Precision Optics Corporation (POCI) Accumulated Expenses (2009 - 2026)
Precision Optics Corporation's Accumulated Expenses came in at $65,000 for fiscal Q3 2019 (quarter ended Mar 31, 2019), down 13.9% from $75,500 a year earlier and down 12.5% from the prior quarter.
Powered by 
Analysis
Precision Optics Corporation (POCI) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2018 (ended Jun 30, 2018), Precision Optics Corporation's Accumulated Expenses was $98,000, up 38.0% from FY2017.
- Accumulated Expenses has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 7.0% (FY2013 to FY2018).
- Going back by fiscal year, Accumulated Expenses was $71,000 in FY2017 (+8.3%), $65,550 in FY2016 (+7.9%), $60,735 in FY2015 (+0.8%) and $60,250 in FY2014 (-13.9%).
- The fiscal Q3 2019 figure represents the lowest quarterly Accumulated Expenses since fiscal Q3 2017.
- Year-over-year, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 18.3%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q1 2016 (growth of 440.4%), and the weakest in fiscal Q1 2015 (a decline of 67.6%).
- Business Quant data shows POCI's Accumulated Expenses at $74,250 (Q2 2019), $94,970 (Q1 2019) and $98,000 (Q4 2018) in the three fiscal quarters before Q3 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 10 | Precision Optics Corporation | 44.62 Mn | 21.82 Mn | 2.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.84 Mn |
| Mar 31, 2026 | 836,582.00 |
| Dec 31, 2025 | 1.13 Mn |
| Sep 30, 2025 | 899,566.00 |
| Jun 30, 2025 | 764,004.00 |
| Mar 31, 2025 | 800,371.00 |
| Dec 31, 2024 | 791,037.00 |
| Sep 30, 2024 | 1.12 Mn |
| Jun 30, 2024 | 840,662.00 |
| Mar 31, 2024 | 833,860.00 |
| Dec 31, 2023 | 747,793.00 |
| Sep 30, 2023 | 1.24 Mn |
| Jun 30, 2023 | 927,521.00 |
| Mar 31, 2023 | 1.31 Mn |
| Dec 31, 2022 | 971,864.00 |
| Sep 30, 2022 | 1.12 Mn |
| Jun 30, 2022 | 716,702.00 |
| Mar 31, 2022 | 862,496.00 |
| Dec 31, 2021 | 847,869.00 |
| Sep 30, 2021 | 883,770.00 |
API Access
Precision Optics Corporation Accumulated Expenses 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=accumulated-expenses&ticker=POCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=POCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();