Stryker (SYK) Non Operating Interest Expenses (2021 - 2026)
Stryker (SYK) recorded Non Operating Interest Expenses of $141 million in Q2 2026, down 11.3% from $159 million a year earlier and down 4.7% from the prior quarter.
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Analysis
Stryker (SYK) Non Operating Interest Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, Stryker's Non Operating Interest Expenses came in at $585 million as of Jun 30, 2026; for FY2025, it was $607 million, up 48.4% from FY2024.
- Across earlier years, Non Operating Interest Expenses came in at $409 million in FY2024 (+12.7%) and $363 million in FY2023.
- The Q2 2026 figure is the lowest quarterly Non Operating Interest Expenses since Q1 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.20 Bn | 235.84 Bn | 5.13 Bn | 417.00 Mn |
| 2 | Abbott Laboratories | 185.80 Bn | 160.26 Bn | 7.39 Bn | 350.00 Mn |
| 3 | Danaher | 162.41 Bn | 142.07 Bn | 3.84 Bn | 135.00 Mn |
| 4 | Intuitive Surgical | 155.25 Bn | 135.54 Bn | 2.08 Bn | - |
| 5 | Medtronic | 132.14 Bn | 97.65 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 119.74 Bn | 105.93 Bn | 4.25 Bn | 143.00 Mn |
| 7 | Boston Scientific | 64.30 Bn | 59.73 Bn | 3.43 Bn | 100.00 Mn |
| 8 | Edwards Lifesciences | 61.95 Bn | 45.15 Bn | 1.35 Bn | - |
| 9 | Agilent Technologies | 48.79 Bn | 41.68 Bn | 1.04 Bn | 29.00 Mn |
| 10 | GE HealthCare Technologies | 37.40 Bn | 25.63 Bn | 2.22 Bn | 122.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 143.00 Mn |
| Jun 30, 2026 | 141.00 Mn |
| Mar 31, 2026 | 148.00 Mn |
| Dec 31, 2025 | 154.00 Mn |
| Sep 30, 2025 | 157.00 Mn |
| Jun 30, 2025 | 159.00 Mn |
| Mar 31, 2025 | 137.00 Mn |
| Dec 31, 2022 | -341.00 Mn |
| Dec 31, 2021 | -354.00 Mn |
API Access
Stryker Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=SYK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=SYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();