Stryker (SYK) Cash & Equivalents (2009 - 2026)
Stryker's Cash & Equivalents came in at $3.39 billion for Q2 2026, up 42.8% from $2.38 billion a year earlier and up 17.8% from the prior quarter.
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Analysis
Stryker (SYK) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Stryker's Cash & Equivalents was $4.01 billion, up 9.8% from FY2024.
- Cash & Equivalents has increased in each of the last three years, with a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $3.65 billion in FY2024 (+22.9%), $2.97 billion in FY2023 (+61.1%), $1.84 billion in FY2022 (-37.4%) and $2.94 billion in FY2021 (unchanged).
- The five-year range for quarterly Cash & Equivalents is $1.04 billion (Q2 2022) to $4.01 billion (Q4 2025).
- Year-over-year, Cash & Equivalents has increased for three consecutive quarters, with growth averaging 27.2% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2024 (growth of 107.0%), and the weakest in Q3 2021 (a decline of 63.8%).
- Business Quant data shows SYK's Cash & Equivalents at $2.88 billion (Q1 2026), $4.01 billion (Q4 2025) and $3.26 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Agilent Technologies | 47.29 Bn | 40.18 Bn | 1.04 Bn | 1.76 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.39 Bn |
| Mar 31, 2026 | 2.88 Bn |
| Dec 31, 2025 | 4.01 Bn |
| Sep 30, 2025 | 3.26 Bn |
| Jun 30, 2025 | 2.38 Bn |
| Mar 31, 2025 | 2.32 Bn |
| Dec 31, 2024 | 3.65 Bn |
| Sep 30, 2024 | 3.85 Bn |
| Jun 30, 2024 | 1.87 Bn |
| Mar 31, 2024 | 2.33 Bn |
| Dec 31, 2023 | 2.97 Bn |
| Sep 30, 2023 | 1.86 Bn |
| Jun 30, 2023 | 1.40 Bn |
| Mar 31, 2023 | 1.67 Bn |
| Dec 31, 2022 | 1.84 Bn |
| Sep 30, 2022 | 1.42 Bn |
| Jun 30, 2022 | 1.04 Bn |
| Mar 31, 2022 | 1.46 Bn |
| Dec 31, 2021 | 2.94 Bn |
| Sep 30, 2021 | 2.56 Bn |
API Access
Stryker Cash & Equivalents 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=cash-and-equivalents&ticker=SYK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();