Skip to content

Precision Optics Corporation, Inc.: net income or loss

Precision Optics Corporation net income or loss: -$5.78 million for the year ending 2025-06-30, down 95.8% on the year. 15 values since 2011 from SEC filings.

All Precision Optics Corporation, Inc. financial histories

At a glance

Precision Optics Corporation reported net income or loss of -$5.78 million for the year ending 2025-06-30, down 95.8% from -$2.95 million a year earlier. Across the last five reported years it ranged from -$5.78 million (2025-06-30) to -$102.8 thousand (2021-06-30).

Computed from the values in the table below, in USD; each links to the filing it came from.

What this measure means

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

Exact concept: us-gaap:NetIncomeLoss. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2010-07-01 to 2025-06-30. The SEC response was captured on 2026-09-20.

Selected filing history

Net income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-07-012025-06-30-5,780,246USD2025-09-2910-K · 0001683168-25-007305 SEC
2023-07-012024-06-30-2,951,377USD2025-09-2910-K · 0001683168-25-007305 SEC
2022-07-012023-06-30-144,613USD2024-09-3010-K · 0001683168-24-006760 SEC
2021-07-012022-06-30-928,416USD2023-09-2810-K · 0001683168-23-006801 SEC
2020-07-012021-06-30-102,835USD2022-09-2710-K · 0001683168-22-006633 SEC
2019-07-012020-06-30-1,426,150USD2021-09-2810-K · 0001683168-21-004557 SEC
2018-07-012019-06-30-614,871USD2020-09-2410-K · 0001683168-20-003264 SEC
2017-07-012018-06-30-351,390USD2019-09-2610-K · 0001683168-19-003062 SEC
2016-07-012017-06-30-1,006,457USD2018-09-2710-K · 0001683168-18-002873 SEC
2015-07-012016-06-30-1,034,765USD2017-09-2810-K · 0001683168-17-002502 SEC
2014-07-012015-06-30-1,178,793USD2016-09-2810-K · 0001683168-16-000211 SEC
2013-07-012014-06-30-1,160,638USD2015-10-1310-K · 0001019687-15-003701 SEC
2012-07-012013-06-30-1,787,680USD2014-09-2910-K · 0001019687-14-003730 SEC
2011-07-012012-06-30960,972USD2013-09-3010-K · 0001019687-13-003747 SEC
2010-07-012011-06-30-1,052,613USD2012-10-2610-K/A · 0001019687-12-003778 SEC

Related PRECISION OPTICS CORPORATION, INC. histories

All 50 Precision Optics Corporation histories

Inspect the source

Entity
PRECISION OPTICS CORPORATION, INC. / CIK 0000867840
Captured
SEC response SHA-256
f1f521401eebe3d37da585e76a4e0ae92da7eef1868356dfb292f24bda340752

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000867840.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))