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Windtree Therapeutics Inc /DE/: total assets

Windtree Therapeutics Inc /DE/ total assets: $27.9 million at 2024-12-31, down 14.0% on the year. 15 values since 2010, each linked to its SEC filing.

All Windtree Therapeutics Inc /DE/ financial histories

At a glance

Windtree Therapeutics Inc /DE/ reported total assets of $27.9 million at 2024-12-31, down 14.0% from $32.4 million a year earlier. From 2010 to 2024 it grew at a compound 4.8% a year, from $14.5 million to $27.9 million. Across the last five reported years it ranged from $27.9 million (2024-12-31) to $112.9 million (2020-12-31).

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

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 2010-12-31 to 2024-12-31. 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
-2024-12-3127,875,000USD2025-04-1510-K · 0001437749-25-012093 SEC
-2023-12-3132,406,000USD2025-04-1510-K · 0001437749-25-012093 SEC
-2022-12-3137,954,000USD2024-04-1610-K · 0001437749-24-012210 SEC
-2021-12-3174,789,000USD2023-03-3110-K · 0001437749-23-008864 SEC
-2020-12-31112,885,000USD2022-03-3110-K · 0001437749-22-007757 SEC
-2019-12-31118,975,000USD2021-03-2910-K · 0001437749-21-007493 SEC
-2018-12-31119,398,000USD2020-04-0310-K · 0001437749-20-006970 SEC
-2017-12-313,347,000USD2019-04-2310-K/A · 0001437749-19-007802 SEC
-2016-12-319,699,000USD2018-04-1710-K · 0001437749-18-007033 SEC
-2015-12-3144,377,000USD2017-03-3110-K · 0001437749-17-005788 SEC
-2014-12-3147,499,000USD2016-03-2910-K · 0001140361-16-059359 SEC
-2013-12-3189,317,000USD2015-03-1610-K · 0001140361-15-011957 SEC
-2012-12-3129,943,000USD2014-03-1710-K · 0001140361-14-013062 SEC
-2011-12-3113,324,000USD2013-03-1510-K · 0001140361-13-012728 SEC
-2010-12-3114,537,000USD2012-03-3010-K · 0001140361-12-018342 SEC

Related WINDTREE THERAPEUTICS INC /DE/ histories

All 55 Windtree Therapeutics Inc /DE/ histories

Inspect the source

Entity
WINDTREE THERAPEUTICS INC /DE/ / CIK 0000946486
Captured
SEC response SHA-256
1484517d765c2374ec787c455483b8e64ef036de472f104b5b9c5b474ad1c77e

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/0000946486.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"])))