United Health Products (UEEC) Other Accumulated Expenses (2010 - 2026)
United Health Products' Other Accumulated Expenses came in at $50,000 for Q2 2026.
Analysis
United Health Products (UEEC) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2023, United Health Products' Other Accumulated Expenses was $10,000, down 70.5% from FY2022.
- Going back by year, Other Accumulated Expenses was $33,897 in FY2022 (+191.3%) and $11,637 in FY2021.
- The Q2 2026 figure represents the highest quarterly Other Accumulated Expenses since Q3 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | United Health Products | 7.34 Mn | 7.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50,000.00 |
| Dec 31, 2023 | 10,000.00 |
| Dec 31, 2022 | 33,897.00 |
| Dec 31, 2021 | 11,637.00 |
| Sep 30, 2016 | 189,568.00 |
| Jun 30, 2016 | 186,518.00 |
| Mar 31, 2016 | 183,469.00 |
| Dec 31, 2015 | 177,370.00 |
| Sep 30, 2015 | 359,851.00 |
| Jun 30, 2015 | 318,704.00 |
| Mar 31, 2015 | 289,224.00 |
| Dec 31, 2014 | 168,223.00 |
| Sep 30, 2014 | 160,761.00 |
| Mar 31, 2014 | 139,000.00 |
| Dec 31, 2013 | 136,106.00 |
| Sep 30, 2011 | 532,469.00 |
| Jun 30, 2011 | 117,275.00 |
| Dec 31, 2010 | 342,597.00 |
API Access
United Health Products Other Accumulated 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=other-accumulated-expenses&ticker=UEEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=UEEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();