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DISH Network Corp: change in inventories

Change in inventories for DISH Network Corp. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All DISH Network 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 2007-01-01 to 2024-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Change in inventories in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-01-012024-12-31-176,191,000USD2025-03-1210-K · 0001558370-25-002818
2023-01-012023-12-31-2,658,000USD2025-03-1210-K · 0001558370-25-002818
2022-01-012022-12-31-36,722,000USD2025-03-1210-K · 0001558370-25-002818
2021-01-012021-12-31167,985,000USD2024-03-2910-K · 0001558370-24-004386
2020-01-012020-12-31-58,291,000USD2023-02-2310-K · 0001558370-23-001811
2019-01-012019-12-3179,542,000USD2022-02-2410-K · 0001558370-22-001816
2018-01-012018-12-31-14,788,000USD2021-02-2210-K · 0001558370-21-001322
2017-01-012017-12-31-37,895,000USD2020-02-1910-K · 0001558370-20-000945
2016-01-012016-12-3143,157,000USD2019-02-1310-K · 0001558370-19-000607
2015-01-012015-12-31-96,318,000USD2018-02-2110-K · 0001558370-18-000826
2014-01-012014-12-31-380,000USD2017-02-2210-K · 0001558370-17-000748
2013-01-012013-12-3112,654,000USD2016-02-1810-K · 0001558370-16-003267
2012-01-012012-12-31-85,321,000USD2015-02-2310-K · 0001104659-15-012777
2011-01-012011-12-3161,809,000USD2014-02-2110-K · 0001104659-14-012023
2010-01-012010-12-31229,154,000USD2013-02-2010-K · 0001104659-13-011967
2009-01-012009-12-31-51,411,000USD2012-02-2310-K · 0001104659-12-011853
2008-01-012008-12-31158,498,000USD2011-02-2410-K · 0001104659-11-009436
2007-01-012007-12-31-88,364,000USD2010-03-0110-K · 0000950123-10-018671

Related financial histories

Inspect the source

Entity
DISH Network Corp / CIK 0001001082
Captured
2026-09-21T17:17:51.549Z
SEC response SHA-256
165dde8a1f313a32d64790d09b6748516ba738658a0b55fcffd0ab1f9c5cb038

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/0001001082.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"])))