elect.info
DATA COVERAGE not externally verified tier raw_mirror vintage 2026-08-27 coverage 1980-2024 · 2026 Midterms in flight! money live · figures computing (best estimates)
Dollar figures are still computing and reflect best estimates while the corrected-financial reconciliation completes. Relationships, counts, and dates are final.

Gottheim, Robert M

vendor

NEW YORK, NY

001,007,002,003

2 committees paid them505 payments

Active cycles: 2024,2022,2020,2018,2016,2014,2012,2010,2008,2006,2004

Committees served / cycle

Revenue concentration

leverage · by revenue
27.4%
top client · Nadler For Congress
82.8%
top 3 clients
100.0%
top 10 clients
Concentrated
the top 3 clients dominate this vendor's revenue
Nadler For Congress 27.4%
Nadler For Congress 28.4%
Nadler For Congress 27.0%
Nadler For Congress 15.1%
Manhattan Political Action Committee (Manhattan Pac) 1.8%
Manhattan Political Action Committee (Manhattan Pac) 0.4%

Each client's share of this vendor's total revenue (disbursement dollars). The "captured vendor" signal — how dependent a vendor is on its largest clients.

Clients' race outcomes

not yet available

Race-by-race outcomes for this vendor's clients aren't shown yet -- they need election results data (by office, cycle, and stage) joined to the FEC/TEC candidates this vendor was paid by, which isn't wired into the warehouse yet. When it lands, this section will show three separate counts (by race, dollar-weighted, and competitive-races-only) for campaign-pay and independent-expenditure-pay separately -- never a single win rate, and never counted as a win for uncontested or write-in races.

CommitteePaidPaymentsCycles
Nadler For Congress $68,000 49 2018
Nadler For Congress $70,535 48 2024
Nadler For Congress $67,145 39 2022
Nadler For Congress $37,410 29 2020
Manhattan Political Action Committee (Manhattan Pac) $4,500 2 2018
Manhattan Political Action Committee (Manhattan Pac) $940 1 2020

Disbursements from each committee to this vendor.

Vendor disbursement recipient · corrected FEC disbursement data.