Stryker (SYK) Operating Expenses (2009 - 2026)
Stryker (SYK) reported Operating Expenses of $2.84 billion for Q2 2026, up 4.1% from $2.73 billion a year earlier but down 1.2% from the prior quarter.
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Analysis
Stryker (SYK) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Stryker's Operating Expenses came in at $11.25 billion, down 3.5% year-over-year; for FY2025, it was $11.18 billion, up 4.0% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $10.75 billion in FY2024 (+17.2%), $9.17 billion in FY2023 (+5.0%), $8.74 billion in FY2022 (+4.2%) and $8.38 billion in FY2021 (+22.7%).
- Five-year quarterly Operating Expenses spans a low of $1.97 billion in Q3 2022 and a high of $3.59 billion in Q4 2024.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 11.0%.
- The high point for year-over-year Operating Expenses in five years was Q4 2024 (growth of 46.9%); the low point was Q4 2025 (a decline of 21.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.87 billion (Q1 2026), $2.82 billion (Q4 2025) and $2.72 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 1.43 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.84 Bn |
| Mar 31, 2026 | 2.87 Bn |
| Dec 31, 2025 | 2.82 Bn |
| Sep 30, 2025 | 2.72 Bn |
| Jun 30, 2025 | 2.73 Bn |
| Mar 31, 2025 | 2.91 Bn |
| Dec 31, 2024 | 3.59 Bn |
| Sep 30, 2024 | 2.43 Bn |
| Jun 30, 2024 | 2.37 Bn |
| Mar 31, 2024 | 2.36 Bn |
| Dec 31, 2023 | 2.45 Bn |
| Sep 30, 2023 | 2.23 Bn |
| Jun 30, 2023 | 2.22 Bn |
| Mar 31, 2023 | 2.28 Bn |
| Dec 31, 2022 | 2.42 Bn |
| Sep 30, 2022 | 1.97 Bn |
| Jun 30, 2022 | 2.05 Bn |
| Mar 31, 2022 | 2.29 Bn |
| Dec 31, 2021 | 2.23 Bn |
| Sep 30, 2021 | 2.07 Bn |
API Access
Stryker Operating 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=operating-expenses&ticker=SYK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=SYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();