WORK Medical Technology (WOK) Other Accumulated Expenses (2023 - 2026)
WORK Medical Technology's Other Accumulated Expenses was $7.03 billion in fiscal Q2 2026 (quarter ended Mar 31, 2026), compared with $627,352 a year earlier.
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Analysis
WORK Medical Technology (WOK) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Other Accumulated Expenses at WORK Medical Technology came in at $12.77 billion, down 99.0% from FY2024.
- In earlier fiscal years, Other Accumulated Expenses was $1.22 trillion in FY2024 and $159,612 in FY2023.
- Quarterly Other Accumulated Expenses has moved between $159,612 (fiscal Q4 2023) and $1.22 trillion (fiscal Q4 2024) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | WORK Medical Technology | 1.77 Mn | 2,354.05 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 7.03 Bn |
| Sep 30, 2025 | 12.77 Bn |
| Mar 31, 2025 | 627,352.00 |
| Sep 30, 2024 | 1,217.44 Bn |
| Sep 30, 2023 | 159,612.00 |
API Access
WORK Medical Technology Other Accumulated 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=other-accumulated-expenses&ticker=WOK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=WOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();