WORK Medical Technology (WOK) Total Debt (2023 - 2026)
WORK Medical Technology's Total Debt came in at $6.6 trillion for fiscal Q2 2026 (quarter ended Mar 31, 2026), compared with $12.88 million a year earlier.
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Analysis
WORK Medical Technology (WOK) Total Debt (2023 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), WORK Medical Technology's Total Debt was $6.39 trillion, down 52.0% from FY2024.
- Going back by fiscal year, Total Debt was $13.32 trillion in FY2024 and $8.84 million in FY2023.
- The fiscal Q2 2026 figure represents the highest quarterly Total Debt since fiscal Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | 42.55 Bn |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | 32.61 Bn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | 26.56 Bn |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | 14.94 Bn |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | 12.62 Bn |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | 16.81 Bn |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | 598.70 Mn |
| 10 | WORK Medical Technology | 1.17 Mn | -12.37 Mn | - | 6.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 6.60 Mn |
| Sep 30, 2025 | 6.39 Mn |
| Mar 31, 2025 | 12.88 Mn |
| Sep 30, 2024 | 13.32 Mn |
| Sep 30, 2023 | 8.84 Mn |
API Access
WORK Medical Technology Total Debt 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=total-debt&ticker=WOK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=WOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();