MONGODB, INC.: diluted weighted-average shares

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 2020-02-01 to 2026-01-31. 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 MongoDB’s fiscal years ended January 31, 2024, 2025 and 2026, basic and diluted EPS use the same reported denominator because potential shares are anti-dilutive in the loss periods. These are January fiscal-year ends, not December calendar-year ends. The filing also excludes capped calls from diluted-share calculations as anti-dilutive; they are not additional denominator shares. Shares and per-share data are exempt from the thousands-of-dollars heading and use scale-zero tags. Read the source filing.

Selected filing history

Related financial histories

• MONGODB, INC.: total assets
• MONGODB, INC.: total liabilities
• MONGODB, INC.: stockholders equity
• MONGODB, INC.: cash and cash equivalents
• MONGODB, INC.: net income or loss
• MONGODB, INC.: operating cash flow
• MONGODB, INC.: capital expenditure payments
• MONGODB, INC.: contract revenue excluding tax
• MONGODB, INC.: financing cash flow
• MONGODB, INC.: investing cash flow
• MONGODB, INC.: retained earnings or deficit
• MONGODB, INC.: basic weighted-average shares
• MONGODB, INC.: basic earnings per share
• MONGODB, INC.: diluted earnings per share
• MONGODB, INC.: income tax expense or benefit
• MONGODB, INC.: net property, plant and equipment
• MONGODB, INC.: share-based compensation expense
• MONGODB, INC.: operating income or loss
• MONGODB, INC.: current assets
• MONGODB, INC.: interest expense
• MONGODB, INC.: current liabilities
• MONGODB, INC.: current accounts payable
• MONGODB, INC.: goodwill carrying amount
• MONGODB, INC.: net finite-lived intangible assets
• MONGODB, INC.: net current accounts receivable
• MONGODB, INC.: common-stock repurchase payments
• MONGODB, INC.: operating expenses
• MONGODB, INC.: gross profit
• MONGODB, INC.: research and development expense

Inspect the source

Entity

MONGODB, INC. / CIK 0001441816

Captured

2026-09-20T09:04:07.504Z

SEC response SHA-256

8947052d6912d9ac6b35470f5e331ef6fe1f4b4cf782fab20822c9cb66738997

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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• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001441816.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"])))