Kopin (KOPN) Operating Expenses (2010 - 2026)
Kopin's Operating Expenses was $16.54 million in Q1 2026, up 14.5% from $14.45 million a year earlier and up 23.6% from the prior quarter.
Kopin (KOPN) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Kopin's Operating Expenses was $52.24 million through Mar 28, 2026, down 19.9% year-over-year; for FY2025, it came in at $49.18 million, down 47.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $93.44 million in FY2024 (+62.3%), $57.57 million in FY2023 (-16.8%), $69.19 million in FY2022 (+16.4%) and $59.44 million in FY2021 (+32.4%).
- The Q1 2026 figure marks the highest quarterly Operating Expenses since Q4 2024.
- Compared with a year earlier, Operating Expenses was higher in four of the last eight quarters, with an average decline of 11.9%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2024 (growth of 214.1%); the worst was Q1 2025 (a decline of 66.1%).
- Per Business Quant data, KOPN's Operating Expenses in the three quarters before Q1 2026 was $13.39 million (Q4 2025), $8.4 million (Q3 2025) and $13.92 million (Q2 2025).
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 | Kopin | 840.29 Mn | 665.88 Mn | - | 16.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 16.54 Mn |
| Dec 27, 2025 | 13.39 Mn |
| Sep 27, 2025 | 8.40 Mn |
| Jun 28, 2025 | 13.92 Mn |
| Mar 29, 2025 | 14.45 Mn |
| Dec 28, 2024 | 16.86 Mn |
| Sep 28, 2024 | 16.12 Mn |
| Jun 29, 2024 | 17.79 Mn |
| Mar 30, 2024 | 42.67 Mn |
| Dec 30, 2023 | 15.37 Mn |
| Sep 30, 2023 | 13.33 Mn |
| Jul 1, 2023 | 15.30 Mn |
| Apr 1, 2023 | 13.58 Mn |
| Dec 31, 2022 | 18.41 Mn |
| Sep 24, 2022 | 15.75 Mn |
| Jun 25, 2022 | 17.38 Mn |
| Mar 26, 2022 | 17.66 Mn |
| Dec 25, 2021 | 16.82 Mn |
| Sep 25, 2021 | 12.93 Mn |
| Jun 26, 2021 | 13.83 Mn |
Kopin 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=KOPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KOPN", "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=KOPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();