Skip to content

FEDERAL SIGNAL CORPORATION: current liabilities

Current liabilities for FEDERAL SIGNAL CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All FEDERAL SIGNAL CORPORATION financial histories

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 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Current liabilities in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-31282,400,000USD2026-02-2510-K · 0001628280-26-011576
At date2024-12-31241,800,000USD2026-02-2510-K · 0001628280-26-011576
At date2023-12-31195,800,000USD2025-02-2610-K · 0000277509-25-000012
At date2022-12-31180,500,000USD2024-02-2710-K · 0000277509-24-000005
At date2021-12-31170,400,000USD2023-03-0110-K · 0000277509-23-000004
At date2020-12-31148,400,000USD2022-03-0110-K · 0000277509-22-000006
At date2019-12-31160,200,000USD2021-02-2510-K · 0000277509-21-000005
At date2018-12-31158,800,000USD2020-02-2710-K · 0000277509-20-000006
At date2017-12-31117,100,000USD2019-02-2810-K · 0000277509-19-000008
At date2016-12-3184,900,000USD2018-02-2810-K · 0000277509-18-000006
At date2015-12-31117,200,000USD2017-02-2810-K · 0000277509-17-000008
At date2014-12-31139,100,000USD2016-02-2910-K · 0000277509-16-000096
At date2013-12-31132,600,000USD2015-03-0210-K · 0000277509-15-000008
At date2012-12-31149,600,000USD2014-03-0510-K · 0000277509-14-000007
At date2011-12-31152,000,000USD2013-03-1510-K · 0001193125-13-109337
At date2010-12-31214,600,000USD2012-03-1410-K · 0001193125-12-115045

Related financial histories

Inspect the source

Entity
FEDERAL SIGNAL CORPORATION / CIK 0000277509
Captured
2026-09-19T14:55:37.820Z
SEC response SHA-256
a4adc194f07327350d1e9735157ec91ff5dbdf57ec30f2025b58587f8b0ff75d

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/0000277509.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"])))