Precision Optics Corporation (POCI) Long-Term Debt Repayments (2011 - 2026)
Precision Optics Corporation's Long-Term Debt Repayments came in at $149,083 for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 13.6% from $131,210 a year earlier and unchanged from the prior quarter.
Precision Optics Corporation (POCI) Long-Term Debt Repayments (2011 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Precision Optics Corporation's Long-Term Debt Repayments was $596,333, up 112.6% from FY2025.
- Long-Term Debt Repayments carries a four-year compound annual growth rate of 24.7% (FY2022 to FY2026).
- Going back by fiscal year, Long-Term Debt Repayments was $280,440 in FY2025 (-45.4%), $513,259 in FY2024 (+39.7%), $367,341 in FY2023 (+48.7%) and $247,002 in FY2022.
- The five-year range for quarterly Long-Term Debt Repayments is -$7,042 (fiscal Q2 2025) to $149,084 (fiscal Q3 2026).
- Year-over-year, Long-Term Debt Repayments increased in four of the last six quarters, with growth averaging 64.5%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in fiscal Q3 2026 (growth of 433.3%), and the weakest in fiscal Q3 2025 (a decline of 78.2%).
- Business Quant data shows POCI's Long-Term Debt Repayments at $149,084 (Q3 2026), $149,083 (Q2 2026) and $149,083 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | - |
| 10 | Precision Optics Corporation | 36.94 Mn | 14.14 Mn | 2.22 Mn | 149,083.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 149,083.00 |
| Mar 31, 2026 | 158,352.00 |
| Dec 31, 2025 | 158,198.00 |
| Sep 30, 2025 | 158,068.00 |
| Jun 30, 2025 | 140,067.00 |
| Mar 31, 2025 | 37,624.00 |
| Dec 31, 2024 | 4,336.00 |
| Sep 30, 2024 | 139,527.00 |
| Jun 30, 2024 | 139,359.00 |
| Mar 31, 2024 | 139,197.00 |
| Dec 31, 2023 | 139,035.00 |
| Sep 30, 2023 | 138,877.00 |
| Jun 30, 2023 | 101,964.00 |
| Mar 31, 2023 | 102,178.00 |
| Dec 31, 2022 | 101,097.00 |
| Sep 30, 2022 | 102,807.00 |
| Jun 30, 2022 | 102,352.00 |
| Mar 31, 2022 | 102,215.00 |
| Dec 31, 2021 | 71,409.00 |
| Sep 30, 2021 | 9,375.00 |
Precision Optics Corporation Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=POCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=POCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();