Skip to content

APPIAN CORPORATION: filings

Every APPIAN CORPORATION annual and quarterly report in the SEC record with the published financial measures it tagged, 37 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-Q2026-08-06fiscal Q2 2026511520001441683-26-000053
10-Q2026-05-07fiscal Q1 2026511080001441683-26-000032
10-K2026-02-19fiscal FY 2025551460001441683-26-000013
10-Q2025-11-06fiscal Q3 2025511560001441683-25-000068
10-Q2025-08-07fiscal Q2 2025511520001441683-25-000053
10-Q2025-05-08fiscal Q1 2025501070001441683-25-000041
10-K2025-02-19fiscal FY 2024551460001441683-25-000017
10-Q2024-11-07fiscal Q3 2024521600001441683-24-000097
10-Q2024-08-01fiscal Q2 2024521560001441683-24-000070
10-Q2024-05-02fiscal Q1 2024511100001441683-24-000042
10-K2024-02-15fiscal FY 2023511380001441683-24-000016
10-Q2023-11-02fiscal Q3 2023481490001441683-23-000093
10-Q2023-08-03fiscal Q2 2023481450001441683-23-000073
10-Q2023-05-09fiscal Q1 2023481030001441683-23-000056
10-K2023-02-16fiscal FY 2022521380001441683-23-000021
10-Q2022-11-03fiscal Q3 2022481490001441683-22-000100
10-Q2022-08-04fiscal Q2 2022481450001441683-22-000083
10-Q2022-05-05fiscal Q1 2022481040001441683-22-000049
10-K2022-02-17fiscal FY 2021511370001441683-22-000023
10-Q2021-11-04fiscal Q3 2021461410001441683-21-000085
10-Q2021-08-05fiscal Q2 2021461360001441683-21-000063
10-Q2021-05-06fiscal Q1 202146980001441683-21-000041
10-K2021-02-18fiscal FY 2020451180001441683-21-000018
10-Q2020-11-05fiscal Q3 2020421220001441683-20-000119
10-Q2020-08-06fiscal Q2 2020421160001441683-20-000095
10-Q2020-05-07fiscal Q1 202044900001441683-20-000048
10-K2020-02-20fiscal FY 2019472040001441683-20-000020
10-Q2019-10-31fiscal Q3 2019401180001441683-19-000179
10-Q2019-08-08fiscal Q2 2019391080001441683-19-000129
10-Q2019-05-02fiscal Q1 201937780001441683-19-000085
10-K2019-02-21fiscal FY 2018432020001441683-19-000047
10-Q2018-11-01fiscal Q3 2018381040001441683-18-000126
10-Q2018-08-02fiscal Q2 201835980001441683-18-000113
10-Q2018-05-03fiscal Q1 201836740001441683-18-000063
10-K2018-02-23fiscal FY 2017432080001441683-18-000023
10-Q2017-11-02fiscal Q3 2017371040001441683-17-000025
10-Q2017-08-03fiscal Q2 201733950001564590-17-015376

Inspect the source

Entity
APPIAN CORPORATION / CIK 0001441683
Captured
2026-09-20T09:04:05.994Z
SEC response SHA-256
7993a8c18942ddbd5c5fe582b0a25f18acc2b29079ce52466654b3a71dacf59f

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/0001441683.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"])))