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Weave Communications, Inc.: diluted weighted-average shares

Diluted weighted-average shares for Weave Communications, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Weave Communications, Inc. financial histories

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 2019-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Reading these values

This selected numerical history matches Basic weighted-average shares for the same reporting intervals and original units. The accounting definitions remain distinct. Equal values do not establish that the concepts are interchangeable or explain why they match; filing dates and accessions may differ. Compare the definitions and source filings before combining them.

Context from the filing

For Weave in 2023–2025, potentially dilutive common shares are excluded as anti-dilutive, and the filing describes the treasury-stock method for potential dilution. Its exclusion table reports outstanding securities at period-end; those counts are not added to the weighted-average denominator. EPS uses net loss rather than comprehensive loss after currency and investment adjustments. Full scale-zero shares and EPS remain unchanged under the share/per-share exception to the thousands heading. Read the source filing.

Selected filing history

Diluted weighted-average shares in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3176,306,740shares2026-03-0510-K · 0001609151-26-000016
2024-01-012024-12-3171,656,892shares2026-03-0510-K · 0001609151-26-000016
2023-01-012023-12-3167,694,978shares2026-03-0510-K · 0001609151-26-000016
2022-01-012022-12-3165,083,198shares2025-03-1310-K · 0001609151-25-000022
2021-01-012021-12-3120,636,583shares2024-03-1310-K · 0001609151-24-000021
2020-01-012020-12-3111,355,385shares2023-03-1610-K · 0001609151-23-000004
2019-01-012019-12-3110,324,621shares2022-03-2310-K · 0001609151-22-000008

Related financial histories

Inspect the source

Entity
Weave Communications, Inc. / CIK 0001609151
Captured
2026-09-20T09:26:29.360Z
SEC response SHA-256
a6e6b73ff6d4b86f303609b7ea73c6eed05fcdda4afacb732192b932434d4eb0

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/0001609151.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"])))