Optex Systems Holdings (OPXS) Cash & Equivalents (2010 - 2026)
Optex Systems Holdings' Cash & Equivalents came in at $5 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), up 19.0% from the prior quarter.
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Analysis
Optex Systems Holdings (OPXS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Optex Systems Holdings' Cash & Equivalents was $4.3 million, up 326.2% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- Going back by fiscal year, Cash & Equivalents was $1.01 million in FY2024 (-16.2%), $1.2 million in FY2023 (+28.9%), $934,000 in FY2022 (-76.1%) and $3.9 million in FY2021 (-17.0%).
- The five-year range for quarterly Cash & Equivalents is $314,000 (fiscal Q3 2023) to $5.84 million (fiscal Q1 2026).
- Year-over-year, Cash & Equivalents increased in four of the last five quarters, with growth averaging 93.7%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q4 2025 (growth of 326.2%), and the weakest in fiscal Q3 2023 (a decline of 93.9%).
- Business Quant data shows OPXS's Cash & Equivalents at $4.2 million (Q2 2026), $5.84 million (Q1 2026) and $4.3 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 8.75 Bn |
| 10 | Optex Systems Holdings | 72.73 Mn | 53.39 Mn | - | 5.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 5.00 Mn |
| Mar 29, 2026 | 4.20 Mn |
| Dec 28, 2025 | 5.84 Mn |
| Sep 28, 2025 | 4.30 Mn |
| Mar 30, 2025 | 3.53 Mn |
| Dec 29, 2024 | 2.49 Mn |
| Sep 29, 2024 | 1.01 Mn |
| Jun 30, 2024 | 486,000.00 |
| Mar 31, 2024 | 321,000.00 |
| Dec 31, 2023 | 2.37 Mn |
| Oct 1, 2023 | 1.20 Mn |
| Jul 2, 2023 | 314,000.00 |
| Apr 2, 2023 | 676,000.00 |
| Jan 1, 2023 | 1.28 Mn |
| Oct 2, 2022 | 934,000.00 |
| Jul 3, 2022 | 5.17 Mn |
| Apr 3, 2022 | 4.88 Mn |
| Jan 2, 2022 | 5.29 Mn |
| Oct 3, 2021 | 3.90 Mn |
| Jun 27, 2021 | 4.76 Mn |
API Access
Optex Systems Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=OPXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=OPXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();