Nextpower Inc.: total assets

What this measure means

Resources recognized on the balance sheet. Book assets are not the market value of the business.

Exact concept: us-gaap:Assets. 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 2022-03-31 to 2026-03-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

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

Inspect the source

Entity

Nextpower Inc. / CIK 0001852131

Captured

2026-09-21T17:38:28.963Z

SEC response SHA-256

364552ed307631dc39976ef65c8dc86001b24ddbff9598e841e7c25ef409023e

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/0001852131.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"])))