United Health Products (UEEC) Operating Expenses (2009 - 2026)
United Health Products' Operating Expenses came in at $166,850 for Q2 2026, down 37.8% from $268,356 a year earlier and down 37.2% from the prior quarter.
United Health Products (UEEC) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, United Health Products reported Operating Expenses of $930,333, down 68.3% year-over-year; for FY2025, it came in at $2.26 million, up 12.3% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -31.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $2.01 million in FY2024 (-17.3%), $2.43 million in FY2023 (-14.0%), $2.82 million in FY2022 (-90.5%) and $29.8 million in FY2021 (+100.7%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q2 2017.
- Year-over-year, Operating Expenses has declined for five consecutive quarters, with growth averaging 6.6% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2025 (growth of 250.3%), and the weakest in Q1 2022 (a decline of 96.4%).
- Business Quant data shows UEEC's Operating Expenses at $265,581 (Q1 2026), $264,723 (Q4 2025) and $233,179 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 9.87 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 11.66 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 2.59 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 3.21 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 2.60 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 844.30 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 1.43 Bn |
| 10 | United Health Products | 2.02 Mn | 1.91 Mn | - | 166,850.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 166,850.00 |
| Mar 31, 2026 | 265,581.00 |
| Dec 31, 2025 | 264,723.00 |
| Sep 30, 2025 | 233,179.00 |
| Jun 30, 2025 | 268,356.00 |
| Mar 31, 2025 | 1.49 Mn |
| Dec 31, 2024 | 785,398.00 |
| Sep 30, 2024 | 391,903.00 |
| Jun 30, 2024 | 405,177.00 |
| Mar 31, 2024 | 425,094.00 |
| Dec 31, 2023 | 446,657.00 |
| Sep 30, 2023 | 450,451.00 |
| Jun 30, 2023 | 475,456.00 |
| Mar 31, 2023 | 1.05 Mn |
| Dec 31, 2022 | 553,563.00 |
| Sep 30, 2022 | 558,034.00 |
| Jun 30, 2022 | 754,797.00 |
| Mar 31, 2022 | 954,501.00 |
| Dec 31, 2021 | 1.07 Mn |
| Sep 30, 2021 | 724,416.00 |
United Health Products Operating Expenses 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=operating-expenses&ticker=UEEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=UEEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();