Universal Electronics (UEIC) Operating Expenses (2010 - 2026)
Universal Electronics' Operating Expenses came in at $21.12 million for Q2 2026, down 25.1% from $28.19 million a year earlier and down 13.8% from the prior quarter.
Universal Electronics (UEIC) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Universal Electronics reported Operating Expenses of $100.46 million, down 16.2% year-over-year; for FY2025, it came in at $112.87 million, down 9.8% from FY2024.
- Operating Expenses has declined in each of the last four years, with a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $125.12 million in FY2024 (-6.5%), $133.79 million in FY2023 (-2.9%), $137.74 million in FY2022 (-8.0%) and $149.76 million in FY2021 (+7.8%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q3 2010.
- Year-over-year, Operating Expenses has declined for six consecutive quarters, with an average decline of 11.3% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 8.9%), and the weakest in Q2 2026 (a decline of 25.1%).
- Business Quant data shows UEIC's Operating Expenses at $24.5 million (Q1 2026), $25.21 million (Q4 2025) and $29.63 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,812.19 Bn | 4,559.68 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.99 Bn | 357.91 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 345.43 Bn | 301.18 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 255.77 Bn | 209.23 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 252.54 Bn | 241.07 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 207.16 Bn | 202.15 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.71 Bn | 151.83 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.72 Bn | 94.11 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Lumentum Holdings | 86.25 Bn | 78.06 Bn | 477.30 Mn | 198.00 Mn |
| 10 | Universal Electronics | 68.16 Mn | -57.88 Mn | 25.91 Mn | 21.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.12 Mn |
| Mar 31, 2026 | 24.50 Mn |
| Dec 31, 2025 | 25.21 Mn |
| Sep 30, 2025 | 29.63 Mn |
| Jun 30, 2025 | 28.19 Mn |
| Mar 31, 2025 | 29.84 Mn |
| Dec 31, 2024 | 31.50 Mn |
| Sep 30, 2024 | 30.31 Mn |
| Jun 30, 2024 | 30.41 Mn |
| Mar 31, 2024 | 32.90 Mn |
| Dec 31, 2023 | 30.45 Mn |
| Sep 30, 2023 | 34.45 Mn |
| Jun 30, 2023 | 33.75 Mn |
| Mar 31, 2023 | 35.14 Mn |
| Dec 31, 2022 | 34.10 Mn |
| Sep 30, 2022 | 32.95 Mn |
| Jun 30, 2022 | 33.87 Mn |
| Mar 31, 2022 | 36.83 Mn |
| Dec 31, 2021 | 39.42 Mn |
| Sep 30, 2021 | 36.92 Mn |
Universal Electronics 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=UEIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "UEIC", "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=UEIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();