Executive Overview
Global employee-initiated theft intelligence across 70 industry sectors — 2024–2026 data
Financial Impact Analysis
Research-verified financial loss data per sector from authoritative 2024–2026 sources
| # | Sector | Annual Loss | Avg Loss/Case | Median Loss | Risk | Source | Conf. |
|---|
Perpetrator Profile Analysis
Demographics, motivations, and behavioral patterns of employee theft perpetrators across all sectors
Detection Methods & Red Flags
Behavioral, operational, and technical indicators of employee theft across all sectors
| # | Sector | Red Flags | Detection Methods | View |
|---|
Emerging Threats (2025–2026)
New and evolving employee theft vectors identified through 2025–2026 research
| # | Sector | Threat | View |
|---|
Organized Crime Connections
Links between employee theft and organized criminal networks across all sectors
| # | Sector | Crime Connections | Patterns | View |
|---|
All 70 Sectors — Comprehensive View
Complete sector-by-sector breakdown with drill-down to full detail
| # | Sector Name | Avg Loss/Case | Annual Loss | Cases | Red Flags | Threats | Risk | Source | View |
|---|
Data Sources & Methodology
All financial data and statistics are sourced from authoritative 2024–2026 reports
| Source | Organization | Year | Sectors Covered | URL |
|---|
Data sourced directly from primary authoritative reports (ACFE, FBI, IBM, Ponemon) with specific sector statistics.
Data sourced from secondary reports, industry estimates, or cross-sector averages applied to specific sectors.
Data estimated from analogous sectors or limited available reporting. Should be treated as indicative only.