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Abeona Therapeutics Inc.: investing cash flow

Abeona Therapeutics investing cash flow: $105.0 million for the year ending 2025-12-31, up 367.7% on the year. 14 values since 2010. In original units.

All Abeona Therapeutics Inc. financial histories

At a glance

Abeona Therapeutics reported investing cash flow of $105.0 million for the year ending 2025-12-31, up 367.7% from -$39.2 million a year earlier. Across the last five reported years it ranged from -$39.2 million (2024-12-31) to $105.0 million (2025-12-31). That was 1804.6% of revenue ($5.82 million) for the same year.

Computed from the values in the table below, in USD; each links to the filing it came from.

What this measure means

Net cash from investing activities, including asset purchases, disposals and investment transactions. This differs from capital expenditure payments alone.

Exact concept: us-gaap:NetCashProvidedByUsedInInvestingActivities. 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 2010-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Investing cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31105,028,000USD2026-03-1710-K · 0001493152-26-010413 SEC
2024-01-012024-12-31-39,240,000USD2026-03-1710-K · 0001493152-26-010413 SEC
2023-01-012023-12-31208,000USD2025-03-2010-K · 0001493152-25-010978 SEC
2022-01-012022-12-31-23,964,000USD2024-03-1810-K · 0001493152-24-010190 SEC
2021-01-012021-12-3166,062,000USD2023-03-2910-K · 0001493152-23-009381 SEC
2020-01-012020-12-31-83,714,000USD2022-03-3110-K · 0001493152-22-008259 SEC
2019-01-012019-12-3159,976,000USD2021-03-2410-K · 0001493152-21-006705 SEC
2018-01-012018-12-31-85,086,000USD2020-03-1610-K · 0001493152-20-004015 SEC
2017-01-012017-12-31-860,000USD2020-03-1610-K · 0001493152-20-004015 SEC
2016-01-012016-12-31-519,000USD2019-03-1810-K · 0001144204-19-014623 SEC
2013-01-012013-12-31-2,000USD2014-03-2610-K · 0000318306-14-000006 SEC
2012-01-012012-12-31-13,000USD2014-03-2610-K · 0000318306-14-000006 SEC
2011-01-012011-12-31-40,000USD2013-03-2010-K · 0000318306-13-000004 SEC
2010-01-012010-12-31-7,000USD2012-03-2310-K · 0000318306-12-000020 SEC

Related ABEONA THERAPEUTICS INC. histories

All 54 Abeona Therapeutics histories

Inspect the source

Entity
ABEONA THERAPEUTICS INC. / CIK 0000318306
Captured
SEC response SHA-256
636768f46653d2a6ef88c7a2f3600aa36414b265029032bf07e61c32ce5542a2

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.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

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

with urlopen("https://canlicapital.com/company-data/0000318306.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"])))