QNB Corp.: diluted weighted-average shares
QNB diluted weighted-average shares: 3.73 million shares for the year ending 2025-12-31, up 1.5% on the year. 15 values since 2011. In original units.
All QNB Corp. financial histories
At a glance
QNB reported diluted weighted-average shares of 3.73 million shares for the year ending 2025-12-31, up 1.5% from 3.67 million shares a year earlier. From 2011 to 2025 it grew at a compound 1.2% a year, from 3.16 million shares to 3.73 million shares. Across the last five reported years it ranged from 3.55 million shares (2021-12-31) to 3.73 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 2011-01-01 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 | 3,729,246 | shares | 2026-03-16 | 10-K · 0001193125-26-107482 SEC |
| 2024-01-01 | 2024-12-31 | 3,673,697 | shares | 2026-03-16 | 10-K · 0001193125-26-107482 SEC |
| 2023-01-01 | 2023-12-31 | 3,610,713 | shares | 2026-03-16 | 10-K · 0001193125-26-107482 SEC |
| 2022-01-01 | 2022-12-31 | 3,564,481 | shares | 2025-03-18 | 10-K · 0000950170-25-040857 SEC |
| 2021-01-01 | 2021-12-31 | 3,554,138 | shares | 2024-03-15 | 10-K · 0000950170-24-031946 SEC |
| 2020-01-01 | 2020-12-31 | 3,537,360 | shares | 2023-03-14 | 10-K · 0001564590-23-003539 SEC |
| 2019-01-01 | 2019-12-31 | 3,504,150 | shares | 2022-03-14 | 10-K · 0001564590-22-010056 SEC |
| 2018-01-01 | 2018-12-31 | 3,482,509 | shares | 2021-03-11 | 10-K · 0001564590-21-012482 SEC |
| 2017-01-01 | 2017-12-31 | 3,445,811 | shares | 2020-03-13 | 10-K · 0001564590-20-010837 SEC |
| 2016-01-01 | 2016-12-31 | 3,395,839 | shares | 2019-03-14 | 10-K · 0001564590-19-007714 SEC |
| 2015-01-01 | 2015-12-31 | 3,350,539 | shares | 2018-03-16 | 10-K · 0001564590-18-006028 SEC |
| 2014-01-01 | 2014-12-31 | 3,302,574 | shares | 2017-03-15 | 10-K · 0001564590-17-004465 SEC |
| 2013-01-01 | 2013-12-31 | 3,260,075 | shares | 2016-03-14 | 10-K · 0001437749-16-027618 SEC |
| 2012-01-01 | 2012-12-31 | 3,209,857 | shares | 2014-03-31 | 10-K · 0001437749-14-005498 SEC |
| 2011-01-01 | 2011-12-31 | 3,163,748 | shares | 2013-03-29 | 10-K · 0001144204-13-018741 SEC |
Related QNB Corp. histories
Inspect the source
- Entity
- QNB Corp. / CIK 0000750558
- Captured
- SEC response SHA-256
fa094adeeec665d3d18e70f976bbfdc3b3d0cb55eb63289a05e9dd0f7f80b81e
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
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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.
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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/0000750558.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"])))