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G III APPAREL GROUP LTD /DE/: current liabilities

Current liabilities for G III APPAREL GROUP LTD /DE/. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All G III APPAREL GROUP LTD /DE/ 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 2011-01-31 to 2026-01-31. 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 date2026-01-31545,665,000USD2026-03-2410-K · 0001104659-26-033891
At date2025-01-31510,490,000USD2026-03-2410-K · 0001104659-26-033891
At date2024-01-31493,628,000USD2025-03-2410-K · 0001558370-25-003540
At date2023-01-31579,069,000USD2024-03-2510-K · 0001558370-24-003856
At date2022-01-31510,805,000USD2023-03-2710-K · 0001558370-23-004739
At date2021-01-31402,002,000USD2022-03-2810-K · 0001558370-22-004512
At date2020-01-31613,960,000USD2021-03-2610-K · 0001558370-21-003547
At date2019-01-31580,788,000USD2020-03-3010-K · 0001558370-20-003389
At date2018-01-31347,167,000USD2019-03-2810-K · 0001558370-19-002565
At date2017-01-31315,419,000USD2018-04-0210-K · 0001144204-18-018565
At date2016-01-31244,804,000USD2017-04-0310-K · 0001571049-17-003132
At date2015-01-31238,206,000USD2016-03-2910-K · 0001571049-16-013440
At date2014-01-31241,226,000USD2015-03-3010-K · 0001571049-15-002473
At date2013-01-31233,216,000USD2014-03-3110-K · 0001571049-14-000998
At date2012-01-31176,519,000USD2013-04-1210-K · 0001193125-13-153157
At date2011-01-31137,312,000USD2012-04-1110-K · 0001193125-12-158857

Related financial histories

Inspect the source

Entity
G III APPAREL GROUP LTD /DE/ / CIK 0000821002
Captured
2026-09-19T15:07:22.868Z
SEC response SHA-256
aa7ad148dc212090beeae911dee3ccce8116c9524c8046852337665540c070f5

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/0000821002.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"])))