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Products & Services
About Peter DeNoto
Peter DeNoto is a company reporting $0M-$1M in annual revenue, classified under All Other Support Services, based in Garden City, New York, United States, operating in Distributors and employing 1-5 people.
Its primary NAICS classification is 561990 (All Other Support Services). Peter DeNoto is one of 711,347 Consumer companies listed in New York.
Business Contact Information
- Phone
- +1 (516) 4081600
- Address
- 1050 Franklin Ave, Garden City, New York, 11530, United States
Industry & Classification
- Industry
- Consumer
- Sector
- Retail
- Segment
- Distributors
NAICS Codes
- 56Administrative and Support and Waste Management and Remediation Services
- 5619Other Support Services
- 561990All Other Support Services
SIC Codes
- 72Personal Services
- 729Miscellaneous Personal Services
- 7299Barbershop, Beauty Parlor, or Hair Styling Salon
Company Details
- Employees
- 2 (1-5)
- Annual Revenue
- $661,000 ($0M-$1M)
Peter DeNoto: frequently asked questions
What does Peter DeNoto do?
Peter DeNoto is a company reporting $0M-$1M in annual revenue, classified under All Other Support Services, based in Garden City, New York, United States, operating in Distributors and employing 1-5 people.
Where is Peter DeNoto located?
Peter DeNoto is headquartered at 1050 Franklin Ave, Garden City, New York, 11530, United States.
How many employees does Peter DeNoto have?
Peter DeNoto has about 2 employees (the 1-5 range).
What is Peter DeNoto's annual revenue?
Peter DeNoto's annual revenue is estimated at $661,000 (the $0M-$1M range).
What industry is Peter DeNoto in?
Peter DeNoto is in the Consumer / Retail industry, and its primary NAICS code is 561990 (All Other Support Services).
How can I contact Peter DeNoto?
Its phone number is +1 (516) 4081600.
Largest companies in New York
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Manufacturing sales in New York, 2026
In New York, Factur's 2026 study counted 53 manufacturing quotes worth $5M and 8 purchase orders over 12 months: 15% of quotes became orders, against 21% nationally. See the New York data.
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