Precision Optics Corporation (POCI) Operating Expenses (2010 - 2026)
Precision Optics Corporation's Operating Expenses was $2.12 million in fiscal Q3 2026 (quarter ended Mar 31, 2026), down 13.6% from $2.46 million a year earlier but up 8.9% from the prior quarter.
Precision Optics Corporation (POCI) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Precision Optics Corporation's Operating Expenses was $8.76 million through Mar 31, 2026, down 4.5% year-over-year; for FY2025 (ended Jun 30, 2025), it was $8.96 million, up 5.1% from FY2024.
- Operating Expenses has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $8.52 million in FY2024 (+1.8%), $8.37 million in FY2023 (+30.0%), $6.44 million in FY2022 (+48.5%) and $4.34 million in FY2021 (-9.3%).
- Quarterly Operating Expenses has moved between $1.21 million (fiscal Q1 2022) and $2.54 million (fiscal Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last eight quarters, with growth averaging 2.2%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2022 (growth of 66.6%); the worst was fiscal Q3 2026 (a decline of 13.6%).
- Per Business Quant data, POCI's Operating Expenses in the three fiscal quarters before Q3 2026 was $1.95 million (Q2 2026), $2.54 million (Q1 2026) and $2.16 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Precision Optics Corporation | 35.40 Mn | 12.61 Mn | 2.22 Mn | 2.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.33 Mn |
| Mar 31, 2026 | 2.12 Mn |
| Dec 31, 2025 | 1.95 Mn |
| Sep 30, 2025 | 2.54 Mn |
| Jun 30, 2025 | 2.16 Mn |
| Mar 31, 2025 | 2.46 Mn |
| Dec 31, 2024 | 1.98 Mn |
| Sep 30, 2024 | 2.36 Mn |
| Jun 30, 2024 | 2.38 Mn |
| Mar 31, 2024 | 2.12 Mn |
| Dec 31, 2023 | 2.16 Mn |
| Sep 30, 2023 | 1.87 Mn |
| Jun 30, 2023 | 2.37 Mn |
| Mar 31, 2023 | 2.23 Mn |
| Dec 31, 2022 | 2.03 Mn |
| Sep 30, 2022 | 1.74 Mn |
| Jun 30, 2022 | 1.86 Mn |
| Mar 31, 2022 | 1.79 Mn |
| Dec 31, 2021 | 1.58 Mn |
| Sep 30, 2021 | 1.21 Mn |
Precision Optics Corporation Operating Expenses 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=operating-expenses&ticker=POCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=POCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();