Momentus Inc.: stockholders equity

What this measure means

The reported residual interest after liabilities. It is an accounting amount, not market capitalization.

Exact concept: us-gaap:StockholdersEquity. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2019-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

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

Inspect the source

Entity

Momentus Inc. / CIK 0001781162

Captured

2026-09-21T17:30:55.543Z

SEC response SHA-256

ead47cc039e948d5940337ffafd1415ca5c64a6ca0dd6b98d881ba484f3141d1

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/0001781162.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"])))