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HOLOGIC INC: change in accounts receivable

Change in accounts receivable for HOLOGIC INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All HOLOGIC INC financial histories

What this measure means

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

Exact concept: us-gaap:IncreaseDecreaseInAccountsReceivable. 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 2006-10-01 to 2025-09-27. The SEC response was captured on 2026-09-21.

Selected filing history

Change in accounts receivable in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-09-292025-09-27-7,800,000USD2025-11-1810-K · 0000859737-25-000072
2023-10-012024-09-28-41,000,000USD2025-11-1810-K · 0000859737-25-000072
2022-09-252023-09-301,500,000USD2025-11-1810-K · 0000859737-25-000072
2021-09-262022-09-24-272,300,000USD2024-11-2710-K · 0000859737-24-000024
2020-09-272021-09-25-110,900,000USD2023-11-2110-K · 0000859737-23-000023
2019-09-292020-09-26427,100,000USD2022-11-1510-K · 0000859737-22-000022
2018-09-302019-09-2876,500,000USD2021-11-1610-K · 0000859737-21-000023
2017-10-012018-09-2938,200,000USD2020-11-1710-K · 0000859737-20-000039
2016-09-252017-09-3041,500,000USD2019-11-2710-K · 0000859737-19-000026
2015-09-272016-09-2431,800,000USD2018-11-2010-K · 0000859737-18-000020
2014-09-282015-09-2630,300,000USD2017-11-2110-K · 0000859737-17-000023
2013-09-292014-09-27-7,900,000USD2016-11-1710-K · 0000859737-16-000071
2012-09-302013-09-28-4,100,000USD2015-11-1910-K · 0000859737-15-000034
2011-09-252012-09-2911,000,000USD2014-11-2010-K · 0000859737-14-000008
2010-09-262011-09-2417,131,000USD2013-11-2610-K · 0001193125-13-453681
2009-09-272010-09-2520,211,000USD2012-11-2810-K · 0001193125-12-482840
2008-09-282009-09-26-57,581,000USD2011-11-2310-K · 0001193125-11-320641
2007-09-302008-09-2758,801,000USD2010-11-2410-K · 0001193125-10-268147
2006-10-012007-09-2945,367,000USD2009-11-2410-K · 0001193125-09-241357

Related financial histories

Inspect the source

Entity
HOLOGIC INC / CIK 0000859737
Captured
2026-09-21T17:17:20.746Z
SEC response SHA-256
de4d3e10a10440a49fe81dcd5b8102cf8ebd16477ccb8f6248759c754c848564

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/0000859737.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"])))