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MBC FUNDING II CORP.: filings

Every MBC FUNDING II CORP. 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-Q2025-10-24fiscal Q3 202516480001493152-25-019312
10-Q2025-07-22fiscal Q2 202516500001493152-25-011327
10-Q2025-04-24fiscal Q1 202513280001641172-25-005930
10-K2025-03-12fiscal FY 202416330001493152-25-009930
10-Q2024-10-23fiscal Q3 202415440001493152-24-042162
10-Q2024-07-22fiscal Q2 202415460001493152-24-028627
10-Q2024-04-23fiscal Q1 202412260001493152-24-015642
10-K2024-03-11fiscal FY 202315310001493152-24-009479
10-Q2023-10-24fiscal Q3 202315440001493152-23-038041
10-Q2023-07-20fiscal Q2 202315460001493152-23-025100
10-Q2023-04-19fiscal Q1 202312260001493152-23-012916
10-K2023-03-10fiscal FY 202216330001493152-23-007254
10-Q2022-10-21fiscal Q3 202215440001493152-22-029273
10-Q2022-07-22fiscal Q2 202215460001493152-22-020091
10-Q2022-04-14fiscal Q1 202212260001493152-22-009876
10-K2022-03-11fiscal FY 202116330001493152-22-006641
10-Q2021-10-20fiscal Q3 202115440001493152-21-025836
10-Q2021-07-23fiscal Q2 202115460001493152-21-017592
10-Q2021-04-14fiscal Q1 202112260001493152-21-008693
10-K2021-03-11fiscal FY 202015310001493152-21-005780
10-Q2020-10-20fiscal Q3 202015440001493152-20-019639
10-Q2020-07-23fiscal Q2 202015460001493152-20-013837
10-Q2020-04-13fiscal Q1 202012260001493152-20-006221
10-K2020-03-17fiscal FY 201915310001493152-20-004110
10-Q2019-10-21fiscal Q3 201915450001493152-19-015736
10-Q2019-07-26fiscal Q2 201915430001493152-19-011155
10-Q2019-04-15fiscal Q1 201912240001493152-19-005269
10-K2019-03-18fiscal FY 201815310001493152-19-003520
10-Q2018-10-18fiscal Q3 201815420001493152-18-014600
10-Q2018-07-27fiscal Q2 201815390001493152-18-010552
10-Q2018-04-16fiscal Q1 201810200001493152-18-005175
10-K2018-03-19fiscal FY 201714250001493152-18-003535
10-Q2017-10-19fiscal Q3 201715390001493152-17-011801
10-Q2017-07-27fiscal Q2 201714370001493152-17-008205
10-Q2017-04-25fiscal Q1 201712200001493152-17-004346
10-K2017-03-15fiscal FY 201613140001493152-17-002437
10-Q2016-10-26fiscal Q3 201613170001493152-16-014270
10-Q2016-07-28fiscal Q2 201613140001144204-16-114806

Inspect the source

Entity
MBC FUNDING II CORP. / CIK 0001664740
Captured
2026-09-21T17:19:01.961Z
SEC response SHA-256
c5e7fd09e19b88266a8f34ba54a04dc0c0d39757f6dcd0f8113bec93e0b9b42c

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/0001664740.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"])))