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Stellar Bancorp, Inc.: filings

Every Stellar Bancorp, 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-Q2026-04-28fiscal Q1 202633700001473844-26-000025
10-K2026-02-26fiscal FY 202536980001473844-26-000006
10-Q2025-10-24fiscal Q3 202533920001473844-25-000064
10-Q2025-07-25fiscal Q2 202533920001473844-25-000049
10-Q2025-04-25fiscal Q1 202533700001473844-25-000032
10-K2025-03-03fiscal FY 202436980001473844-25-000014
10-Q2024-10-25fiscal Q3 202433930001473844-24-000035
10-Q2024-07-26fiscal Q2 202433950001473844-24-000026
10-Q2024-04-26fiscal Q1 202433710001473844-24-000015
10-K2024-02-29fiscal FY 2023371010001473844-24-000010
10-Q2023-11-03fiscal Q3 202334970001473844-23-000058
10-Q2023-07-28fiscal Q2 202334970001473844-23-000045
10-Q2023-05-04fiscal Q1 202333710001473844-23-000019
10-K2023-03-15fiscal FY 2022371000001473844-23-000013
10-Q2022-10-28fiscal Q3 2022371040001558370-22-015589
10-Q2022-07-28fiscal Q2 2022371040001558370-22-011254
10-Q2022-04-28fiscal Q1 202236750001558370-22-006269
10-K2022-02-25fiscal FY 202137990001558370-22-002170
10-Q2021-10-27fiscal Q3 2021371040001558370-21-013647
10-Q2021-07-28fiscal Q2 2021371040001558370-21-009469
10-Q2021-04-28fiscal Q1 202136760001558370-21-005054
10-K2021-02-26fiscal FY 2020371480001558370-21-002028
10-Q2020-10-28fiscal Q3 2020371010001558370-20-011890
10-Q2020-07-29fiscal Q2 2020371000001558370-20-008616
10-Q2020-04-30fiscal Q1 202036740001558370-20-004698
10-K2020-02-26fiscal FY 2019371420001558370-20-001356
10-Q2019-10-24fiscal Q3 201937980001558370-19-009080
10-Q2019-07-25fiscal Q2 201936970001558370-19-006352
10-Q2019-04-30fiscal Q1 201934690001558370-19-003651
10-K2019-02-28fiscal FY 2018331360001558370-19-001353
10-Q2018-10-31fiscal Q3 201833920001558370-18-008115
10-Q2018-07-30fiscal Q2 201833920001558370-18-005890
10-Q2018-05-01fiscal Q1 201832680001558370-18-003672
10-K2018-03-23fiscal FY 2017341390001558370-18-002363
10-Q2017-12-14fiscal Q3 201733930001558370-17-009332

Inspect the source

Entity
Stellar Bancorp, Inc. / CIK 0001473844
Captured
2026-09-21T17:20:06.913Z
SEC response SHA-256
fe49287babe1ea8858d2432a4ebfcbfd3b63e201bd6b1f1764386959adcf2e7a

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/0001473844.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"])))