Stryker (SYK) Current Debt (2017 - 2025)
Stryker's Current Debt came in at -$1 million for Q4 2025.
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Analysis
Stryker (SYK) Current Debt (2017 - 2025) Analysis & Trends
For FY2024, Stryker's Current Debt was -$32 million.
- Going back by year, Current Debt was $540 million in FY2023, -$375 million in FY2022, -$7 million in FY2021 and -$6 million in FY2020.
- The five-year range for quarterly Current Debt is -$206 million (Q2 2022) to $544 million (Q3 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 64.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.93 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 812.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.68 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | -291.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | - |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -1.00 Mn |
| Sep 30, 2025 | -1.00 Mn |
| Jun 30, 2025 | 2.00 Mn |
| Sep 30, 2024 | -32.00 Mn |
| Jun 30, 2024 | 1.00 Mn |
| Mar 31, 2024 | -1.00 Mn |
| Sep 30, 2023 | 544.00 Mn |
| Jun 30, 2023 | -2.00 Mn |
| Mar 31, 2023 | -2.00 Mn |
| Dec 31, 2022 | 1.00 Mn |
| Jun 30, 2022 | -206.00 Mn |
| Mar 31, 2022 | -170.00 Mn |
| Dec 31, 2021 | -14.00 Mn |
| Sep 30, 2021 | 14.00 Mn |
| Jun 30, 2021 | -9.00 Mn |
| Mar 31, 2021 | 2.00 Mn |
| Dec 31, 2020 | -9.00 Mn |
| Sep 30, 2020 | -5.00 Mn |
| Jun 30, 2020 | 4.00 Mn |
| Mar 31, 2020 | 4.00 Mn |
API Access
Stryker Current Debt 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=current-debt&ticker=SYK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=SYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();