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ACME UNITED CORP: change in inventories

Change in inventories for ACME UNITED CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All ACME UNITED CORP financial histories

What this measure means

The cash flow adjustment for the change in inventories during the period. A positive value under this concept means inventory grew and reduced operating cash flow.

Exact concept: us-gaap:IncreaseDecreaseInInventories. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2010-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Change in inventories in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-313,072,247USD2026-03-1110-K · 0001193125-26-102079
2024-01-012024-12-31329,896USD2026-03-1110-K · 0001193125-26-102079
2023-01-012023-12-31-3,648,679USD2025-03-0610-K · 0000950170-25-034843
2022-01-012022-12-319,606,835USD2024-03-0710-K · 0000950170-24-027907
2021-01-012021-12-313,209,330USD2023-03-1010-K · 0001564590-23-003422
2020-01-012020-12-3110,049,513USD2022-03-3010-K · 0001564590-22-012597
2019-01-012019-12-31-2,089,861USD2021-03-3110-K · 0001564590-21-017128
2018-01-012018-12-311,580,151USD2020-03-1310-K · 0001564590-20-010850
2017-01-012017-12-311,846,765USD2019-03-1510-K · 0001026608-19-000011
2016-01-012016-12-311,483,785USD2018-03-1510-K · 0001026608-18-000010
2015-01-012015-12-312,599,728USD2017-03-1010-K · 0001026608-17-000009
2014-01-012014-12-314,391,815USD2016-03-1110-K · 0001026608-16-000091
2013-01-012013-12-31-2,056,469USD2015-03-0610-K · 0001026608-15-000007
2012-01-012012-12-315,310,860USD2014-03-0610-K · 0001026608-14-000011
2011-01-012011-12-311,127,005USD2013-03-0810-K · 0001026608-13-000014
2010-01-012010-12-315,015,837USD2012-03-0710-K · 0001026608-12-000017

Related financial histories

Inspect the source

Entity
ACME UNITED CORP / CIK 0000002098
Captured
2026-09-19T14:42:35.900Z
SEC response SHA-256
06951158c151bcf8f37297593ceee4916d4d357dcfc6e8b24f66d74ba2a6b0e3

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/0000002098.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"])))