Optex Systems Holdings (OPXS) Accumulated Expenses (2010 - 2026)
Optex Systems Holdings (OPXS) posted Accumulated Expenses of $1.57 million for fiscal Q2 2026 (quarter ended Mar 29, 2026), up 19.8% from $1.31 million a year earlier and up 7.7% from the prior quarter.
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Analysis
Optex Systems Holdings (OPXS) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Optex Systems Holdings' Accumulated Expenses came in at $1.63 million, up 29.9% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- In prior fiscal years, Optex Systems Holdings' Accumulated Expenses was $1.26 million in FY2024 (-0.6%), $1.27 million in FY2023 (+32.0%), $958,000 in FY2022 (+19.8%) and $800,000 in FY2021 (-25.7%).
- Quarterly Accumulated Expenses has run from a low of $787,000 in fiscal Q3 2022 to a high of $1.63 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last three quarters, with growth averaging 19.5% over the last seven quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q1 2026, with growth of 36.9%; the weakest was fiscal Q4 2021, with a decline of 25.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn |
| 10 | Optex Systems Holdings | 72.73 Mn | 53.39 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | 1.57 Mn |
| Dec 28, 2025 | 1.46 Mn |
| Sep 28, 2025 | 1.63 Mn |
| Mar 30, 2025 | 1.31 Mn |
| Dec 29, 2024 | 1.07 Mn |
| Sep 29, 2024 | 1.26 Mn |
| Jun 30, 2024 | 1.19 Mn |
| Mar 31, 2024 | 1.09 Mn |
| Dec 31, 2023 | 992,000.00 |
| Oct 1, 2023 | 1.27 Mn |
| Jul 2, 2023 | 969,000.00 |
| Apr 2, 2023 | 890,000.00 |
| Jan 1, 2023 | 977,000.00 |
| Oct 2, 2022 | 958,000.00 |
| Jul 3, 2022 | 787,000.00 |
| Apr 3, 2022 | 802,000.00 |
| Jan 2, 2022 | 840,000.00 |
| Oct 3, 2021 | 800,000.00 |
| Jun 27, 2021 | 872,000.00 |
| Mar 28, 2021 | 812,000.00 |
API Access
Optex Systems Holdings Accumulated 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=accumulated-expenses&ticker=OPXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=OPXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();