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NORAS CLEANING SERVICES LLC

Date of last update: 10 Mar 2025. Data updated weekly.

Company Details

Entity Name: NORAS CLEANING SERVICES LLC
Jurisdiction: Connecticut
Legal type: LLC
Citizenship: Domestic
Status: Active
Sub status: Annual report due
Date Formed: 11 Mar 2019
Business ALEI: 1302158
Annual report due: 31 Mar 2025
Business address: 270 Franklin ave, Hartford, CT, 06114, United States
Mailing address: 270 Franklin ave, Apt 1, Hartford, CT, United States, 06114
ZIP code: 06114
County: Hartford
Place of Formation: CONNECTICUT
E-Mail: norascleaningservices66@gmail.com

Industry & Business Activity

NAICS

561720 Janitorial Services

This industry comprises establishments primarily engaged in cleaning building interiors, interiors of transportation equipment (e.g., aircraft, rail cars, ships), and/or windows. Learn more at the U.S. Census Bureau

Agent

Name Role Business address Mailing address Phone E-Mail Residence address
NORA A. SALAZAR GOMEZ Agent 270 Franklin ave, Hartford, CT, 06114, United States 270 Franklin ave, Hartford, CT, 06114, United States +1 860-796-3782 norasalazar66@gmail.com 270 Franklin ave, Hartford, CT, 06114, United States

Officer

Name Role Business address Phone E-Mail Residence address
NORA A. SALAZAR GOMEZ Officer 241 FRANKLIN AVENUE, 2ND FL 2 NORTH, HARTFROD, CT, 06114, United States +1 860-796-3782 norasalazar66@gmail.com 270 Franklin ave, Hartford, CT, 06114, United States

Filing

Filing number Filing date Effective date Filing category Filing type Report year
BF-0012125597 2024-03-19 - Annual Report Annual Report -
BF-0011243643 2023-03-27 - Annual Report Annual Report -
BF-0010415624 2022-03-09 - Annual Report Annual Report 2022
0007263523 2021-03-26 - Annual Report Annual Report 2021
0006723386 2020-01-15 - Annual Report Annual Report 2020
0006457825 2019-03-11 2019-03-11 Business Formation Certificate of Organization -
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Sources: Connecticut's Official State Website

* While we strive to keep this information correct and up-to-date, it is not the primary source, and the dataset source should always be referred to for definitive information