ENTERPRISE FINANCIAL SERVICES CORP: diluted weighted-average shares

Name: ENTERPRISE FINANCIAL SERVICES CORP: diluted weighted-average shares
Creator: ENTERPRISE FINANCIAL SERVICES CORP

Diluted weighted-average shares for ENTERPRISE FINANCIAL SERVICES CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All ENTERPRISE FINANCIAL SERVICES CORP 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 2010-01-01 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	37,239,000	shares	2026-02-27	10-K · 0001025835-26-000058
2024-01-01	2024-12-31	37,567,000	shares	2026-02-27	10-K · 0001025835-26-000058
2023-01-01	2023-12-31	37,507,000	shares	2026-02-27	10-K · 0001025835-26-000058
2022-01-01	2022-12-31	37,500,000	shares	2025-02-28	10-K · 0001025835-25-000039
2021-01-01	2021-12-31	34,496,000	shares	2024-02-26	10-K · 0001025835-24-000017
2020-01-01	2020-12-31	26,989,000	shares	2023-02-24	10-K · 0001025835-23-000022
2019-01-01	2019-12-31	26,159,000	shares	2022-02-25	10-K · 0001025835-22-000011
2018-01-01	2018-12-31	23,289,000	shares	2021-02-19	10-K · 0001025835-21-000018
2017-01-01	2017-12-31	23,249,000	shares	2020-02-21	10-K · 0001025835-20-000014
2016-01-01	2016-12-31	20,290,000	shares	2019-02-22	10-K · 0001025835-19-000033
2015-01-01	2015-12-31	20,317,000	shares	2018-02-23	10-K · 0001025835-18-000016
2014-01-01	2014-12-31	20,110,000	shares	2017-02-24	10-K · 0001025835-17-000043
2013-01-01	2013-12-31	19,751,000	shares	2016-02-26	10-K · 0001025835-16-000102
2012-01-01	2012-12-31	19,338,000	shares	2015-02-27	10-K · 0001025835-15-000012
2011-01-01	2011-12-31	18,145,000	shares	2014-03-17	10-K · 0001025835-14-000012
2010-01-01	2010-12-31	14,747,000	shares	2013-03-15	10-K · 0001025835-13-000014

Related financial histories

Inspect the source

Entity: ENTERPRISE FINANCIAL SERVICES CORP / CIK 0001025835
Captured: 2026-09-20T05:14:09.803Z
SEC response SHA-256: a802661c911bcdaf4d75dd8af331b3bbb841a7d988d403bb42457f0e0edc1ebc

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/0001025835.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"])))