Skip to content

Cole Office & Industrial REIT (CCIT II), Inc.: filings

Every Cole Office & Industrial REIT (CCIT II), Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 29 filings, each linked to its SEC index.

Filing record ends 2020-11-13

The latest filing in this captured record is a 10-Q filed 2020-11-13. No later filing is in the SEC companyfacts record captured on 2026-09-23. Cole Office & Industrial REIT (CCIT II), Inc. may have stopped filing, merged, or changed its reporting entity; nothing on this page describes its current status. Values are as reported at the time.

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-Q2020-11-13fiscal Q3 202022710001572758-20-000078
10-Q2020-08-14fiscal Q2 202024690001572758-20-000048
10-Q2020-05-14fiscal Q1 202023490001572758-20-000028
10-K2020-03-30fiscal FY 201922790001572758-20-000018
10-Q2019-11-13fiscal Q3 201923690001572758-19-000062
10-Q2019-08-12fiscal Q2 201923650001572758-19-000040
10-Q2019-05-13fiscal Q1 201922450001572758-19-000031
10-K2019-03-25fiscal FY 201822790001572758-19-000015
10-Q2018-11-14fiscal Q3 201820550001572758-18-000055
10-Q2018-08-13fiscal Q2 201819530001572758-18-000039
10-Q2018-05-14fiscal Q1 201819410001572758-18-000024
10-K2018-03-30fiscal FY 201722870001572758-18-000016
10-Q2017-11-14fiscal Q3 201719520001572758-17-000034
10-Q2017-08-11fiscal Q2 201718500001572758-17-000031
10-Q2017-05-12fiscal Q1 201718380001572758-17-000020
10-K2017-03-28fiscal FY 201619780001572758-17-000010
10-Q2016-11-10fiscal Q3 201619520001572758-16-000167
10-Q2016-08-12fiscal Q2 201620540001572758-16-000149
10-Q2016-05-10fiscal Q1 201620410001572758-16-000125
10-K2016-03-29fiscal FY 201523860001572758-16-000094
10-Q2015-11-13fiscal Q3 201521620001572758-15-000051
10-Q2015-08-14fiscal Q2 201521620001572758-15-000035
10-Q2015-05-13fiscal Q1 201521440001572758-15-000018
10-K2015-03-30fiscal FY 201420660001572758-15-000011
10-Q2014-11-12fiscal Q3 201419580001572758-14-000106
10-Q2014-08-14fiscal Q2 201419340001572758-14-000071
10-Q2014-05-14fiscal Q1 201418240001572758-14-000030
10-K2014-03-28fiscal FY 201312240001572758-14-000018
10-Q2013-11-13fiscal Q3 201310140001572758-13-000011

Inspect the source

Entity
Cole Office & Industrial REIT (CCIT II), Inc. / CIK 0001572758
Captured
SEC response SHA-256
d11cfb9955f612d70ddb5a932021b14ee4958877a8fe828d4a967487b2ff1f1a

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/0001572758.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"])))