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 6.4% from $140,067 a year earlier but down 5.9% 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 $623,701, up 94.0% from FY2025.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 60.4% (FY2021 to FY2026).
- Going back by fiscal year, Long-Term Debt Repayments was $321,554 in FY2025 (-42.2%), $556,468 in FY2024 (+36.4%), $408,046 in FY2023 (+43.0%) and $285,351 in FY2022 (+385.3%).
- The five-year range for quarterly Long-Term Debt Repayments is $4,336 (fiscal Q2 2025) to $158,352 (fiscal Q3 2026).
- Year-over-year, Long-Term Debt Repayments increased in five of the last seven quarters, with growth averaging 24.5%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in fiscal Q1 2023 (growth of 996.6%), and the weakest in fiscal Q2 2025 (a decline of 96.9%).
- Business Quant data shows POCI's Long-Term Debt Repayments at $158,352 (Q3 2026), $158,198 (Q2 2026) and $158,068 (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 | 259.44 Bn | 236.08 Bn | 5.13 Bn | 1.11 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 1.33 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | - |
| 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 | 7.00 Mn |
| 10 | Precision Optics Corporation | 44.62 Mn | 21.82 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();