Livento Group, Inc.: net finite-lived intangible assets
Net finite-lived intangible assets for Livento Group, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Livento Group, 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 2022-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-12-31 | 32,885,103.29 | USD | 2026-05-01 | 10-K · 0001493152-26-020899 |
| At date | 2023-12-31 | 32,657,258 | USD | 2025-04-17 | 10-K · 0001641172-25-005145 |
| At date | 2022-12-31 | 10,086,617 | USD | 2023-08-25 | 10-K/A · 0001493152-23-030188 |
Related financial histories
- Livento Group, Inc.: total assets
- Livento Group, Inc.: total liabilities
- Livento Group, Inc.: stockholders equity
- Livento Group, Inc.: cash and cash equivalents
- Livento Group, Inc.: net income or loss
- Livento Group, Inc.: operating cash flow
- Livento Group, Inc.: capital expenditure payments
- Livento Group, Inc.: contract revenue excluding tax
- Livento Group, Inc.: financing cash flow
- Livento Group, Inc.: investing cash flow
- Livento Group, Inc.: retained earnings or deficit
- Livento Group, Inc.: net property, plant and equipment
- Livento Group, Inc.: operating income or loss
- Livento Group, Inc.: current assets
- Livento Group, Inc.: current liabilities
- Livento Group, Inc.: current accounts payable
- Livento Group, Inc.: net current accounts receivable
- Livento Group, Inc.: operating expenses
- Livento Group, Inc.: net inventory
- Livento Group, Inc.: gross profit
- Livento Group, Inc.: cost of revenue
- Livento Group, Inc.: selling, general and administrative expense
- Livento Group, Inc.: research and development expense
Inspect the source
- Entity
- Livento Group, Inc. / CIK 0001593549
- Captured
- 2026-09-20T09:24:26.433Z
- SEC response SHA-256
5fc0541d3c667e8542c70da83b7f948b0510c21c26e4337ace0bb00d828406b9
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/0001593549.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"])))