Precision Optics Corporation (POCI) Inventory (2011 - 2026)
Precision Optics Corporation's Inventory was $3.7 million in fiscal Q3 2026 (quarter ended Mar 31, 2026), up 0.8% from $3.67 million a year earlier but down 13.2% from the prior quarter.
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Analysis
Precision Optics Corporation (POCI) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Inventory at Precision Optics Corporation came in at $3.56 million, up 24.2% from FY2024.
- Inventory shows a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- In earlier fiscal years, Inventory was $2.87 million in FY2024 (+3.3%), $2.78 million in FY2023 (-8.1%), $3.02 million in FY2022 (+60.3%) and $1.89 million in FY2021 (-14.2%).
- Quarterly Inventory has moved between $1.89 million (fiscal Q4 2021) and $4.26 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Inventory has increased for 11 straight quarters, with growth averaging 14.1% 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 2021 (a decline of 14.2%).
- Per Business Quant data, POCI's Inventory in the three fiscal quarters before Q3 2026 was $4.26 million (Q2 2026), $3.88 million (Q1 2026) and $3.56 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.13 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Precision Optics Corporation | 35.40 Mn | 12.61 Mn | 2.22 Mn | 3.83 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();