WORK Medical Technology (WOK) Retained Earnings (2023 - 2026)
WORK Medical Technology (WOK) recorded Retained Earnings of $1.55 trillion in fiscal Q2 2026 (quarter ended Mar 31, 2026), compared with $6.09 million a year earlier.
WORK Medical Technology (WOK) Retained Earnings (2023 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), WORK Medical Technology reported Retained Earnings of $4.96 trillion, down 18.4% from FY2024.
- Across earlier fiscal years, Retained Earnings came in at $6.08 trillion in FY2024 and $9.58 million in FY2023.
- Quarterly Retained Earnings has ranged from $6.09 million in fiscal Q2 2025 to $6.08 trillion in fiscal Q4 2024 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 62.19 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 49.79 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 48.23 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 6.84 Bn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 33.19 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 21.82 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 7.82 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 17.51 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 14.86 Bn |
| 10 | WORK Medical Technology | 342,002.92 | -15.55 Mn | - | 1.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.55 Mn |
| Sep 30, 2025 | 4.96 Mn |
| Mar 31, 2025 | 6.09 Mn |
| Sep 30, 2024 | 6.08 Mn |
| Sep 30, 2023 | 9.58 Mn |
WORK Medical Technology 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=WOK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "WOK", "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=WOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();