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ALTERYX, INC.: filings

Every ALTERYX, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 28 filings, each linked to its SEC index.

Filing record ends 2024-02-06

The latest filing in this captured record is a 10-K filed 2024-02-06. No later filing is in the SEC companyfacts record captured on 2026-09-22. ALTERYX, 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-K2024-02-06fiscal FY 2023571490001689923-24-000006
10-Q2023-11-07fiscal Q3 2023491440001689923-23-000077
10-Q2023-08-08fiscal Q2 2023491400001689923-23-000054
10-Q2023-04-28fiscal Q1 2023491020001689923-23-000034
10-K2023-02-10fiscal FY 2022561470001689923-23-000012
10-Q2022-11-02fiscal Q3 2022501470001689923-22-000092
10-Q2022-08-03fiscal Q2 2022501430001689923-22-000069
10-Q2022-05-04fiscal Q1 2022501030001689923-22-000042
10-K2022-02-15fiscal FY 2021561470001689923-22-000023
10-Q2021-11-03fiscal Q3 2021501470001689923-21-000097
10-Q2021-08-04fiscal Q2 2021501430001689923-21-000080
10-Q2021-05-05fiscal Q1 2021501030001689923-21-000050
10-K2021-02-12fiscal FY 2020571890001689923-21-000024
10-Q2020-11-06fiscal Q3 2020501470001689923-20-000099
10-Q2020-08-07fiscal Q2 2020501430001689923-20-000076
10-Q2020-05-07fiscal Q1 2020501030001689923-20-000033
10-K2020-02-14fiscal FY 2019571850001689923-20-000006
10-Q2019-11-01fiscal Q3 2019531510001689923-19-000036
10-Q2019-08-01fiscal Q2 2019511390001689923-19-000026
10-Q2019-05-02fiscal Q1 2019511040001689923-19-000018
10-K2019-03-01fiscal FY 2018541830001689923-19-000006
10-Q2018-11-08fiscal Q3 2018421160001689923-18-000011
10-Q2018-08-09fiscal Q2 2018421160001689923-18-000007
10-Q2018-05-10fiscal Q1 201840820001193125-18-159331
10-K2018-03-08fiscal FY 2017481490001193125-18-073878
10-Q2017-11-09fiscal Q3 2017391030001193125-17-338984
10-Q2017-08-03fiscal Q2 2017391030001193125-17-247615
10-Q2017-05-11fiscal Q1 201738760001193125-17-167459

Inspect the source

Entity
ALTERYX, INC. / CIK 0001689923
Captured
SEC response SHA-256
a4e0565f6749fa39a94e9fb80f87c625e261d1984867441101ba7a1d2ce17606

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/0001689923.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"])))