DMC GLOBAL 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

DMC GLOBAL INC. / CIK 0000034067

Captured

2026-09-19T14:46:38.715Z

SEC response SHA-256

efa8d985a2151f87c8017c28658895cdb221623037e985152c00bbaa28d8ef5f

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
• Connect the MCP server to your coding assistant
• 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/0000034067.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"])))