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LAKELAND INDUSTRIES, INC.: net inventory

Net inventory for LAKELAND INDUSTRIES, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All LAKELAND INDUSTRIES, INC. financial histories

What this measure means

Inventory carrying amount after applicable valuation and LIFO reserves. It does not establish realizable selling proceeds or inventory turnover without other inputs.

Exact concept: us-gaap:InventoryNet. 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

Net inventory in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2026-01-3182,542,000USD2026-04-1610-K · 0001193125-26-159176
At date2025-01-3182,739,000USD2026-04-1610-K · 0001193125-26-159176
At date2024-01-3151,250,000USD2025-04-1710-K · 0001654954-25-004352
At date2023-01-3158,176,000USD2024-04-1110-K · 0001654954-24-004465
At date2022-01-3147,711,000USD2023-04-1810-K · 0001654954-23-004860
At date2021-01-3143,566,000USD2022-04-2110-K · 0001654954-22-005270
At date2020-01-3144,238,000USD2021-04-1610-K · 0001654954-21-004289
At date2019-01-3142,365,000USD2020-04-1510-K · 0001654954-20-004107
At date2018-01-3142,919,000USD2019-04-1610-K · 0001654954-19-004479
At date2017-01-3135,535,000USD2018-04-1610-K · 0001144204-18-020717
At date2016-01-3140,841,000USD2017-04-2610-K · 0001144204-17-022256
At date2015-01-3137,092,000USD2016-04-2110-K · 0001144204-16-095568
At date2014-01-3139,844,309USD2015-05-1810-K · 0001144204-15-032060
At date2013-01-3139,270,675USD2014-04-2810-K · 0001144204-14-025258
At date2012-01-3145,668,355USD2013-07-1610-K/A · 0001144204-13-039630
At date2011-01-3145,295,295USD2012-04-1810-K · 0001144204-12-022494

Related financial histories

Inspect the source

Entity
LAKELAND INDUSTRIES, INC. / CIK 0000798081
Captured
2026-09-19T15:04:57.604Z
SEC response SHA-256
1c68491e368c8928c7b33151c6520fc37313015d9c273b0d559fb8cd75321099

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/0000798081.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"])))