Optex Systems Holdings (OPXS) Total Liabilities (2010 - 2026)
Optex Systems Holdings' Total Liabilities came in at $4.56 million for fiscal Q2 2026 (quarter ended Mar 29, 2026), down 22.7% from $5.89 million a year earlier and down 16.6% from the prior quarter.
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Analysis
Optex Systems Holdings (OPXS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Optex Systems Holdings' Total Liabilities was $5.77 million, down 14.1% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $6.71 million in FY2024 (-8.8%), $7.36 million in FY2023 (+20.1%), $6.13 million in FY2022 (+19.2%) and $5.14 million in FY2021 (-19.3%).
- The fiscal Q2 2026 figure represents the lowest quarterly Total Liabilities since fiscal Q1 2016.
- Year-over-year, Total Liabilities increased in 1 of the last seven quarters, with an average decline of 13.1%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q3 2023 (growth of 37.8%), and the weakest in fiscal Q1 2025 (a decline of 27.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 109.44 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 105.63 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 164.18 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 54.45 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 32.91 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 18.06 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 7.52 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 33.81 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 30.44 Bn |
| 10 | Optex Systems Holdings | 56.80 Mn | 37.46 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | 4.56 Mn |
| Dec 28, 2025 | 5.47 Mn |
| Sep 28, 2025 | 5.77 Mn |
| Mar 30, 2025 | 5.89 Mn |
| Dec 29, 2024 | 5.06 Mn |
| Sep 29, 2024 | 6.71 Mn |
| Jun 30, 2024 | 7.13 Mn |
| Mar 31, 2024 | 7.34 Mn |
| Dec 31, 2023 | 7.01 Mn |
| Oct 1, 2023 | 7.36 Mn |
| Jul 2, 2023 | 7.65 Mn |
| Apr 2, 2023 | 7.19 Mn |
| Jan 1, 2023 | 7.17 Mn |
| Oct 2, 2022 | 6.13 Mn |
| Jul 3, 2022 | 5.55 Mn |
| Apr 3, 2022 | 5.79 Mn |
| Jan 2, 2022 | 5.63 Mn |
| Oct 3, 2021 | 5.14 Mn |
| Jun 27, 2021 | 6.03 Mn |
| Mar 28, 2021 | 7.33 Mn |
API Access
Optex Systems Holdings Total Liabilities 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=total-liabilities&ticker=OPXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=OPXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();