3DX Industries, Inc.: net finite-lived intangible assets
Net finite-lived intangible assets for 3DX Industries, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All 3DX Industries, Inc. financial histories
What this measure means
Finite-lived intangible assets after amortization. This excludes goodwill and should not be combined with indefinite-lived intangible assets without checking scope.
Exact concept: us-gaap:FiniteLivedIntangibleAssetsNet. 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 2012-10-31 to 2014-10-31. The SEC response was captured on 2026-09-20.
This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2014-10-31 | 2,429 | USD | 2015-02-18 | 10-K · 0001554795-15-000063 |
| At date | 2013-10-31 | 864 | USD | 2015-02-18 | 10-K · 0001554795-15-000063 |
| At date | 2012-10-31 | 1,364 | USD | 2014-02-13 | 10-K · 0001554795-14-000100 |
Related financial histories
- 3DX Industries, Inc.: total assets
- 3DX Industries, Inc.: total liabilities
- 3DX Industries, Inc.: stockholders equity
- 3DX Industries, Inc.: cash and cash equivalents
- 3DX Industries, Inc.: net income or loss
- 3DX Industries, Inc.: operating cash flow
- 3DX Industries, Inc.: financing cash flow
- 3DX Industries, Inc.: investing cash flow
- 3DX Industries, Inc.: retained earnings or deficit
- 3DX Industries, Inc.: basic weighted-average shares
- 3DX Industries, Inc.: share-based compensation expense
- 3DX Industries, Inc.: operating income or loss
- 3DX Industries, Inc.: current assets
- 3DX Industries, Inc.: interest expense
- 3DX Industries, Inc.: current liabilities
- 3DX Industries, Inc.: current accounts payable
- 3DX Industries, Inc.: operating expenses
Inspect the source
- Entity
- 3DX Industries, Inc. / CIK 0001453122
- Captured
- 2026-09-20T09:05:43.422Z
- SEC response SHA-256
d82d554df98dd4683ffc96a680f27025d639839d91f1c76cc469359990138602
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
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001453122.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"])))