TERAWULF INC.: current liabilities

What this measure means

Obligations classified as current under the operating-cycle or one-year boundary. The balance includes more than short-term borrowing.

Exact concept: us-gaap:LiabilitiesCurrent. 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 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

TERAWULF INC. / CIK 0001083301

Captured

2026-09-20T05:20:49.287Z

SEC response SHA-256

e4c33383250ec8eb24ce40dfd103edd8d57afa0ee40b7f0b5155ab9db90bcbc9

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/0001083301.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"])))