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INPOINT COMMERCIAL REAL ESTATE INCOME, INC.: filings

Every INPOINT COMMERCIAL REAL ESTATE INCOME, INC. annual and quarterly report in the SEC record with the published financial measures it tagged, 37 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-Q2026-08-12fiscal Q2 202623710001690012-26-000009
10-Q2026-05-08fiscal Q1 202623490001690012-26-000005
10-K2026-03-13fiscal FY 202526710001690012-26-000002
10-Q2025-11-07fiscal Q3 202523710001193125-25-272384
10-Q2025-08-08fiscal Q2 202522670000950170-25-105866
10-Q2025-05-09fiscal Q1 202522450000950170-25-068035
10-K2025-03-14fiscal FY 202426720000950170-25-039459
10-Q2024-11-08fiscal Q3 202425780000950170-24-124106
10-Q2024-08-09fiscal Q2 202424740000950170-24-094778
10-Q2024-05-10fiscal Q1 202422440000950170-24-057892
10-K2024-03-15fiscal FY 202325700000950170-24-032205
10-Q2023-11-13fiscal Q3 202326780000950170-23-062979
10-Q2023-08-11fiscal Q2 202326780000950170-23-041862
10-Q2023-05-12fiscal Q1 202323460000950170-23-021802
10-K2023-03-30fiscal FY 202224670000950170-23-010947
10-Q2022-11-14fiscal Q3 202222660000950123-22-012392
10-Q2022-08-12fiscal Q2 202222660001564590-22-029320
10-Q2022-05-10fiscal Q1 202220420001564590-22-019295
10-K2022-03-11fiscal FY 202124630001564590-22-009873
10-Q2021-11-12fiscal Q3 202121600001564590-21-056702
10-Q2021-08-13fiscal Q2 202120550001564590-21-044215
10-Q2021-05-14fiscal Q1 202120400001564590-21-027928
10-K2021-03-19fiscal FY 202024630001564590-21-014315
10-Q2020-11-12fiscal Q3 202021590001564590-20-053491
10-Q2020-08-12fiscal Q2 202019540001564590-20-039667
10-Q2020-05-13fiscal Q1 202019390001564590-20-025116
10-K2020-03-11fiscal FY 201922590001564590-20-010055
10-Q2019-11-14fiscal Q3 201918490001564590-19-043407
10-Q2019-08-14fiscal Q2 201918490001564590-19-032018
10-Q2019-05-10fiscal Q1 201918380001564590-19-018487
10-K2019-03-12fiscal FY 201821540001564590-19-007320
10-Q2018-11-09fiscal Q3 201820540001564590-18-028913
10-Q2018-08-09fiscal Q2 201818480001564590-18-020973
10-Q2018-05-10fiscal Q1 201814290001564590-18-012862
10-K2018-03-14fiscal FY 201714250001564590-18-005663
10-Q2017-11-09fiscal Q3 201714260001564590-17-023210
10-Q2017-08-10fiscal Q2 201712220001564590-17-017194

Inspect the source

Entity
INPOINT COMMERCIAL REAL ESTATE INCOME, INC. / CIK 0001690012
Captured
2026-09-21T17:24:03.589Z
SEC response SHA-256
c2b5ba4315147d2c838423117de681d100f41a53463b096d12c9461acfc316d2

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/0001690012.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"])))