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AgEagle Aerial Systems Inc.: stockholders equity

AgEagle Aerial Systems stockholders equity: $35.7 million at 2025-12-31, up 722.4% on the year. 16 values since 2010 from SEC filings. In original units.

All AgEagle Aerial Systems Inc. financial histories

At a glance

AgEagle Aerial Systems reported stockholders equity of $35.7 million at 2025-12-31, up 722.4% from -$5.74 million a year earlier. Across the last five reported years it ranged from -$5.74 million (2024-12-31) to $76.6 million (2021-12-31). That was 84.6% of total assets ($42.2 million) at the same date.

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

What this measure means

The reported residual interest after liabilities. It is an accounting amount, not market capitalization.

Exact concept: us-gaap:StockholdersEquity. 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 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Stockholders equity in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
-2025-12-3135,736,706USD2026-03-3110-K · 0001437749-26-010682 SEC
-2024-12-31-5,741,959USD2026-03-3110-K · 0001437749-26-010682 SEC
-2023-12-3110,697,556USD2026-03-3110-K · 0001437749-26-010682 SEC
-2022-12-3143,224,475USD2025-03-3110-K · 0001641172-25-001563 SEC
-2021-12-3176,576,913USD2024-11-2710-K/A · 0001493152-24-047969 SEC
-2020-12-3126,354,729USD2023-04-0410-K · 0001654954-23-004388 SEC
-2019-12-314,273,634USD2022-04-1210-K · 0001575705-22-000260 SEC
-2018-12-316,507,739USD2021-03-3110-K · 0001575705-21-000158 SEC
-2017-12-31-1,656,156USD2020-04-1310-K · 0001575705-20-000043 SEC
-2016-12-31-896,612USD2019-03-2810-K · 0001575705-19-000030 SEC
-2015-12-31-2,533,573USD2018-03-2310-K · 0001580695-18-000161 SEC
-2014-12-3146,000,987USD2017-01-2410-K/A · 0001144204-17-003633 SEC
-2013-12-3128,910,601USD2015-03-3110-K · 0001144204-15-020110 SEC
-2012-12-3121,613,531USD2014-03-2810-K · 0001144204-14-018850 SEC
-2011-12-3120,900,400USD2013-09-1310-K/A · 0001144204-13-050615 SEC
-2010-12-3119,377,968USD2012-04-1610-K · 0001144204-12-021708 SEC

Related AgEagle Aerial Systems Inc. histories

All 63 AgEagle Aerial Systems histories

Inspect the source

Entity
AgEagle Aerial Systems Inc. / CIK 0000008504
Captured
SEC response SHA-256
a6d287971df6a73e5f090a4abc134ecba3bd943b3de75fab09184c68be2e7066

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/0000008504.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"])))