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Loan Artificial Intelligence Corp.: nonoperating income or expense

Nonoperating income or expense for Loan Artificial Intelligence Corp. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Loan Artificial Intelligence Corp. financial histories

What this measure means

Total nonoperating income or expense, which can include interest, investment results and other items. A positive value is not operating profit.

Exact concept: us-gaap:NonoperatingIncomeExpense. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2023-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Nonoperating income or expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-310USD2026-04-1510-K · 0001683168-26-002984
2024-01-012024-12-310USD2026-04-1510-K · 0001683168-26-002984
2023-01-012023-12-317,748USD2025-04-1510-K · 0001683168-25-002612

Related financial histories

Inspect the source

Entity
Loan Artificial Intelligence Corp. / CIK 0001594968
Captured
2026-09-20T09:24:33.772Z
SEC response SHA-256
887630747e983cd1b7b003c04b46746bc8482dbf38bb2e686c1a395d0cb09d1b

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001594968.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"])))