Precision Optics Corporation (POCI) Inventory (2011 - 2026)
Precision Optics Corporation's Inventory was $3.83 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 7.5% from $3.56 million a year earlier and up 3.4% from the prior quarter.
Precision Optics Corporation (POCI) Inventory (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Precision Optics Corporation has reported Inventory for 61 quarters.
- Inventory has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 15.2% (FY2021 to FY2026).
- In earlier fiscal years, Inventory was $3.56 million in FY2025 (+24.2%), $2.87 million in FY2024 (+3.3%), $2.78 million in FY2023 (-8.1%) and $3.02 million in FY2022 (+60.3%).
- Quarterly Inventory has moved between $2.12 million (fiscal Q1 2022) and $4.26 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Inventory has increased for 12 straight quarters, with growth averaging 14.6% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was fiscal Q4 2022 (growth of 60.3%); the worst was fiscal Q4 2023 (a decline of 8.1%).
- Per Business Quant data, POCI's Inventory in the three fiscal quarters before Q4 2026 was $3.7 million (Q3 2026), $4.26 million (Q2 2026) and $3.88 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 2.13 Bn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 1.13 Bn |
| 10 | Precision Optics Corporation | 36.81 Mn | 14.01 Mn | 2.22 Mn | 3.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.83 Mn |
| Mar 31, 2026 | 3.70 Mn |
| Dec 31, 2025 | 4.26 Mn |
| Sep 30, 2025 | 3.88 Mn |
| Jun 30, 2025 | 3.56 Mn |
| Mar 31, 2025 | 3.67 Mn |
| Dec 31, 2024 | 3.85 Mn |
| Sep 30, 2024 | 3.46 Mn |
| Jun 30, 2024 | 2.87 Mn |
| Mar 31, 2024 | 3.03 Mn |
| Dec 31, 2023 | 3.10 Mn |
| Sep 30, 2023 | 2.97 Mn |
| Jun 30, 2023 | 2.78 Mn |
| Mar 31, 2023 | 2.96 Mn |
| Dec 31, 2022 | 2.85 Mn |
| Sep 30, 2022 | 2.76 Mn |
| Jun 30, 2022 | 3.02 Mn |
| Mar 31, 2022 | 2.97 Mn |
| Dec 31, 2021 | 2.50 Mn |
| Sep 30, 2021 | 2.12 Mn |
Precision Optics Corporation Inventory 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=inventory&ticker=POCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "POCI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=POCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();