Precision Optics Corporation (POCI) Total Liabilities (2011 - 2026)
Precision Optics Corporation (POCI) posted Total Liabilities of $13.58 million for fiscal Q3 2026 (quarter ended Mar 31, 2026), up 110.7% from $6.44 million a year earlier and up 0.1% from the prior quarter.
Precision Optics Corporation (POCI) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Precision Optics Corporation's Total Liabilities came in at $7.53 million, up 10.0% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 16.0% (FY2020 to FY2025).
- In prior fiscal years, Precision Optics Corporation's Total Liabilities was $6.84 million in FY2024 (-11.0%), $7.69 million in FY2023 (-0.5%), $7.73 million in FY2022 (+173.2%) and $2.83 million in FY2021 (-20.9%).
- The fiscal Q3 2026 figure stands as the highest quarterly Total Liabilities in data going back to fiscal Q4 2011.
- On a year-over-year basis, Total Liabilities has increased in each of the last four quarters, with growth averaging 31.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2022, with growth of 256.4%; the weakest was fiscal Q4 2021, with a decline of 20.9%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $13.57 million (Q2 2026), $11.46 million (Q1 2026) and $7.53 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Precision Optics Corporation | 35.40 Mn | 12.61 Mn | 2.22 Mn | 11.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.99 Mn |
| Mar 31, 2026 | 13.58 Mn |
| Dec 31, 2025 | 13.57 Mn |
| Sep 30, 2025 | 11.46 Mn |
| Jun 30, 2025 | 7.53 Mn |
| Mar 31, 2025 | 6.44 Mn |
| Dec 31, 2024 | 8.03 Mn |
| Sep 30, 2024 | 7.10 Mn |
| Jun 30, 2024 | 6.84 Mn |
| Mar 31, 2024 | 7.01 Mn |
| Dec 31, 2023 | 6.38 Mn |
| Sep 30, 2023 | 7.38 Mn |
| Jun 30, 2023 | 7.69 Mn |
| Mar 31, 2023 | 8.49 Mn |
| Dec 31, 2022 | 7.83 Mn |
| Sep 30, 2022 | 8.28 Mn |
| Jun 30, 2022 | 7.73 Mn |
| Mar 31, 2022 | 8.74 Mn |
| Dec 31, 2021 | 7.70 Mn |
| Sep 30, 2021 | 3.07 Mn |
Precision Optics Corporation Total Liabilities 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=total-liabilities&ticker=POCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=POCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();