Utah Medical Products (UTMD) Total Liabilities (2010 - 2026)
Utah Medical Products' Total Liabilities came in at $2.54 million for Q2 2026, down 22.4% from $3.27 million a year earlier and down 36.7% from the prior quarter.
Utah Medical Products (UTMD) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Utah Medical Products' Total Liabilities was $3.27 million, down 35.9% from FY2024.
- Total Liabilities has declined in each of the last three years, with a five-year compound annual growth rate of -18.2% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $5.11 million in FY2024 (-28.5%), $7.15 million in FY2023 (-25.7%), $9.62 million in FY2022 (+13.2%) and $8.5 million in FY2021 (-4.8%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities in data going back to Q4 2010.
- Year-over-year, Total Liabilities has declined for 12 consecutive quarters, with an average decline of 30.9% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2022 (growth of 13.2%), and the weakest in Q2 2025 (a decline of 45.3%).
- Business Quant data shows UTMD's Total Liabilities at $4.01 million (Q1 2026), $3.27 million (Q4 2025) and $3.72 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Utah Medical Products | 238.57 Mn | -106.39 Mn | 4.76 Mn | 2.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.54 Mn |
| Mar 31, 2026 | 4.01 Mn |
| Dec 31, 2025 | 3.27 Mn |
| Sep 30, 2025 | 3.72 Mn |
| Jun 30, 2025 | 3.27 Mn |
| Mar 31, 2025 | 5.47 Mn |
| Dec 31, 2024 | 5.11 Mn |
| Sep 30, 2024 | 5.50 Mn |
| Jun 30, 2024 | 5.98 Mn |
| Mar 31, 2024 | 7.70 Mn |
| Dec 31, 2023 | 7.15 Mn |
| Sep 30, 2023 | 7.54 Mn |
| Jun 30, 2023 | 8.71 Mn |
| Mar 31, 2023 | 9.75 Mn |
| Dec 31, 2022 | 9.62 Mn |
| Sep 30, 2022 | 10.23 Mn |
| Jun 30, 2022 | 8.68 Mn |
| Mar 31, 2022 | 10.64 Mn |
| Dec 31, 2021 | 8.50 Mn |
| Sep 30, 2021 | 9.77 Mn |
Utah Medical 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=UTMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "UTMD", "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=UTMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();