Top 100 Most Efficient Insurance Brokerages

Ranked by revenue per employee — who generates the most with the least?

Revenue: Insurance Journal Top 100 P/C Agencies 2025 Employee counts: Individually researched with sources

In tech, revenue per employee is the standard efficiency metric. Apple generates ~$2.4M per employee. Google, ~$1.8M. The best AI startups push past $1M/employee before Series B. Insurance — with 2.8 million U.S. employees — rarely measures itself this way.

We ranked every company in Insurance Journal's Top 100 P&C agencies by a single metric: revenue per employee. The result is the industry's first efficiency leaderboard.

Employee counts were individually researched from PitchBook, ZoomInfo, LinkedIn, company websites, and press releases. Each source is linked. The table is sorted by revenue per employee — the most efficient brokerages are at the top.

Nuances: Employee counts are company-wide (not P&C-specific) · State cost-of-living differences affect what each dollar means internally · PE holdcos, agent networks, and MGAs are flagged as outliers · This is a living dataset — if you have better numbers, reach out.
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# Company State Employees P&C Revenue Total Revenue Rev / Employee

Methodology

  • Revenue from Insurance Journal's 2025 Top 100 P/C Independent Agencies ranking.
  • Employee counts individually sourced from PitchBook, ZoomInfo, LinkedIn, company sites, and press releases. Each source linked per row.
  • Ranked by revenue per employee — not by total revenue. Use the sort options above to switch between Rev/Employee, IBJ Rank, and Employees.
  • Accession (#8) has anomalous "Other Revenue" of $39.2B — likely a source data error. P&C rev/employee is still valid.
Outlier — PE holdco, agent network, or MGA; rev/emp may not reflect actual operations Acquired — M&A activity in 2025-2026 Bank subsidiary — insurance arm of a bank holding company

Contribute to this dataset

If you have verified headcount for any company listed here — or know an agency that should be on this list — email [email protected]. This is a living dataset and we update it with verified numbers.