 2022 to $7.93 billion in Q1 2025 over the past five years.
- On a year-over-year basis, Total Current Liabilities has declined for three consecutive quarters, with an average decline of 3.3% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 63.2% in Q3 2023, against a decline of 20.4% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.68 billion (Q2 2026), $6.32 billion (Q1 2026) and $7.79 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | 9.05 Bn |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | 9.40 Bn |
| 10 | Agilent Technologies | 50.79 Bn | 43.67 Bn | 1.04 Bn | 2.29 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.50 Bn |
| Jun 30, 2026 | 6.68 Bn |
| Mar 31, 2026 | 6.32 Bn |
| Dec 31, 2025 | 7.79 Bn |
| Sep 30, 2025 | 7.41 Bn |
| Jun 30, 2025 | 7.29 Bn |
| Mar 31, 2025 | 7.93 Bn |
| Dec 31, 2024 | 7.62 Bn |
| Sep 30, 2024 | 7.67 Bn |
| Jun 30, 2024 | 6.93 Bn |
| Mar 31, 2024 | 6.96 Bn |
| Dec 31, 2023 | 7.92 Bn |
| Sep 30, 2023 | 7.46 Bn |
| Jun 30, 2023 | 6.58 Bn |
| Mar 31, 2023 | 5.87 Bn |
| Dec 31, 2022 | 6.30 Bn |
| Sep 30, 2022 | 4.57 Bn |
| Jun 30, 2022 | 4.40 Bn |
| Mar 31, 2022 | 4.41 Bn |
| Dec 31, 2021 | 4.55 Bn |
Stryker Total 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-current-liabilities&ticker=SYK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();