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TECH DATA CORP: change in accounts receivable

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

All TECH DATA CORP 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 2008-02-01 to 2020-01-31. The SEC response was captured on 2026-09-22.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

Change in accounts receivable in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2019-02-012020-01-31-159,569,000USD2020-03-2510-K · 0000790703-20-000006 SEC
2018-02-012019-01-31512,385,000USD2020-03-2510-K · 0000790703-20-000006 SEC
2017-02-012018-01-31632,809,000USD2020-03-2510-K · 0000790703-20-000006 SEC
2016-02-012017-01-31117,788,000USD2019-03-2010-K · 0000790703-19-000010 SEC
2015-02-012016-01-31297,637,000USD2018-03-2210-K · 0000790703-18-000011 SEC
2014-02-012015-01-31-22,166,000USD2017-03-3010-K · 0000790703-17-000023 SEC
2013-02-012014-01-3136,031,000USD2016-03-2410-K · 0000790703-16-000030 SEC
2012-02-012013-01-31103,538,000USD2015-03-2610-K · 0000790703-15-000005 SEC
2011-02-012012-01-31-10,744,000USD2014-04-0910-K · 0000790703-14-000027 SEC
2010-02-012011-01-3113,726,000USD2014-02-0510-K · 0000790703-14-000007 SEC
2009-02-012010-01-31168,152,000USD2012-03-2110-K · 0001193125-12-125548 SEC
2008-02-012009-01-3186,423,000USD2011-03-2310-K · 0001193125-11-075076 SEC

Related TECH DATA CORP histories

Inspect the source

Entity
TECH DATA CORP / CIK 0000790703
Captured
SEC response SHA-256
2f2d26ae6149faa6b1632d0846e07f088df381fdc2b854c077f10775acf7ed25

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/0000790703.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"])))