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NantHealth, Inc.: filings

Every NantHealth, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 30 filings, each linked to its SEC index.

Filing record ends 2023-11-22

The latest filing in this captured record is a 10-Q filed 2023-11-22. No later filing is in the SEC companyfacts record captured on 2026-09-22. NantHealth, Inc. may have stopped filing, merged, or changed its reporting entity; nothing on this page describes its current status. Values are as reported at the time.

Filings with published measures

Each page shows what one filing reported, as tagged in that filing, with the periods it covered. Later filings can restate a value; the company overview shows the latest-filed value per period.

FormFiledFiscal periodMeasuresFactsSEC accession
10-Q2023-11-22fiscal Q3 2023491430001566469-23-000075
10-Q2023-08-22fiscal Q2 2023481340001566469-23-000051
10-Q2023-05-15fiscal Q1 2023511050001566469-23-000028
10-K2023-04-14fiscal FY 2022571150001566469-23-000016
10-Q2022-11-04fiscal Q3 2022531530001566469-22-000052
10-Q2022-08-05fiscal Q2 2022531490001566469-22-000033
10-Q2022-05-06fiscal Q1 2022521070001566469-22-000024
10-K2022-02-25fiscal FY 2021561130001566469-22-000013
10-Q2021-11-05fiscal Q3 2021541550001566469-21-000046
10-Q2021-08-06fiscal Q2 2021531490001566469-21-000040
10-Q2021-05-07fiscal Q1 2021491010001566469-21-000025
10-K2021-02-26fiscal FY 2020531070001566469-21-000010
10-Q2020-11-09fiscal Q3 2020521450001566469-20-000051
10-Q2020-08-07fiscal Q2 2020501350001566469-20-000042
10-Q2020-05-08fiscal Q1 2020491010001566469-20-000023
10-K2020-02-28fiscal FY 2019561650001566469-20-000015
10-Q2019-11-08fiscal Q3 2019531490001566469-19-000054
10-Q2019-08-08fiscal Q2 2019531440001566469-19-000042
10-Q2019-05-09fiscal Q1 2019521060001566469-19-000023
10-K2019-04-01fiscal FY 2018511640001566469-19-000012
10-Q2018-11-21fiscal Q3 2018501420001566469-18-000026
10-Q2018-08-09fiscal Q2 2018501400001566469-18-000017
10-Q2018-05-10fiscal Q1 201846980001566469-18-000010
10-K2018-03-16fiscal FY 2017491750001566469-18-000006
10-Q2017-11-14fiscal Q3 2017461190001566469-17-000038
10-Q2017-08-11fiscal Q2 2017461200001566469-17-000027
10-Q2017-05-12fiscal Q1 201746940001566469-17-000018
10-K2017-03-31fiscal FY 2016511560001566469-17-000007
10-Q2016-11-10fiscal Q3 2016461190001566469-16-000017
10-Q2016-09-14fiscal Q2 2016461190001566469-16-000011

Inspect the source

Entity
NantHealth, Inc. / CIK 0001566469
Captured
SEC response SHA-256
7aa47ca5e102436d407909c1c4445125ac32d89bfda70180361969265ad4c157

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

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/0001566469.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"])))