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MERCHANTS BANCORP: filings

Every MERCHANTS BANCORP annual and quarterly report in the SEC record with the published financial measures it tagged, 36 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-Q2026-08-07fiscal Q2 202629780001104659-26-092702
10-Q2026-05-07fiscal Q1 202629610001104659-26-057107
10-K2026-02-27fiscal FY 202535950001104659-26-021549
10-Q2025-11-07fiscal Q3 202528780001104659-25-108470
10-Q2025-08-11fiscal Q2 202528780001558370-25-011041
10-Q2025-05-09fiscal Q1 202528600001558370-25-007170
10-K2025-02-28fiscal FY 202435930001558370-25-001941
10-Q2024-11-08fiscal Q3 202429800001558370-24-015053
10-Q2024-08-09fiscal Q2 202429800001558370-24-011741
10-Q2024-05-10fiscal Q1 202431660001558370-24-007783
10-K2024-03-12fiscal FY 2023371550001558370-24-003005
10-Q2023-11-09fiscal Q3 202332870001558370-23-018561
10-Q2023-08-09fiscal Q2 202333890001558370-23-014252
10-Q2023-05-10fiscal Q1 202332680001558370-23-009094
10-K2023-03-16fiscal FY 2022381540001558370-23-004012
10-Q2022-11-08fiscal Q3 202234880001558370-22-016861
10-Q2022-08-08fiscal Q2 202234890001558370-22-012613
10-Q2022-05-09fiscal Q1 202232650001558370-22-007876
10-K2022-03-04fiscal FY 2021351530001558370-22-002893
10-Q2021-11-08fiscal Q3 202129820001558370-21-015024
10-Q2021-08-09fiscal Q2 202029820001558370-21-010966
10-Q2021-05-10fiscal Q1 202129620001558370-21-006666
10-K2021-03-05fiscal FY 2020341520001558370-21-002456
10-Q2020-11-09fiscal Q3 202029910001558370-20-013346
10-Q2020-08-10fiscal Q2 202029870001558370-20-010176
10-Q2020-05-04fiscal Q1 202029630001558370-20-005035
10-K2020-03-16fiscal FY 2019361550001558370-20-002771
10-Q2019-11-08fiscal Q3 201929910001558370-19-010599
10-Q2019-08-09fiscal Q2 201929870001558370-19-007898
10-Q2019-05-10fiscal Q1 201929620001544784-19-000004
10-K2019-03-15fiscal FY 2018361530001558370-19-002098
10-Q2018-11-14fiscal Q3 201829830001558370-18-009340
10-Q2018-08-14fiscal Q2 201829810001558370-18-007077
10-Q2018-05-15fiscal Q1 201829600001558370-18-004824
10-K2018-03-28fiscal FY 2017361530001558370-18-002483
10-Q2017-12-07fiscal Q3 201729810001558370-17-009232

Inspect the source

Entity
MERCHANTS BANCORP / CIK 0001629019
Captured
2026-09-21T17:22:02.907Z
SEC response SHA-256
42dc2b70468471e2f6f7a1fb44672373c9ef951d636614f485f1e5c9f92e81dd

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/0001629019.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"])))