Precision Optics Corporation (POCI) Income Taxes Paid (2009 - 2020)
Precision Optics Corporation (POCI) recorded Income Taxes Paid of $2,600 in FY2026 (year ended Jun 30, 2026), up 34.3% from $1,936 in FY2025.
Analysis
Precision Optics Corporation (POCI) Income Taxes Paid (2009 - 2020) Analysis & Trends
Starting with FY2011, Precision Optics Corporation's Income Taxes Paid history includes 16 fiscal years.
- Annual Income Taxes Paid has a five-year compound annual growth rate of 3.7% (FY2021 to FY2026).
- The FY2026 figure is the highest annual Income Taxes Paid in data going back to FY2011.
- Per Business Quant data, POCI's Income Taxes Paid was $1,936 in FY2025 (unchanged), $1,936 in FY2024 (unchanged), $1,936 in FY2023 (+112.3%) and $912.00 in FY2022 (-57.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | - |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 322.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 199.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | - |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 31.00 Mn |
| 10 | Precision Optics Corporation | 44.62 Mn | 21.82 Mn | 2.22 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 912.00 |
| Mar 31, 2017 | 912.00 |
| Sep 30, 2015 | 912.00 |
| Sep 30, 2014 | 912.00 |
| Sep 30, 2013 | 912.00 |
| Sep 30, 2012 | 912.00 |
| Sep 30, 2011 | 912.00 |
| Sep 30, 2010 | 912.00 |
| Sep 30, 2009 | 912.00 |
API Access
Precision Optics Corporation Income Taxes Paid 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=income-taxes-paid&ticker=POCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=POCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();