Optex Systems Holdings (OPXS) Cost of Revenue (2010 - 2026)
Optex Systems Holdings' Cost of Revenue came in at $6.24 million for fiscal Q2 2026 (quarter ended Mar 29, 2026), down 15.4% from $7.37 million a year earlier and down 11.5% from the prior quarter.
Optex Systems Holdings (OPXS) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 29, 2026, Optex Systems Holdings reported Cost of Revenue of $26.72 million, up 0.3% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $29.28 million, up 19.7% from FY2024.
- Cost of Revenue has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- Going back by fiscal year, Cost of Revenue was $24.47 million in FY2024 (+28.5%), $19.04 million in FY2023 (+8.9%), $17.49 million in FY2022 (+11.4%) and $15.7 million in FY2021 (-20.7%).
- The fiscal Q2 2026 figure represents the lowest quarterly Cost of Revenue since fiscal Q1 2025.
- Year-over-year, Cost of Revenue increased in five of the last six quarters, with growth averaging 13.6%.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q1 2024 (growth of 59.0%), and the weakest in fiscal Q4 2021 (a decline of 20.7%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.67 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 19.58 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 22.15 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 17.62 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 11.91 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.46 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 8.76 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 6.07 Bn |
| 10 | Optex Systems Holdings | 72.73 Mn | 53.39 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | 6.24 Mn |
| Dec 28, 2025 | 7.05 Mn |
| Mar 30, 2025 | 7.37 Mn |
| Dec 29, 2024 | 6.07 Mn |
| Sep 29, 2024 | 7.04 Mn |
| Jun 30, 2024 | 6.18 Mn |
| Mar 31, 2024 | 5.97 Mn |
| Dec 31, 2023 | 5.28 Mn |
| Oct 1, 2023 | 5.44 Mn |
| Jul 2, 2023 | 5.46 Mn |
| Apr 2, 2023 | 4.82 Mn |
| Jan 1, 2023 | 3.32 Mn |
| Oct 2, 2022 | 4.65 Mn |
| Jul 3, 2022 | 4.90 Mn |
| Apr 3, 2022 | 4.42 Mn |
| Jan 2, 2022 | 3.52 Mn |
| Oct 3, 2021 | 4.51 Mn |
| Jun 27, 2021 | 3.69 Mn |
| Mar 28, 2021 | 3.87 Mn |
| Dec 27, 2020 | 3.64 Mn |
Optex Systems Holdings Cost of Revenue 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=cost-of-revenue&ticker=OPXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=OPXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();