Stryker (SYK) Shares Outstanding (Diluted) (2009 - 2026)
Stryker (SYK) recorded Weighted Average Shares Outstanding (Diluted) of 386 million in Q3 2026, down 0.2% from 386.7 million a year earlier and unchanged from the prior quarter.
Stryker (SYK) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Stryker reported Weighted Average Shares Outstanding (Diluted) of 386.5 million, up 0.2% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has increased for three straight years, with a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 385.6 million in FY2024 (+0.5%), 383.7 million in FY2023 (+0.4%), 382.2 million in FY2022 (unchanged) and 382.3 million in FY2021 (+0.5%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has ranged from 381.8 million in Q3 2022 to 386.7 million in Q3 2025 over the past five years.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) rose in five of the last eight quarters, with growth averaging 0.2%.
- Per Business Quant, the preceding three quarters came in at 386 million (Q2 2026), 386.5 million (Q1 2026) and 386.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.20 Bn | 235.84 Bn | 5.13 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 185.80 Bn | 160.26 Bn | 7.39 Bn | 1.74 Bn |
| 3 | Danaher | 162.28 Bn | 141.94 Bn | 3.84 Bn | 706.80 Mn |
| 4 | Intuitive Surgical | 155.44 Bn | 135.73 Bn | 2.08 Bn | 351.60 Mn |
| 5 | Medtronic | 132.01 Bn | 97.52 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 119.74 Bn | 105.93 Bn | 4.25 Bn | 384.70 Mn |
| 7 | Boston Scientific | 64.30 Bn | 59.73 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 61.70 Bn | 44.90 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Agilent Technologies | 48.79 Bn | 41.68 Bn | 1.04 Bn | 283.00 Mn |
| 10 | GE HealthCare Technologies | 37.39 Bn | 25.63 Bn | 2.22 Bn | 453.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 384.70 Mn |
| Jun 30, 2026 | 386.00 Mn |
| Mar 31, 2026 | 386.50 Mn |
| Dec 31, 2025 | 386.50 Mn |
| Sep 30, 2025 | 386.70 Mn |
| Jun 30, 2025 | 386.40 Mn |
| Mar 31, 2025 | 386.40 Mn |
| Dec 31, 2024 | 385.60 Mn |
| Sep 30, 2024 | 385.60 Mn |
| Jun 30, 2024 | 385.40 Mn |
| Mar 31, 2024 | 385.10 Mn |
| Dec 31, 2023 | 383.70 Mn |
| Sep 30, 2023 | 384.00 Mn |
| Jun 30, 2023 | 383.90 Mn |
| Mar 31, 2023 | 383.20 Mn |
| Dec 31, 2022 | 382.20 Mn |
| Sep 30, 2022 | 381.80 Mn |
| Jun 30, 2022 | 382.20 Mn |
| Mar 31, 2022 | 382.70 Mn |
| Dec 31, 2021 | 382.30 Mn |
Stryker Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=SYK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=SYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();