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Luokung Technology Corp.: other nonoperating income or expense

Other nonoperating income or expense for Luokung Technology Corp. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Luokung Technology Corp. financial histories

What this measure means

Other income or expense outside operations under this concept. The composition is filer-specific and can include one-time items.

Exact concept: us-gaap:OtherNonoperatingIncomeExpense. 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 2008-10-01 to 2023-12-31. The SEC response was captured on 2026-09-21.

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

Other nonoperating income or expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2023-01-012023-12-3199,089USD2024-10-2220-F · 0001213900-24-089642
2022-01-012022-12-3110,037,660USD2024-10-2220-F · 0001213900-24-089642
2021-01-012021-12-31214,459USD2024-10-2220-F · 0001213900-24-089642
2020-01-012020-12-311,740,922USD2023-05-1620-F · 0001213900-23-040049
2019-01-012019-12-31294,857USD2022-05-1720-F · 0001213900-22-027436
2018-01-012018-12-31250,510USD2021-05-1420-F · 0001213900-21-026236
2017-01-012017-12-31-262,980USD2020-06-2920-F · 0001213900-20-016146
2016-10-012017-09-301,240,000USD2018-02-0920-F · 0001213900-18-001486
2016-01-012016-12-31-34,572USD2019-04-2420-F · 0001213900-19-007032
2015-10-012016-09-301,342,000USD2018-02-0920-F · 0001213900-18-001486
2014-10-012015-09-301,593,000USD2018-02-0920-F · 0001213900-18-001486
2013-10-012014-09-30509,000USD2017-01-1820-F · 0001213900-17-000455
2012-10-012013-09-30-1,176,000USD2016-01-2020-F · 0001144204-16-076207
2011-10-012012-09-3060,000USD2015-01-1520-F · 0001144204-15-002443
2010-10-012011-09-30120,000USD2014-01-1720-F · 0001144204-14-002678
2009-10-012010-09-3020,000USD2013-01-1820-F · 0001144204-13-002959
2008-10-012009-09-30-55,000USD2012-01-0920-F/A · 0001144204-12-001331

Related financial histories

Inspect the source

Entity
Luokung Technology Corp. / CIK 0001487839
Captured
2026-09-21T17:20:13.545Z
SEC response SHA-256
a1c2b3af1783d8d4d43db5a04d94eb454dfd6c9c6f7f7127e09d34dfdf109c17

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/0001487839.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"])))