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RBB Bancorp: filings

Every RBB Bancorp annual and quarterly report in the SEC record with the published financial measures it tagged, 38 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 202630910001437749-26-026563
10-Q2026-05-08fiscal Q1 202629700001437749-26-015865
10-K2026-03-09fiscal FY 202537950001437749-26-007387
10-Q2025-11-07fiscal Q3 202531950001437749-25-033871
10-Q2025-08-08fiscal Q2 202531950001437749-25-025734
10-Q2025-05-12fiscal Q1 202531740001437749-25-016170
10-K2025-03-17fiscal FY 202435920001437749-25-008002
10-Q2024-11-08fiscal Q3 202431930001437749-24-034187
10-Q2024-08-08fiscal Q2 202432980001437749-24-025500
10-Q2024-05-09fiscal Q1 202431740001437749-24-015725
10-K2024-03-12fiscal FY 202334920001437749-24-007474
10-Q2023-11-14fiscal Q3 202330850001437749-23-031921
10-Q2023-08-08fiscal Q2 202330850001437749-23-022536
10-Q2023-05-09fiscal Q1 202330630001437749-23-013333
10-K2023-04-07fiscal FY 202235930001437749-23-009747
10-Q2022-12-23fiscal Q3 202232870001437749-22-029683
10-Q2022-08-08fiscal Q2 202232870001437749-22-019293
10-Q2022-05-09fiscal Q1 202231630001437749-22-011501
10-K2022-03-11fiscal FY 2021351460001437749-22-006041
10-Q2021-11-08fiscal Q3 202131890001437749-21-025587
10-Q2021-08-06fiscal Q2 202131890001437749-21-018932
10-Q2021-05-07fiscal Q1 202130680001437749-21-011186
10-K/A2021-03-22fiscal FY 2020331380001437749-21-006666
10-K2021-03-09fiscal FY 2020331380001437749-21-005417
10-Q2020-11-09fiscal Q3 202030870001437749-20-023147
10-Q2020-08-10fiscal Q2 202033900001564590-20-038963
10-Q2020-05-11fiscal Q1 202032650001564590-20-024333
10-K2020-03-17fiscal FY 2019361420001564590-20-011272
10-Q2019-11-12fiscal Q3 201931880001564590-19-042917
10-Q2019-08-09fiscal Q2 201929830001564590-19-031243
10-Q2019-05-10fiscal Q1 201929590001564590-19-018532
10-K2019-03-27fiscal FY 2018321320001564590-19-009598
10-Q2018-11-13fiscal Q3 201828780001564590-18-029149
10-Q2018-08-14fiscal Q2 201827770001564590-18-021617
10-Q2018-05-15fiscal Q1 201822450001564590-18-013637
10-K2018-03-30fiscal FY 201727690001564590-18-007262
10-Q2017-11-13fiscal Q3 201724700001564590-17-023450
10-Q2017-09-06fiscal Q2 201724700001564590-17-018342

Inspect the source

Entity
RBB Bancorp / CIK 0001499422
Captured
2026-09-20T09:11:15.990Z
SEC response SHA-256
95d20339a05fc58a63164e9f117c18e5ed28ec22fadfdf65e8a8a30e3a007c39

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/0001499422.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"])))