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NUTANIX, INC.: filings

Every NUTANIX, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 40 filings, each linked to its SEC index.

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-K2026-09-18fiscal FY 2026551450001193125-26-394793
10-Q2026-05-29fiscal Q3 2026501450001193125-26-248282
10-Q2026-03-02fiscal Q2 2026501400001193125-26-085397
10-Q2025-12-04fiscal Q1 2025501040001193125-25-308095
10-K2025-09-24fiscal FY 2025551450001193125-25-213801
10-Q2025-06-03fiscal Q3 2025501440000950170-25-080917
10-Q2025-03-06fiscal Q2 2025501400000950170-25-034610
10-Q2024-12-05fiscal Q1 2024501040000950170-24-133675
10-K2024-09-19fiscal FY 2024541420000950170-24-108159
10-Q2024-06-10fiscal Q3 2024501440000950170-24-071318
10-Q2024-03-07fiscal Q2 2024501400000950170-24-027936
10-Q2023-12-07fiscal Q1 2024501040000950170-23-068799
10-K2023-09-21fiscal FY 2023541410000950170-23-049179
10-Q2023-06-02fiscal Q3 2023501430000950170-23-026080
10-Q2023-05-24fiscal Q2 2023501400000950170-23-023905
10-Q2022-12-07fiscal Q1 2022511060000950170-22-026156
10-K2022-09-21fiscal FY 2022551420000950170-22-018732
10-Q2022-06-02fiscal Q3 2022471310000950170-22-011081
10-Q2022-03-10fiscal Q2 2022471270000950170-22-003363
10-Q2021-12-02fiscal Q1 202247990000950170-21-005015
10-K2021-09-21fiscal FY 2021511290000950170-21-001852
10-Q2021-06-03fiscal Q3 2021471280000950170-21-000299
10-Q2021-03-04fiscal Q2 2021471240001564590-21-010978
10-Q2020-12-03fiscal Q1 202148990001618732-20-000144
10-K2020-09-23fiscal FY 2020502140001618732-20-000112
10-Q2020-06-04fiscal Q3 2020471260001618732-20-000051
10-Q2020-03-05fiscal Q2 2020471220001618732-20-000012
10-Q2019-12-05fiscal Q1 202047960001618732-19-000123
10-K2019-09-24fiscal FY 2019482130001618732-19-000114
10-Q2019-06-05fiscal Q3 2019451230001618732-19-000060
10-Q2019-03-12fiscal Q2 2019451190001618732-19-000030
10-Q2018-12-10fiscal Q1 201944920001618732-18-000173
10-K2018-09-24fiscal FY 2018492140001618732-18-000131
10-Q2018-06-12fiscal Q3 2018421050001618732-18-000079
10-Q2018-03-15fiscal Q2 2018421050001618732-18-000027
10-Q2017-12-13fiscal Q1 201842850001618732-17-000189
10-K2017-09-18fiscal FY 2017461960001618732-17-000123
10-Q2017-06-02fiscal Q3 2017421040001618732-17-000061
10-Q2017-03-10fiscal Q2 2017421040001618732-17-000001
10-Q2016-12-08fiscal Q1 201743860001628280-16-021886

Inspect the source

Entity
NUTANIX, INC. / CIK 0001618732
Captured
2026-09-21T17:21:37.825Z
SEC response SHA-256
6a69bb27fc3667bd5163a2e7646da8b653b3d478902852b2c8c937c556173944

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/0001618732.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"])))