Optex Systems Holdings (OPXS) Operating Expenses (2010 - 2026)
Optex Systems Holdings (OPXS) reported Operating Expenses of $1.73 million for fiscal Q2 2026 (quarter ended Mar 29, 2026), up 53.7% from $1.12 million a year earlier but down 11.2% from the prior quarter.
Optex Systems Holdings (OPXS) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 29, 2026, Optex Systems Holdings' Operating Expenses came in at $6.01 million, up 27.6% year-over-year; for FY2025 (ended Sep 28, 2025), it was $4.93 million, up 4.6% from FY2024.
- Operating Expenses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $4.71 million in FY2024 (+22.9%), $3.83 million in FY2023 (+17.9%), $3.25 million in FY2022 (+7.8%) and $3.01 million in FY2021 (-6.0%).
- Five-year quarterly Operating Expenses spans a low of $689,000 in fiscal Q3 2021 and a high of $1.95 million in fiscal Q1 2026.
- Year over year, Operating Expenses gained in five of the last six quarters, with growth averaging 27.6%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2026 (growth of 60.6%); the low point was fiscal Q3 2021 (a decline of 19.4%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Optex Systems Holdings | 74.82 Mn | 55.48 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | 1.73 Mn |
| Dec 28, 2025 | 1.95 Mn |
| Mar 30, 2025 | 1.12 Mn |
| Dec 29, 2024 | 1.21 Mn |
| Sep 29, 2024 | 1.11 Mn |
| Jun 30, 2024 | 1.27 Mn |
| Mar 31, 2024 | 1.20 Mn |
| Dec 31, 2023 | 1.13 Mn |
| Oct 1, 2023 | 935,000.00 |
| Jul 2, 2023 | 960,000.00 |
| Apr 2, 2023 | 938,000.00 |
| Jan 1, 2023 | 999,000.00 |
| Oct 2, 2022 | 777,000.00 |
| Jul 3, 2022 | 758,000.00 |
| Apr 3, 2022 | 907,000.00 |
| Jan 2, 2022 | 808,000.00 |
| Oct 3, 2021 | 776,000.00 |
| Jun 27, 2021 | 689,000.00 |
| Mar 28, 2021 | 792,000.00 |
| Dec 27, 2020 | 756,000.00 |
Optex Systems Holdings 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=OPXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=OPXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();