WORK Medical Technology (WOK) Cash & Equivalents (2023 - 2026)
WORK Medical Technology (WOK) recorded Cash & Equivalents of $3.25 trillion in fiscal Q2 2026 (quarter ended Mar 31, 2026), compared with $2 million a year earlier.
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Analysis
WORK Medical Technology (WOK) Cash & Equivalents (2023 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), WORK Medical Technology reported Cash & Equivalents of $4.09 million, down 37.7% from FY2024.
- Annual Cash & Equivalents has a three-year compound annual growth rate of 67.3% (FY2022 to FY2025).
- Across earlier fiscal years, Cash & Equivalents came in at $6.56 million in FY2024 (+310.9%), $1.6 million in FY2023 (+82.8%) and $873,131 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 708.00 Mn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 2.91 Bn |
| 10 | WORK Medical Technology | 1.16 Mn | -12.38 Mn | - | 3.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.25 Mn |
| Sep 30, 2025 | 4.09 Mn |
| Mar 31, 2025 | 2.00 Mn |
| Sep 30, 2024 | 6.56 Mn |
| Sep 30, 2023 | 1.60 Mn |
API Access
WORK Medical Technology Cash & Equivalents 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=cash-and-equivalents&ticker=WOK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=WOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();