DFX Intelligence
Data Factory
Reading the graph
Reading the graph
| Class | ||||||||
|---|---|---|---|---|---|---|---|---|
| Culver City, | 540 | |||||||
| Culver City, | ||||||||
| Cincinnati, | 285 | |||||||
| $129M | 2024 | |||||||
| $184M | 2023 | |||||||
| Albany, | 1 | |||||||
| Reading, | $432M | 8 | 5 | 3 | 2025 | |||
| Robesonia, | 267 | |||||||
| United Kingdom, | $1.0B | 2025 | ||||||
| Reading, | 54 | |||||||
Reading Officers and Employees Retirement System Allocator · Allocators · matched READING OFFICERS & EMPL RET SYSTEM · <100M | $63.9M | 2024 | ||||||
| $8.7M | 2024 | |||||||
| Troy, | 57 | |||||||
| $3.0M | 2022 | |||||||
| $5.5M | 2022 | |||||||
Reading Township Non-Unif Employees Pension Plan Allocator · Allocators · matched READING TOWNSHIP NON-UNIF EMP PENSION PLAN · <100M | $3.0M | 2022 | ||||||
| Blue Bell, | 356 | |||||||
| $14.8M | 4 | 1 | 2028 | |||||
| 2016 | ||||||||
| 1993 | ||||||||
| 2002 | ||||||||
| 2003 | ||||||||
| 2003 | ||||||||
| 2009 | ||||||||
Lee Reading Banchetti Person · RIA / Wealth · matched LEE GORDON READING · J.P. MORGAN SECURITIES LLC | 2004 | |||||||
| 1991 | ||||||||
| 1997 | ||||||||
| 2008 | ||||||||
| 2013 | ||||||||
| 2015 | ||||||||
| 2006 | ||||||||
| Keasbey, | $3.9M | 2024 | ||||||
| Houma, | 162 | |||||||
| Midland, | 104 | |||||||
| Santa Fe Springs, | 99 | |||||||
| Fresno, | 76 | |||||||
| Houston, | 69 | |||||||
| Naples, | 54 | |||||||
| Houston, | 51 | |||||||
| 1992 | ||||||||
STEPHANIE HENRYKA MCCURRY Person · RIA / Wealth · matched STEPHANIE READING · RAYMOND JAMES FINANCIAL SERVICES ADVISORS, INC | 1988 | |||||||
| 1 | ||||||||
| 1 | ||||||||
| 1 | ||||||||
| 1 | ||||||||
| Watertown, | 1 | |||||||
| Watertown, | 1 | |||||||
| Watertown, | 1 | |||||||
| Watertown, |
Ranked by what the graph knows (size, observed deals, people, funds) unless you sort. Size is the best-evidenced figure for the row: AUM or regulatory AUM for firms and offices, close or reported gross asset value for funds, disclosed raised for companies. Click a class or a state in the table to filter by it. Counts are records per graph; with no graph selected, a firm that is on several graphs (matched by CRD, CIK, EIN or fund id, never by name) is listed once, with a dot for each graph.