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Genasys Inc.: current liabilities

Genasys current liabilities: $54.4 million at 2025-09-30, up 286.5% on the year. 16 values since 2010, each linked to its SEC filing. In original units.

All Genasys Inc. financial histories

At a glance

Genasys reported current liabilities of $54.4 million at 2025-09-30, up 286.5% from $14.1 million a year earlier. From 2010 to 2025 it grew at a compound 22.6% a year, from $2.55 million to $54.4 million. Across the last five reported years it ranged from $11.3 million (2023-09-30) to $54.4 million (2025-09-30). That was 85.2% of total assets ($63.9 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

Obligations classified as current under the operating-cycle or one-year boundary. The balance includes more than short-term borrowing.

Exact concept: us-gaap:LiabilitiesCurrent. 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 2010-09-30 to 2025-09-30. The SEC response was captured on 2026-09-20.

Selected filing history

Current liabilities in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
-2025-09-3054,436,000USD2025-12-1510-K · 0001193125-25-319294 SEC
-2024-09-3014,085,000USD2025-12-1510-K · 0001193125-25-319294 SEC
-2023-09-3011,259,000USD2024-12-1310-K · 0000950170-24-136163 SEC
-2022-09-3015,365,000USD2023-12-0710-K · 0001437749-23-033895 SEC
-2021-09-3017,466,000USD2022-12-1610-K · 0001437749-22-029275 SEC
-2020-09-3010,321,000USD2021-11-2310-K · 0001437749-21-027262 SEC
-2019-09-309,274,000USD2020-12-1010-K · 0001437749-20-025049 SEC
-2018-09-306,579,802USD2019-12-1010-K · 0001437749-19-024099 SEC
-2017-09-303,673,761USD2018-12-2110-K · 0001437749-18-022542 SEC
-2016-09-302,077,610USD2017-12-1310-K · 0001437749-17-020614 SEC
-2015-09-301,574,497USD2016-12-0710-K · 0001437749-16-043040 SEC
-2014-09-304,918,479USD2015-12-0310-K · 0001437749-15-021734 SEC
-2013-09-302,651,377USD2014-11-2010-K · 0001437749-14-021173 SEC
-2012-09-301,619,461USD2013-11-2110-K · 0001437749-13-015128 SEC
-2011-09-303,948,676USD2012-12-0410-K · 0001193125-12-490634 SEC
-2010-09-302,550,579USD2011-12-0510-K · 0001193125-11-330669 SEC

Related GENASYS INC. histories

All 62 Genasys histories

Inspect the source

Entity
GENASYS INC. / CIK 0000924383
Captured
SEC response SHA-256
7b0c8a0afd91f0c8b13af45f860e5daefb34853a46e9a8085efdad3f26c88aad

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/0000924383.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"])))