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Climb Global Solutions, Inc.: basic weighted-average shares

Basic weighted-average shares for Climb Global Solutions, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Climb Global Solutions, Inc. financial histories

What this measure means

Time-weighted shares used for basic earnings per share. This denominator differs from shares outstanding at a single reporting date.

Exact concept: us-gaap:WeightedAverageNumberOfSharesOutstandingBasic. 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Basic weighted-average shares in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-314,524,000shares2026-02-2710-K · 0001437749-26-006072
2024-01-012024-12-314,465,000shares2026-02-2710-K · 0001437749-26-006072
2023-01-012023-12-314,401,000shares2026-02-2710-K · 0001437749-26-006072
2022-01-012022-12-314,331,000shares2024-03-0510-K · 0001558370-24-002476
2021-01-012021-12-314,272,000shares2023-03-1610-K · 0001558370-23-004053
2020-01-012020-12-314,288,000shares2022-03-0910-K · 0001558370-22-003146
2019-01-012019-12-314,421,000shares2021-03-1610-K · 0001558370-21-003044
2018-01-012018-12-314,358,000shares2020-03-0410-K · 0001558370-20-002020
2017-01-012017-12-314,299,000shares2019-03-1810-K · 0001558370-19-002250
2016-01-012016-12-314,503,000shares2019-03-1810-K · 0001558370-19-002250
2015-01-012015-12-314,634,000shares2018-03-1510-K · 0001558370-18-002127
2014-01-012014-12-314,661shares2017-02-2110-K · 0001558370-17-000723
2013-01-012013-12-314,454shares2016-02-2210-K · 0001104659-16-098838
2012-01-012012-12-314,476shares2015-02-2010-K · 0001104659-15-012475
2011-01-012011-12-314,412shares2014-02-2110-K · 0001104659-14-012049
2010-01-012010-12-314,386shares2013-02-1510-K · 0001104659-13-011183
2009-01-012009-12-314,399,000shares2012-02-2410-K · 0001104659-12-012554

Related financial histories

Inspect the source

Entity
Climb Global Solutions, Inc. / CIK 0000945983
Captured
2026-09-20T05:10:27.231Z
SEC response SHA-256
9d648d98f3e0be80433c86af3c096efa9ec2f9c838f8a29b4aca1be577c61232

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.

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

with urlopen("https://canlicapital.com/company-data/0000945983.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"])))