Optex Systems Holdings (OPXS) Enterprise Value (2010 - 2026)
Optex Systems Holdings (OPXS) posted Enterprise Value of $84.09 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), up 5.9% from $79.43 million a year earlier but down 4.5% from the prior quarter.
Optex Systems Holdings (OPXS) Enterprise Value (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Enterprise Value at Optex Systems Holdings was $69.75 million, down 12.2% year-over-year; for FY2025 (ended Sep 28, 2025), it was $86.22 million, up 70.4% from FY2024.
- Annual Enterprise Value has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 47.5% (FY2020 to FY2025).
- In prior fiscal years, Optex Systems Holdings' Enterprise Value was $50.61 million in FY2024 (+87.9%), $26.93 million in FY2023 (+67.0%), $16.13 million in FY2022 (+24.9%) and $12.91 million in FY2021 (+4.7%).
- Quarterly Enterprise Value has run from a low of $10.56 million in fiscal Q1 2022 to a high of $91.77 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Enterprise Value has increased in each of the last five quarters, with growth averaging 56.6% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q2 2024, with growth of 157.7%; the weakest was fiscal Q2 2025, with a decline of 32.5%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $88.07 million (Q2 2026), $91.77 million (Q1 2026) and $86.22 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn |
| 10 | Optex Systems Holdings | 73.43 Mn | 54.09 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 84.09 Mn |
| Mar 29, 2026 | 88.07 Mn |
| Dec 28, 2025 | 91.77 Mn |
| Sep 28, 2025 | 86.22 Mn |
| Jun 29, 2025 | 79.43 Mn |
| Mar 30, 2025 | 35.09 Mn |
| Dec 29, 2024 | 45.92 Mn |
| Sep 29, 2024 | 50.61 Mn |
| Jun 30, 2024 | 49.14 Mn |
| Mar 31, 2024 | 51.97 Mn |
| Dec 31, 2023 | 42.32 Mn |
| Oct 1, 2023 | 26.93 Mn |
| Jul 2, 2023 | 20.99 Mn |
| Apr 2, 2023 | 20.17 Mn |
| Jan 1, 2023 | 18.67 Mn |
| Oct 2, 2022 | 16.13 Mn |
| Jul 3, 2022 | 10.98 Mn |
| Apr 3, 2022 | 13.34 Mn |
| Jan 2, 2022 | 10.56 Mn |
| Oct 3, 2021 | 12.91 Mn |
Optex Systems Holdings Enterprise Value 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=enterprise-value&ticker=OPXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "OPXS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=OPXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();