FLEXIBLE SOLUTIONS INTERNATIONAL INC.: diluted weighted-average shares

Name: FLEXIBLE SOLUTIONS INTERNATIONAL INC.: diluted weighted-average shares
Creator: FLEXIBLE SOLUTIONS INTERNATIONAL INC.

Diluted weighted-average shares for FLEXIBLE SOLUTIONS INTERNATIONAL INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All FLEXIBLE SOLUTIONS INTERNATIONAL 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 2011-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Diluted weighted-average shares in original reported units, latest-filed observation per period
Period start	Period end	Value	Unit	Filed	Source filing
2025-01-01	2025-12-31	13,594,610	shares	2026-04-15	10-K · 0001493152-26-016796
2024-01-01	2024-12-31	12,680,668	shares	2026-04-15	10-K · 0001493152-26-016796
2023-01-01	2023-12-31	12,489,467	shares	2025-03-31	10-K · 0001641172-25-001675
2022-01-01	2022-12-31	12,466,415	shares	2024-08-13	10-K/A · 0001493152-24-031588
2021-01-01	2021-12-31	12,505,522	shares	2023-03-31	10-K · 0001493152-23-010222
2020-01-01	2020-12-31	12,302,552	shares	2022-05-13	10-K/A · 0001493152-22-013262
2019-01-01	2019-12-31	12,085,798	shares	2021-03-31	10-K · 0001493152-21-007436
2018-01-01	2018-12-31	11,816,054	shares	2020-05-26	10-K/A · 0001493152-20-009845
2017-01-01	2017-12-31	11,725,482	shares	2019-05-17	10-K/A · 0001493152-19-007713
2016-01-01	2016-12-31	11,635,136	shares	2018-04-02	10-K · 0001493152-18-004462
2015-01-01	2015-12-31	13,307,021	shares	2017-03-31	10-K · 0001654954-17-002917
2014-01-01	2014-12-31	13,169,991	shares	2016-03-29	10-K · 0001354488-16-006741
2012-01-01	2012-12-31	13,169,991	shares	2013-04-01	10-K · 0001354488-13-001671
2011-01-01	2011-12-31	13,478,009	shares	2013-04-01	10-K · 0001354488-13-001671

Related financial histories

Inspect the source

Entity: FLEXIBLE SOLUTIONS INTERNATIONAL INC. / CIK 0001069394
Captured: 2026-09-20T05:19:21.229Z
SEC response SHA-256: a903e23dc69a4ed86f2ba2c2fc69dbb381223852dd5b8f6cdd22a02c0a3abd6c

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/0001069394.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"])))