Precision Optics Corporation (POCI) Revenue (2010 - 2026)
Precision Optics Corporation's Revenue was $8.71 million in fiscal Q3 2026 (quarter ended Mar 31, 2026), up 108.0% from $4.19 million a year earlier and up 18.2% from the prior quarter.
Precision Optics Corporation (POCI) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Precision Optics Corporation's Revenue was $28.94 million through Mar 31, 2026, up 64.2% year-over-year; for FY2025 (ended Jun 30, 2025), it came in at $19.09 million, down 0.1% from FY2024.
- Revenue shows a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- In earlier fiscal years, Revenue was $19.1 million in FY2024 (-9.2%), $21.04 million in FY2023 (+34.2%), $15.68 million in FY2022 (+46.9%) and $10.67 million in FY2021 (+7.6%).
- The fiscal Q3 2026 figure marks the highest quarterly Revenue in data going back to fiscal Q1 2011.
- Compared with a year earlier, Revenue has increased for four straight quarters, with growth averaging 28.2% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was fiscal Q1 2023 (growth of 117.7%); the worst was fiscal Q3 2025 (a decline of 20.2%).
- Per Business Quant data, POCI's Revenue in the three fiscal quarters before Q3 2026 was $7.37 million (Q2 2026), $6.68 million (Q1 2026) and $6.18 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.74 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.98 Bn |
| 10 | Precision Optics Corporation | 35.40 Mn | 12.61 Mn | 2.22 Mn | 8.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.77 Mn |
| Mar 31, 2026 | 8.71 Mn |
| Dec 31, 2025 | 7.37 Mn |
| Sep 30, 2025 | 6.68 Mn |
| Jun 30, 2025 | 6.18 Mn |
| Mar 31, 2025 | 4.19 Mn |
| Dec 31, 2024 | 4.53 Mn |
| Sep 30, 2024 | 4.20 Mn |
| Jun 30, 2024 | 4.72 Mn |
| Mar 31, 2024 | 5.24 Mn |
| Dec 31, 2023 | 4.82 Mn |
| Sep 30, 2023 | 4.32 Mn |
| Jun 30, 2023 | 5.02 Mn |
| Mar 31, 2023 | 5.05 Mn |
| Dec 31, 2022 | 5.89 Mn |
| Sep 30, 2022 | 5.09 Mn |
| Jun 30, 2022 | 4.79 Mn |
| Mar 31, 2022 | 4.65 Mn |
| Dec 31, 2021 | 3.90 Mn |
| Sep 30, 2021 | 2.34 Mn |
Precision Optics Corporation Revenue 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=revenue&ticker=POCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=POCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();