Precision Optics Corporation (POCI) Accounts Payables (2011 - 2026)
Precision Optics Corporation (POCI) posted Accounts Payables of $3.58 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 23.2% from $2.91 million a year earlier but down 42.6% from the prior quarter.
Precision Optics Corporation (POCI) Accounts Payables (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Precision Optics Corporation has reported Accounts Payables for 61 quarters.
- Annual Accounts Payables shows a five-year compound annual growth rate of 24.3% (FY2021 to FY2026).
- In prior fiscal years, Precision Optics Corporation's Accounts Payables was $2.91 million in FY2025 (+108.2%), $1.4 million in FY2024 (-42.6%), $2.43 million in FY2023 (+8.6%) and $2.24 million in FY2022 (+85.8%).
- Quarterly Accounts Payables has run from a low of $1.25 million in fiscal Q2 2022 to a high of $6.24 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Accounts Payables has increased in each of the last eight quarters, with growth averaging 83.7% over the last eight quarters.
- The strongest year-over-year quarter for Accounts Payables in the past five years was fiscal Q3 2026, with growth of 233.0%; the weakest was fiscal Q4 2024, with a decline of 42.6%.
- According to Business Quant data, Accounts Payables for the three prior fiscal quarters was $6.24 million (Q3 2026), $6.04 million (Q2 2026) and $4.01 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 279.50 Mn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 6.11 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 210.50 Mn |
| 10 | Precision Optics Corporation | 36.81 Mn | 14.01 Mn | 2.22 Mn | 3.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.58 Mn |
| Mar 31, 2026 | 6.24 Mn |
| Dec 31, 2025 | 6.04 Mn |
| Sep 30, 2025 | 4.01 Mn |
| Jun 30, 2025 | 2.91 Mn |
| Mar 31, 2025 | 1.87 Mn |
| Dec 31, 2024 | 2.74 Mn |
| Sep 30, 2024 | 2.14 Mn |
| Jun 30, 2024 | 1.40 Mn |
| Mar 31, 2024 | 1.70 Mn |
| Dec 31, 2023 | 1.68 Mn |
| Sep 30, 2023 | 1.73 Mn |
| Jun 30, 2023 | 2.43 Mn |
| Mar 31, 2023 | 2.65 Mn |
| Dec 31, 2022 | 2.24 Mn |
| Sep 30, 2022 | 2.31 Mn |
| Jun 30, 2022 | 2.24 Mn |
| Mar 31, 2022 | 2.54 Mn |
| Dec 31, 2021 | 1.25 Mn |
| Sep 30, 2021 | 1.29 Mn |
Precision Optics Corporation Accounts Payables 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=accounts-payables&ticker=POCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=POCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();