OMNIQ Corp.: diluted weighted-average shares
OMNIQ diluted weighted-average shares: 11.2 million shares for the year ending 2025-12-31, up 4.8% on the year. 9 values since 2014. In original units.
All OMNIQ Corp. financial histories
At a glance
OMNIQ reported diluted weighted-average shares of 11.2 million shares for the year ending 2025-12-31, up 4.8% from 10.7 million shares a year earlier. From 2014 to 2025 it fell at a compound 12.0% a year, from 45.5 million shares to 11.2 million shares. Across the last five reported years it ranged from 6.08 million shares (2021-12-31) to 11.2 million shares (2025-12-31).
Computed from the values in the table below, in shares; each links to the filing it came from.
What this measure means
Weighted-average shares used for diluted earnings per share. Potential shares are included under the applicable dilution rules, not simply added to outstanding shares.
Exact concept: us-gaap:WeightedAverageNumberOfDilutedSharesOutstanding. 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 2014-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 11,205,408 | shares | 2026-04-15 | 10-K · 0001493152-26-016891 SEC |
| 2024-01-01 | 2024-12-31 | 10,696,435 | shares | 2026-04-15 | 10-K · 0001493152-26-016891 SEC |
| 2023-01-01 | 2023-12-31 | 8,412,494 | shares | 2025-03-31 | 10-K · 0001641172-25-001813 SEC |
| 2022-01-01 | 2022-12-31 | 7,576,434 | shares | 2024-04-01 | 10-K · 0001493152-24-012457 SEC |
| 2021-01-01 | 2021-12-31 | 6,082,763 | shares | 2023-03-31 | 10-K · 0001493152-23-009866 SEC |
| 2020-01-01 | 2020-12-31 | 4,322,303 | shares | 2022-03-31 | 10-K · 0001493152-22-008493 SEC |
| 2016-01-01 | 2016-12-31 | 35,947,523 | shares | 2017-04-17 | 10-K · 0001493152-17-004028 SEC |
| 2015-01-01 | 2015-12-31 | 36,195,065 | shares | 2017-04-17 | 10-K · 0001493152-17-004028 SEC |
| 2014-01-01 | 2014-12-31 | 45,477,429 | shares | 2016-04-18 | 10-K · 0001493152-16-009032 SEC |
Related OMNIQ Corp. 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.
- Get an API key and run your first validation
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- Read the MCP server source and integration examples
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"])))