Utah Medical Products (UTMD) Non-Current Assets (2010 - 2026)
Utah Medical Products (UTMD) reported Non-Current Assets of $23.93 million for Q2 2026, down 9.4% from $26.43 million a year earlier and down 0.3% from the prior quarter.
Utah Medical Products (UTMD) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Utah Medical Products posted Non-Current Assets of $24.8 million, down 5.4% from FY2024.
- Non-Current Assets has declined for six consecutive years, with a five-year compound annual growth rate of -12.9% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $26.21 million in FY2024 (-10.2%), $29.19 million in FY2023 (-14.0%), $33.96 million in FY2022 (-20.1%) and $42.48 million in FY2021 (-14.2%).
- The Q2 2026 figure ranks as the lowest quarterly Non-Current Assets since Q4 2010.
- Year over year, Non-Current Assets has now declined in each of the last 26 quarters, with an average decline of 7.4% over the last eight quarters.
- The year-over-year decline in Non-Current Assets has ranged between 4.6% (Q3 2024) and 22.2% (Q3 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $24 million (Q1 2026), $24.8 million (Q4 2025) and $25.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Utah Medical Products | 238.57 Mn | -106.39 Mn | 4.76 Mn | 23.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.93 Mn |
| Mar 31, 2026 | 24.00 Mn |
| Dec 31, 2025 | 24.80 Mn |
| Sep 30, 2025 | 25.44 Mn |
| Jun 30, 2025 | 26.43 Mn |
| Mar 31, 2025 | 26.12 Mn |
| Dec 31, 2024 | 26.21 Mn |
| Sep 30, 2024 | 28.04 Mn |
| Jun 30, 2024 | 27.71 Mn |
| Mar 31, 2024 | 28.29 Mn |
| Dec 31, 2023 | 29.19 Mn |
| Sep 30, 2023 | 29.40 Mn |
| Jun 30, 2023 | 31.67 Mn |
| Mar 31, 2023 | 32.66 Mn |
| Dec 31, 2022 | 33.96 Mn |
| Sep 30, 2022 | 34.17 Mn |
| Jun 30, 2022 | 37.20 Mn |
| Mar 31, 2022 | 40.32 Mn |
| Dec 31, 2021 | 42.48 Mn |
| Sep 30, 2021 | 43.91 Mn |
Utah Medical Products Non-Current Assets 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=non-current-assets&ticker=UTMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=UTMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();