WORK Medical Technology (WOK) Total Non-Current Liabilities (2023 - 2026)
WORK Medical Technology (WOK) reported Total Non-Current Liabilities of $13.96 billion for fiscal Q2 2026 (quarter ended Mar 31, 2026), compared with $17,205 a year earlier.
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Analysis
WORK Medical Technology (WOK) Total Non-Current Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), WORK Medical Technology posted Total Non-Current Liabilities of $20.06 billion.
- By fiscal year, Total Non-Current Liabilities came in at $50,130 in FY2023.
- Five-year quarterly Total Non-Current Liabilities spans a low of $17,205 in fiscal Q2 2025 and a high of $20.06 billion in fiscal Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 23.92 Bn |
| 10 | WORK Medical Technology | 1.88 Mn | 2,354.05 Bn | - | 13.96 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 13.96 Bn |
| Sep 30, 2025 | 20.06 Bn |
| Mar 31, 2025 | 17,205.00 |
| Sep 30, 2023 | 50,130.00 |
API Access
WORK Medical Technology Total Non-Current Liabilities 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-non-current-liabilities&ticker=WOK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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-non-current-liabilities&ticker=WOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();