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EchoStar Corporation: research and development expense

Research and development expense for EchoStar Corporation. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All EchoStar Corporation financial histories

What this measure means

Research and development costs recognized as expense. Capitalization policies and acquired projects can make this differ from total cash invested in development.

Exact concept: us-gaap:ResearchAndDevelopmentExpense. 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 2008-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Research and development expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3168,000,000USD2026-03-0210-K · 0001104659-26-021817
2024-01-012024-12-3191,000,000USD2026-03-0210-K · 0001104659-26-021817
2023-01-012023-12-31110,000,000USD2026-03-0210-K · 0001104659-26-021817
2022-01-012022-12-31110,000,000USD2025-02-2710-K · 0001558370-25-001663
2021-01-012021-12-3191,000,000USD2024-02-2910-K · 0001558370-24-002209
2020-01-012020-12-3129,448,000USD2023-02-2310-K · 0001415404-23-000005
2019-01-012019-12-3125,739,000USD2022-02-2410-K · 0001415404-22-000005
2018-01-012018-12-3127,570,000USD2021-02-2310-K · 0001415404-21-000005
2017-01-012017-12-3131,745,000USD2020-02-2010-K · 0001415404-20-000005
2016-01-012016-12-3131,170,000USD2019-02-2110-K · 0001415404-19-000003
2015-01-012015-12-3126,377,000USD2018-02-2210-K · 0001415404-18-000005
2014-01-012014-12-3160,886,000USD2017-02-2410-K · 0001415404-17-000010
2013-01-012013-12-3167,942,000USD2016-02-2410-K · 0001104659-16-099355
2012-01-012012-12-3169,649,000USD2015-02-2010-K · 0001047469-15-000972
2011-01-012011-12-3150,966,000USD2014-02-2110-K · 0001047469-14-001113
2010-01-012010-12-3146,093,000USD2013-02-2010-K · 0001104659-13-011985
2009-01-012009-12-3144,009,000USD2012-03-0710-K · 0001104659-12-016268
2008-01-012008-12-3134,901,000USD2011-02-2410-K · 0001193125-11-044057

Related financial histories

Inspect the source

Entity
EchoStar Corporation / CIK 0001415404
Captured
2026-09-19T11:18:07.607Z
SEC response SHA-256
b3e3c96d3487b5a2a64f97cd9fc2fb916ae61758ffa9ec508043a98bcd9ccb73

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/0001415404.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"])))