Skip to content

Akari Therapeutics, Plc: total assets

Total assets for Akari Therapeutics, Plc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Akari Therapeutics, Plc financial histories

What this measure means

Resources recognized on the balance sheet. Book assets are not the market value of the business.

Exact concept: us-gaap:Assets. 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 2011-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Total assets in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-3147,892,000USD2026-03-3010-K · 0001493152-26-013664
At date2024-12-3150,562,000USD2026-03-3010-K · 0001493152-26-013664
At date2023-12-314,355,000USD2025-04-1510-K · 0000950170-25-054278
At date2022-12-3113,832,000USD2024-03-2910-K · 0000950170-24-038661
At date2021-12-3111,648,028USD2023-05-0120-F · 0001410578-23-000848
At date2020-12-3114,604,807USD2022-05-1620-F · 0001410578-22-001546
At date2020-09-3013,693,716USD2021-04-2120-F · 0001104659-21-052672
At date2020-06-3014,452,180USD2021-04-2120-F · 0001104659-21-052672
At date2020-03-319,680,286USD2021-04-2120-F · 0001104659-21-052672
At date2019-12-316,479,842USD2021-04-2120-F · 0001104659-21-052672
At date2019-09-3010,267,716USD2021-04-2120-F · 0001104659-21-052672
At date2019-06-304,612,296USD2021-04-2120-F · 0001104659-21-052672
At date2019-03-318,229,960USD2021-04-2120-F · 0001104659-21-052672
At date2018-12-318,029,554USD2020-03-3120-F · 0001104659-20-040722
At date2017-12-3129,050,343USD2019-04-2320-F · 0001144204-19-020749
At date2016-12-3145,873,678USD2018-07-1820-F · 0001144204-18-038891
At date2015-12-3169,893,562USD2017-03-3120-F · 0001144204-17-018167
At date2014-12-313,394,666USD2016-03-2310-K · 0001144204-16-089697
At date2013-12-317,832,000USD2015-02-1110-K · 0001144204-15-007770
At date2012-12-311,120,000USD2014-03-2420-F · 0001144204-14-017308
At date2011-12-3127,000USD2013-04-1920-F/A · 0001144204-13-022773

Related financial histories

Inspect the source

Entity
Akari Therapeutics, Plc / CIK 0001541157
Captured
2026-09-20T09:17:38.520Z
SEC response SHA-256
28aa6200c3956b4742e82320b97671468c61e673338f20b4055d5cab77ff39a0

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/0001541157.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"])))