Optex Systems Holdings (OPXS) Receivables (2010 - 2026)
Optex Systems Holdings (OPXS) posted Receivables of $4.4 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), up 2.4% from $4.3 million a year earlier but down 23.8% from the prior quarter.
Optex Systems Holdings (OPXS) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Optex Systems Holdings' Receivables came in at $4.71 million, up 18.3% from FY2024.
- Annual Receivables has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- In prior fiscal years, Optex Systems Holdings' Receivables was $3.98 million in FY2024 (+0.6%), $3.96 million in FY2023 (+36.2%), $2.91 million in FY2022 (-8.6%) and $3.18 million in FY2021 (+7.8%).
- Quarterly Receivables has run from a low of $1.61 million in fiscal Q1 2023 to a high of $5.77 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Receivables has increased in each of the last six quarters, with growth averaging 26.7% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q1 2026, with growth of 132.6%; the weakest was fiscal Q1 2025, with a decline of 20.6%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $5.77 million (Q2 2026), $4.49 million (Q1 2026) and $4.71 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 15.83 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 32.92 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 13.18 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 19.39 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 1.04 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 48.50 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 3.62 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 10.26 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 10.85 Bn |
| 10 | Optex Systems Holdings | 72.73 Mn | 53.39 Mn | - | 4.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 4.40 Mn |
| Mar 29, 2026 | 5.77 Mn |
| Dec 28, 2025 | 4.49 Mn |
| Sep 28, 2025 | 4.71 Mn |
| Jun 29, 2025 | 4.30 Mn |
| Mar 30, 2025 | 4.42 Mn |
| Dec 29, 2024 | 1.93 Mn |
| Sep 29, 2024 | 3.98 Mn |
| Jun 30, 2024 | 3.32 Mn |
| Mar 31, 2024 | 3.68 Mn |
| Dec 31, 2023 | 2.43 Mn |
| Oct 1, 2023 | 3.96 Mn |
| Jul 2, 2023 | 2.87 Mn |
| Apr 2, 2023 | 2.28 Mn |
| Jan 1, 2023 | 1.61 Mn |
| Oct 2, 2022 | 2.91 Mn |
| Jul 3, 2022 | 1.92 Mn |
| Apr 3, 2022 | 1.92 Mn |
| Jan 2, 2022 | 2.01 Mn |
| Oct 3, 2021 | 3.18 Mn |
Optex Systems Holdings Receivables 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=receivables&ticker=OPXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=OPXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();