United Health Products (UEEC) Total Liabilities (2010 - 2026)
United Health Products (UEEC) recorded Total Liabilities of $4.69 million in Q2 2026, up 43.3% from $3.27 million a year earlier and up 3.1% from the prior quarter.
United Health Products (UEEC) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, United Health Products reported Total Liabilities of $4.3 million, up 57.6% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 29.7% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $2.73 million in FY2024 (+36.5%), $2 million in FY2023 (-17.2%), $2.42 million in FY2022 (+106.7%) and $1.17 million in FY2021 (-0.1%).
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Liabilities has increased for eight consecutive quarters, with growth averaging 43.7% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 488.8% in Q1 2022, against a decline of 17.2% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.55 million (Q1 2026), $4.3 million (Q4 2025) and $3.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.12 Bn | 228.15 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 180.24 Bn | 150.67 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 160.21 Bn | 144.02 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 158.27 Bn | 138.56 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 122.78 Bn | 88.04 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 118.33 Bn | 104.44 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 67.10 Bn | 61.87 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 54.75 Bn | 51.90 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 51.67 Bn | 35.68 Bn | 1.35 Bn | 3.14 Bn |
| 10 | United Health Products | 9.79 Mn | 9.68 Mn | - | 4.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.69 Mn |
| Mar 31, 2026 | 4.55 Mn |
| Dec 31, 2025 | 4.30 Mn |
| Sep 30, 2025 | 3.43 Mn |
| Jun 30, 2025 | 3.27 Mn |
| Mar 31, 2025 | 2.98 Mn |
| Dec 31, 2024 | 2.73 Mn |
| Sep 30, 2024 | 2.26 Mn |
| Jun 30, 2024 | 2.12 Mn |
| Mar 31, 2024 | 2.03 Mn |
| Dec 31, 2023 | 2.00 Mn |
| Sep 30, 2023 | 2.12 Mn |
| Jun 30, 2023 | 2.24 Mn |
| Mar 31, 2023 | 2.28 Mn |
| Dec 31, 2022 | 2.42 Mn |
| Sep 30, 2022 | 2.20 Mn |
| Jun 30, 2022 | 2.35 Mn |
| Mar 31, 2022 | 2.09 Mn |
| Dec 31, 2021 | 1.17 Mn |
| Sep 30, 2021 | 1.20 Mn |
United Health Products Total 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-liabilities&ticker=UEEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "UEEC", "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-liabilities&ticker=UEEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();