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Alpha Pro Tech, Ltd.: cash and cash equivalents

Cash and cash equivalents for Alpha Pro Tech, Ltd. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Alpha Pro Tech, Ltd. financial histories

What this measure means

Cash and qualifying short-term liquid investments under the filer’s accounting policy. Restricted cash and longer-term investments may be reported separately.

Exact concept: us-gaap:CashAndCashEquivalentsAtCarryingValue. 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 2009-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Cash and cash equivalents in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-3116,988,000USD2026-03-1110-K · 0001437749-26-007797
At date2024-12-3118,636,000USD2026-03-1110-K · 0001437749-26-007797
At date2023-12-3120,378,000USD2025-03-1210-K · 0001437749-25-007218
At date2022-12-3116,290,000USD2024-03-1310-K · 0001437749-24-007539
At date2021-12-3116,307,000USD2023-03-1610-K · 0001437749-23-006845
At date2020-12-3123,292,000USD2022-03-1110-K · 0001437749-22-005979
At date2019-12-316,548,000USD2021-03-1010-K · 0001437749-21-005551
At date2018-12-317,007,000USD2020-03-1010-K · 0001437749-20-004678
At date2017-12-318,763,000USD2020-03-1010-K · 0001437749-20-004678
At date2016-12-319,456,000USD2019-03-0610-K · 0001437749-19-004169
At date2015-12-319,681,000USD2018-03-1210-K · 0001437749-18-004389
At date2014-12-315,495,000USD2017-03-0810-K · 0001437749-17-004000
At date2013-12-318,215,000USD2016-03-0310-K · 0001437749-16-026648
At date2012-12-314,554,000USD2015-03-0610-K · 0001437749-15-004304
At date2011-12-317,503,000USD2014-03-0610-K · 0001437749-14-003563
At date2010-12-315,316,000USD2013-03-0610-K · 0001437749-13-002367
At date2009-12-319,753,000USD2012-03-1510-K · 0001437749-12-002336

Related financial histories

Inspect the source

Entity
Alpha Pro Tech, Ltd. / CIK 0000884269
Captured
2026-09-20T05:02:27.808Z
SEC response SHA-256
e8dfe1dffea7efd574e02c778687c1eae18539cc715fadb53a96f8b171488969

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/0000884269.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"])))