Stryker (SYK) Retained Earnings (2009 - 2026)
Analysis
Stryker (SYK) Retained Earnings (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 63.74 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 49.64 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 49.18 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 4.53 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 33.19 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 21.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 8.40 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 15.17 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 377.00 Mn |
| 10 | Agilent Technologies | 50.15 Bn | 43.04 Bn | 1.04 Bn | 1.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.25 Bn |
| Jun 30, 2026 | 21.82 Bn |
| Mar 31, 2026 | 20.88 Bn |
| Dec 31, 2025 | 20.47 Bn |
| Sep 30, 2025 | 19.96 Bn |
| Jun 30, 2025 | 19.42 Bn |
| Mar 31, 2025 | 18.86 Bn |
| Dec 31, 2024 | 18.53 Bn |
| Sep 30, 2024 | 18.30 Bn |
| Jun 30, 2024 | 17.77 Bn |
| Mar 31, 2024 | 17.25 Bn |
| Dec 31, 2023 | 16.77 Bn |
| Sep 30, 2023 | 15.93 Bn |
| Jun 30, 2023 | 15.53 Bn |
| Mar 31, 2023 | 15.07 Bn |
| Dec 31, 2022 | 14.77 Bn |
| Sep 30, 2022 | 14.49 Bn |
| Jun 30, 2022 | 13.93 Bn |
| Mar 31, 2022 | 13.54 Bn |
| Dec 31, 2021 | 13.48 Bn |
API Access
Stryker Retained Earnings 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=retained-earnings&ticker=SYK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=SYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();