VERA BRADLEY, INC.: diluted weighted-average shares
Diluted weighted-average shares for VERA BRADLEY, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All VERA BRADLEY, 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 2009-02-01 to 2026-01-31. The SEC response was captured on 2026-09-20.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-02-02 | 2026-01-31 | 27,902,000 | shares | 2026-03-27 | 10-K · 0001628280-26-021640 |
| 2024-02-04 | 2025-02-01 | 28,935,000 | shares | 2026-03-27 | 10-K · 0001628280-26-021640 |
| 2023-01-29 | 2024-02-03 | 31,314,000 | shares | 2026-03-27 | 10-K · 0001628280-26-021640 |
| 2022-01-30 | 2023-01-28 | 31,503,000 | shares | 2025-03-28 | 10-K · 0001495320-25-000019 |
| 2021-01-31 | 2022-01-29 | 34,437,000 | shares | 2024-03-29 | 10-K · 0001495320-24-000026 |
| 2020-02-02 | 2021-01-30 | 33,914,000 | shares | 2023-03-28 | 10-K · 0001495320-23-000014 |
| 2019-02-03 | 2020-02-01 | 34,288,000 | shares | 2022-03-29 | 10-K · 0001495320-22-000007 |
| 2018-02-04 | 2019-02-02 | 35,467,000 | shares | 2021-03-30 | 10-K · 0001495320-21-000016 |
| 2017-01-29 | 2018-02-03 | 36,026,000 | shares | 2020-03-31 | 10-K · 0001495320-20-000010 |
| 2016-01-31 | 2017-01-28 | 36,970,000 | shares | 2019-04-02 | 10-K · 0001495320-19-000010 |
| 2015-02-01 | 2016-01-30 | 38,861,000 | shares | 2018-04-03 | 10-K · 0001495320-18-000007 |
| 2014-02-02 | 2015-01-31 | 40,632,000 | shares | 2017-03-28 | 10-K · 0001495320-17-000009 |
| 2013-02-03 | 2014-02-01 | 40,648,000 | shares | 2016-03-29 | 10-K · 0001495320-16-000057 |
| 2012-01-29 | 2013-02-02 | 40,571,000 | shares | 2015-03-31 | 10-K · 0001495320-15-000008 |
| 2011-01-30 | 2012-01-28 | 40,542,000 | shares | 2014-04-02 | 10-K · 0001495320-14-000011 |
| 2010-01-31 | 2011-01-29 | 36,851,000 | shares | 2013-04-03 | 10-K · 0001193125-13-138930 |
| 2009-02-01 | 2010-01-30 | 35,440,547 | shares | 2012-03-27 | 10-K · 0001193125-12-134680 |
Related financial histories
- VERA BRADLEY, INC.: total assets
- VERA BRADLEY, INC.: total liabilities
- VERA BRADLEY, INC.: stockholders equity
- VERA BRADLEY, INC.: cash and cash equivalents
- VERA BRADLEY, INC.: net income or loss
- VERA BRADLEY, INC.: operating cash flow
- VERA BRADLEY, INC.: capital expenditure payments
- VERA BRADLEY, INC.: revenue
- VERA BRADLEY, INC.: contract revenue excluding tax
- VERA BRADLEY, INC.: financing cash flow
- VERA BRADLEY, INC.: investing cash flow
- VERA BRADLEY, INC.: retained earnings or deficit
- VERA BRADLEY, INC.: basic weighted-average shares
- VERA BRADLEY, INC.: basic earnings per share
- VERA BRADLEY, INC.: diluted earnings per share
- VERA BRADLEY, INC.: income tax expense or benefit
- VERA BRADLEY, INC.: net property, plant and equipment
- VERA BRADLEY, INC.: share-based compensation expense
- VERA BRADLEY, INC.: operating income or loss
- VERA BRADLEY, INC.: current assets
- VERA BRADLEY, INC.: interest expense
- VERA BRADLEY, INC.: current liabilities
- VERA BRADLEY, INC.: current accounts payable
- VERA BRADLEY, INC.: goodwill carrying amount
- VERA BRADLEY, INC.: net finite-lived intangible assets
- VERA BRADLEY, INC.: net current accounts receivable
- VERA BRADLEY, INC.: common-stock repurchase payments
- VERA BRADLEY, INC.: net inventory
- VERA BRADLEY, INC.: gross profit
- VERA BRADLEY, INC.: selling, general and administrative expense
Inspect the source
- Entity
- VERA BRADLEY, INC. / CIK 0001495320
- Captured
- 2026-09-20T09:10:42.033Z
- SEC response SHA-256
66b5168f065d9c359be64f331dd7b7fd8ceb66e6e400a6f5a5d57f8019379533
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.
- Get an API key and run your first validation
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- Read the MCP server source and integration examples
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001495320.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"])))