Arizona ancillary health service organizations

There are 115ancillary health care service organizations in Arizona. Combined, these Arizonanancillary health service organizationsemploy 6,416 people, earn more than $955 million in revenue each year, and have assets of $640 million.

Types of ancillary health service organizations in Arizona

Nonprofit typeNumberRevenues
115
$955,478,831
22
$13,806,014
2
$3,625,396
Showing 3 of 3categories

Ancillary health service organizations by major Arizona cities

Metro areaNonprofitsRevenues
67
$941,059,503
22
$8,275,941
13
$2,838,643
3
$117,587
2
$410,908
2
$0
1
$0
Showing 7 of 7metros

Job trends for Arizona ancillary health service organizations

Employees per organizationNumber of organizations
0
13
1-10
2
11-25
2
26-100
5
101 to 1,000
1
1,000+
1
Key takeaways for employment stats:

Sizes of ancillary health service organizations in Arizona

Revenues per organizationNumber of organizations
< $250k
18
$250k to $1M
7
$1M to $5M
4
$5M to $25M
1
$25M to $100M
0
$100M+
2
Key takeaways for revenue stats:

Directory of ancillary health service organizations in Arizona


Want more insights on ancillary health service organizations in Arizona?
There's a whole lot more to Cause IQ than what you see here. Additional filters, personnel information, peer benchmarking, Salesforce integration, vendor lists, etc. Access all the information your company needs in one place, already collected.
Schedule a demo
Over 200 customers use Cause IQ to grow, maintain, and serve their nonprofit clients.
Methodology: Cause IQ mines all tax-exempt organizations that file a Form 990, Form 990-EZ, or Form 990-PF with the IRS. We collect and aggregate this information from OCR'd paper taxreturns, XML e-file taxreturns, IRS-provided extract, the Business Master File, and Cause IQ secret sauce for data cleaning, categorization, classification, analytics, etc.
This category corresponds to the "E60: Health Support Services" National Taxonomy of Exempt Entities (NTEE) code. Cause IQ determines NTEEs for organizations by its own internally-developed secret-sauce algorithms.