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2025–2026 federal contribution records · FEC Schedule A
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Reading the shared contribution publication for this cycle.
Federal contribution records grouped across normalized variants of this reported employer. Contributions are made by individuals, not by the employer.
Latest matching employer records · memo entries excluded from net amount
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These immutable labels appeared in FEC filings and are grouped under Wasserman.
These totals and connections use all matching indexed employer records, keeping the latest version within that employer group and excluding memo entries from net amounts. Amendments that change the reported employer may affect this grouping. No profile rebuild is required.
Top 10 contributors and top 10 recipients · independent of list pagination
Explore the reported connections for Wasserman. Contributor and recipient lists are available below.
Data: GovMoneyGraph, based on FEC records. Groupings and recipient-party allocations are derived analysis, not FEC-verified identities or party registrations. Read our contribution and classification methodology.
Reported name and ZIP groups; not verified unique people or cross-address identity matches · 10 per page
Showing 1–10 of 11 · largest absolute amount first
Reported name + ZIP cluster; not a verified identity merge · LOS ANGELES · CA · 90024 · WASSERMAN · CEO
63% Democratic / 37% Republican · 0% unclassifiedDerived from contributionsReported name + ZIP cluster; not a verified identity merge · THOUSAND OAKS · CA · 91361 · WASSERMAN · ATTORNEY
DemocraticDerived from contributionsReported name + ZIP cluster; not a verified identity merge · LOS ANGELES · CA · 90024 · WASSERMAN · CEO CHAIRMAN
100% RepublicanDerived from contributionsReported name + ZIP cluster; not a verified identity merge · CHAPEL HILL · NC · 27517 · WASSERMAN · MARKETING
DemocraticDerived from contributionsReported name + ZIP cluster; not a verified identity merge · CHAPEL HILL · NC · 27517 · WASSERMAN · MARKETING
DemocraticDerived from contributionsReported name + ZIP cluster; not a verified identity merge · NEW YORK · NY · 10012 · WASSERMAN · MARKETING
53% Democratic · 47% unclassifiedDerived from contributionsReported name + ZIP cluster; not a verified identity merge · AUSTIN · TX · 78704 · WASSERMAN · MUSIC AGENT
DemocraticDerived from contributionsReported name + ZIP cluster; not a verified identity merge · BEVERLY HILLS · CA · 90212 · WASSERMAN · MANAGER
DemocraticDerived from contributionsReported name + ZIP cluster; not a verified identity merge · SANTA MONICA · CA · 90403 · WASSERMAN · ATTORNEY
DemocraticDerived from contributionsReported name + ZIP cluster; not a verified identity merge · WOODLAND HILLS · CA · 91364 · WASSERMAN · SENIOR MANAGER
DemocraticDerived from contributionsWhere the contributions went · 10 per page
Showing 1–10 of 39 · largest absolute amount first
Party committee (qualified) · WASHINGTON · DC · SULLIVAN, DAN · U.S. Senate · AK · 00
RepublicanDerived from contributionsPAC (not qualified) · ALEXANDRIA · VA
100% RepublicanDerived from contributionsPAC (qualified) · WASHINGTON · DC
46% Democratic / 54% RepublicanDerived from contributionsHouse campaign committee · BROOKLYN · NY · CLARKE, YVETTE D · U.S. House · NY · 09
DemocraticDerived from contributionsIndividual transactions · 10 per page
Dates below are the FEC-reported contribution dates, not filing or import dates. These are individual contributions grouped by the reported employer field, not contributions by a company.
Largest contribution amounts first. Select Date of contribution or Amount to reverse the order.
Refunds remain negative. Memo-only rows are marked and are not additional money. Latest versions are selected within matching employer records; amendments that change the employer may affect the grouping.
Open full contribution table →Industry classification summary
Wasserman is a well-known global marketing and talent management agency. Verified research identifies its core services in branding and talent representation, categorizing it as Professional Services. The URL provided in research corresponds to their international operational domain.
AI-generated classification based on saved sources
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