Web Methods Inc
Contact Information
Business Description
Web Methods Inc was founded in 2000. At this location, Web Methods Inc employs approximately 5 people. Annual sales for Web Methods Inc are around 1,715,000.
Employees: 5
Revenue: 1,715,000
Founded: 2000
Industry
Shopping
Shopping
Engaged in:
Software Company
Software Company
ISIC Codes
4741
NAICS Codes
443142
4741
NAICS Codes
443142
Questions & Answers
Q1
How long has Web Methods Inc been in business?
Web Methods Inc has been in business for around 26 years.Q2
What is the phone number for Web Methods Inc?
The phone number for Web Methods Inc is (858) 597-7530.Q3
How big is Web Methods Inc?
Web Methods Inc generates approximately 1,715,000 in revenue annually, and employs around 5 people at this location.Q4
Where is Web Methods Inc located?
Web Methods Inc is located at 5355 Mira Sorrento Pl # 100, San Diego, CA 92121, California.Q5
Is there a primary contact for Web Methods Inc?
You can contact Web Methods Inc by phone using number (858) 597-7530.Q6
What is the web address (URL) for Web Methods Inc?
The website for Web Methods Inc is www.webmethods.com.Q7
What are the annual sales for Web Methods Inc?
Web Methods Inc has annual sales of approximately 1,715,000.Q8
How many people are employeed at Web Methods Inc?
Web Methods Inc has around 5 employees at this location.Similar Companies Nearby
Additional Businesses at this Address
5355 Mira Sorrento Pl # 100, San Diego, CA 92121
Businesses in Zip Code 92121
Businesses in 92121: 19,920
Population: 5,319
Categories
Professional Services: 22%
Shopping: 21%
Medical: 13%
Industry: 10%
Other: 34%
Price
Moderate: 50%
Inexpensive: 35%
Expensive: 12%
Very Expensive: 3%
Other: 0%
Area Codes
858: 89%
619: 7%
Other: 4%
Neighborhoods
La Jolla: 9%
Miramar: 13%
Sorrento Valley: 62%
University City: 12%
Other: 4%
Stats and Demographics for Zip Code 92121
Race
White: 64%
Asian: 25%
Hispanic or Latino: 6%
Black Or African American: 2%
American Indian Or Alaskan Native: 0%
Native Hawaiian & Other Pacific Islander: 0%
Other: 2%
Gender
Male: 51%
Female: 49%
Other: 0%