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OMNIQ Corp.: retained earnings or deficit

OMNIQ retained earnings or deficit: -$124.0 million at 2025-12-31, down 0.1% on the year. 16 values since 2010 from SEC filings, each linked to its filing.

All OMNIQ Corp. financial histories

At a glance

OMNIQ reported retained earnings or deficit of -$124.0 million at 2025-12-31, down 0.1% from -$123.9 million a year earlier. Across the last five reported years it ranged from -$124.0 million (2025-12-31) to -$70.6 million (2021-12-31).

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

What this measure means

Accumulated undistributed earnings or deficit at the reporting date. This balance is not cash available for distribution.

Exact concept: us-gaap:RetainedEarningsAccumulatedDeficit. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Retained earnings or deficit in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
-2025-12-31-124,050,000USD2026-04-1510-K · 0001493152-26-016891 SEC
-2024-12-31-123,899,000USD2026-04-1510-K · 0001493152-26-016891 SEC
-2023-12-31-113,923,000USD2025-03-3110-K · 0001641172-25-001813 SEC
-2022-12-31-84,460,000USD2024-04-0110-K · 0001493152-24-012457 SEC
-2021-12-31-70,571,000USD2023-03-3110-K · 0001493152-23-009866 SEC
-2020-12-31-56,726,000USD2022-03-3110-K · 0001493152-22-008493 SEC
-2019-12-31-45,063,000USD2021-03-3110-K · 0001493152-21-007489 SEC
-2018-12-31-39,753,000USD2020-03-3010-K · 0001493152-20-005303 SEC
-2017-12-31-35,554,994USD2019-06-0510-K · 0001493152-19-008751 SEC
-2016-12-31-32,935,199USD2018-05-0810-K · 0001493152-18-006368 SEC
-2015-12-31-18,457,236USD2017-04-1710-K · 0001493152-17-004028 SEC
-2014-12-31-16,742,156USD2016-04-1810-K · 0001493152-16-009032 SEC
-2013-12-31-17,043,805USD2015-04-0910-K · 0001493152-15-001313 SEC
-2012-12-31-15,922,521USD2014-04-0210-K · 0001393905-14-000168 SEC
-2011-12-31-15,731,157USD2013-04-1210-K · 0001393905-13-000159 SEC
-2010-12-31-15,429,711USD2012-04-1910-K/A · 0001393905-12-000173 SEC

Related OMNIQ Corp. histories

All 60 OMNIQ histories

Inspect the source

Entity
OMNIQ Corp. / CIK 0000278165
Captured
SEC response SHA-256
060750c971cecd506870f3cbbf3690f6d1dc77a2d0ec0f177474bc4e639694e7

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/0000278165.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"])))