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CARDLYTICS, INC.: filings

Every CARDLYTICS, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 35 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-Q2026-08-05fiscal Q2 2026451260001628280-26-053340
10-Q2026-05-07fiscal Q1 202645930001628280-26-032158
10-K2026-03-04fiscal FY 2025561470001666071-26-000010
10-Q2025-11-05fiscal Q3 2025491360001666071-25-000159
10-Q2025-08-06fiscal Q2 2025491360001666071-25-000126
10-Q2025-05-07fiscal Q1 2025481000001666071-25-000069
10-K2025-03-12fiscal FY 2024571510001666071-25-000034
10-Q2024-11-06fiscal Q3 2024491350001666071-24-000167
10-Q2024-08-07fiscal Q2 2024491350001666071-24-000130
10-Q2024-05-08fiscal Q1 2024481010001666071-24-000094
10-K2024-03-14fiscal FY 2023501340001666071-24-000037
10-Q2023-11-08fiscal Q3 2023491390001666071-23-000150
10-Q2023-08-01fiscal Q2 2023471310001666071-23-000105
10-Q2023-05-04fiscal Q1 2023481010001666071-23-000073
10-K2023-03-01fiscal FY 2022521370001666071-23-000032
10-Q2022-11-01fiscal Q3 2022491380001666071-22-000134
10-Q2022-08-02fiscal Q2 2022471290001666071-22-000108
10-Q2022-05-02fiscal Q1 2022491030001666071-22-000059
10-K/A2022-05-02fiscal FY 2021481220001666071-22-000057
10-K2022-03-01fiscal FY 2021501260001666071-22-000022
10-Q2021-11-02fiscal Q3 2021511400001666071-21-000214
10-Q2021-08-03fiscal Q1 2021461190001666071-21-000159
10-Q2021-05-04fiscal Q1 202148960001666071-21-000082
10-K2021-03-01fiscal FY 2020471220001666071-21-000029
10-Q2020-11-02fiscal Q3 2020431130001666071-20-000279
10-Q2020-08-04fiscal Q2 2020421120001666071-20-000232
10-Q2020-05-11fiscal Q1 202042860001666071-20-000128
10-K2020-03-03fiscal FY 2019421120001666071-20-000054
10-Q2019-11-12fiscal Q3 2019381040001666071-19-000147
10-Q2019-08-08fiscal Q2 2019391090001666071-19-000084
10-Q2019-05-09fiscal Q1 201939830001666071-19-000039
10-K2019-03-05fiscal FY 2018431140001666071-19-000017
10-Q2018-11-13fiscal Q3 2018381050001666071-18-000019
10-Q2018-08-14fiscal Q2 2018421170001666071-18-000010
10-Q2018-05-10fiscal Q1 201837770001628280-18-006582

Inspect the source

Entity
CARDLYTICS, INC. / CIK 0001666071
Captured
2026-09-21T17:22:32.829Z
SEC response SHA-256
121ea210eef6833825fce1c132763effd32e79d61199fe2e0edd1107eea5a3b3

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/0001666071.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"])))