Utah Medical Products (UTMD) EBIT (2010 - 2026)
Utah Medical Products (UTMD) posted EBIT of $2.65 million for Q2 2026, down 17.1% from $3.2 million a year earlier but up 3.3% from the prior quarter.
Utah Medical Products (UTMD) EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Utah Medical Products was $10.27 million, down 18.7% year-over-year; for FY2025, it was $11.4 million, down 16.1% from FY2024.
- Annual EBIT has declined for three consecutive years, with a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- In prior years, Utah Medical Products' EBIT was $13.59 million in FY2024 (-19.0%), $16.78 million in FY2023 (-15.2%), $19.79 million in FY2022 (+4.8%) and $18.88 million in FY2021 (+37.7%).
- Quarterly EBIT has run from a low of $2.44 million in Q4 2025 to a high of $5.14 million in Q3 2022 over five years.
- On a year-over-year basis, EBIT has declined in each of the last 15 quarters, with an average decline of 17.7% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was Q3 2021, with growth of 42.1%; the weakest was Q4 2024, with a decline of 25.7%.
- According to Business Quant data, EBIT for the three prior quarters was $2.57 million (Q1 2026), $2.44 million (Q4 2025) and $2.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 513.20 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 663.00 Mn |
| 10 | Utah Medical Products | 238.57 Mn | -106.39 Mn | 4.76 Mn | 2.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.65 Mn |
| Mar 31, 2026 | 2.57 Mn |
| Dec 31, 2025 | 2.44 Mn |
| Sep 30, 2025 | 2.61 Mn |
| Jun 30, 2025 | 3.20 Mn |
| Mar 31, 2025 | 3.15 Mn |
| Dec 31, 2024 | 2.93 Mn |
| Sep 30, 2024 | 3.34 Mn |
| Jun 30, 2024 | 3.44 Mn |
| Mar 31, 2024 | 3.88 Mn |
| Dec 31, 2023 | 3.94 Mn |
| Sep 30, 2023 | 3.97 Mn |
| Jun 30, 2023 | 4.43 Mn |
| Mar 31, 2023 | 4.44 Mn |
| Dec 31, 2022 | 5.07 Mn |
| Sep 30, 2022 | 5.14 Mn |
| Jun 30, 2022 | 5.06 Mn |
| Mar 31, 2022 | 4.52 Mn |
| Dec 31, 2021 | 5.13 Mn |
| Sep 30, 2021 | 5.10 Mn |
Utah Medical Products EBIT 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=ebit&ticker=UTMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=UTMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();