The 50 Most Connected Moving Companies in America: Van Line Networks vs Suspicious Clusters

Every moving company in America exists within a web of connections to other carriers. They share vehicles, officers, business addresses, and inspection locations. VektorTMS, a carrier intelligence platform, maps these connections across the entire FMCSA-registered universe. We analyzed 23,065 carriers and their connection data to understand what these networks look like, which ones are normal, and which ones raise serious questions.

The average carrier has 32.5 connections to other companies. The maximum is 5,085. That range, from a handful of links to thousands, tells very different stories depending on the type of connection and the companies involved.

The major van lines show moderate connection counts that reflect their agent-based business model. United Van Lines has 66 connections. North American Van Lines has 54. Allied Van Lines has 45. Atlas Van Lines has 34.

These numbers make sense. Van lines operate through networks of independent agents who carry their branding, use shared equipment pools, and appear on shared inspection records. A United agent in Denver and a United agent in Atlanta are connected through the parent network. Their shared VINs reflect trailers that move between agents seasonally. Their shared addresses may reflect regional hub locations.

This is how the legitimate long-distance moving industry works. An agent network of 50 to 100 connections is normal for a major van line. It does not indicate fraud. It indicates a functioning distribution system that has operated for decades.

At the top of the connection rankings, a different pattern emerges. American Movers and Aldrich Trucking each have exactly 5,085 connections. Central Moving and Storage has 5,084. Then a cluster of 12 companies all share exactly 3,543 connections: The Blind Spot, P Cullen and Son, Apollo Shipping, C&G Moving and Storage, SGS Stoneworks, Tristate Movers, SRJ Transport, Progressive Moving Company, Home Repairs, and Ranger Relocation.

The identical connection counts are the signal. When a dozen companies share the exact same number of connections, it strongly suggests they share the same underlying linkage point. They may all operate from the same inspection location, use the same equipment pool, or share officers across entities. The connection count becomes a cluster fingerprint.

Several of these company names are also notable. "The Blind Spot," "SGS Stoneworks," and "Home Repairs" are not names that suggest household goods moving. Their presence in carrier connection data, linked to thousands of other companies, raises questions about whether these entities serve a legitimate transportation purpose or exist primarily as nodes in a larger network.

A company with 5,000 connections is not necessarily committing fraud. Connection counts in VektorTMS reflect any traceable link between two carriers: a shared VIN that appeared on an inspection, a common officer name, an overlapping business address, or co-location at the same inspection site.

A carrier that operates from a large truck stop or inspection facility may be "connected" to every other carrier that has been inspected at the same location. That is a geographic coincidence, not a business relationship. Similarly, a common officer name like "John Smith" could generate false connections across unrelated companies.

The raw connection count is a starting point, not a conclusion. What matters is the quality and type of connections. A carrier connected to 50 others through shared VINs is telling a very different story than one connected to 5,000 others through a shared inspection location. The former suggests direct equipment sharing. The latter may just mean they park in the same lot.

Of the 23,065 carriers analyzed, 20,702 (89.7%) have 10 or more connections, classified as "very large network" in VektorTMS. 23,071 have 5 or more connections. Being highly connected is the norm, not the exception.

Connection data becomes genuinely useful when combined with other indicators. The patterns that matter are specific combinations, not raw numbers.

Shared officers combined with inactive authority and high connections indicates the chameleon carrier pattern. A person who appears as an officer on three different DOT numbers, where two have been revoked and one was just activated, is likely cycling through company identities to escape enforcement history. The connection count confirms the linkage. The authority status confirms the evasion.

Shared VINs between a revoked carrier and a newly authorized one indicate equipment transfer. When a company loses its operating authority and its trucks appear on inspections under a different DOT number within weeks, that is a direct signal that the same operation is continuing under a new name. This is one of the clearest fraud indicators in transportation data.

Among companies already flagged on Trunk, Two Men and a Truck shows 395 Vektor connections and SafeShield Moving Services shows 302. These are not extreme numbers, but when layered with complaint history and operational patterns, they add context to the overall risk picture.

The lesson from this data is that connection count alone is noise. Connection count plus authority status plus officer overlap plus complaint history is signal. The companies at the top of the connection rankings may be perfectly legitimate operations that happen to share infrastructure. Or they may be nodes in fraud networks that share everything. The connection data tells you where to look. The other indicators tell you what you have found.

Consumers cannot access VektorTMS directly, and they should not need to. But the patterns this data reveals have practical implications for anyone planning a move.

When a moving company you are considering shares officers, vehicles, or addresses with companies that have been shut down by FMCSA, that is a concrete risk factor. It means the people or equipment involved in your move may have a history that the company's current name does not reflect.

Trunk integrates Vektor connection data into mover profiles where it is available. If a company has connections to revoked carriers or appears in a cluster with suspicious entities, that information appears on their profile page. The goal is not to penalize companies for having connections. It is to surface the specific combinations of connections, authority changes, and complaint patterns that historically precede consumer harm.

The 23,065 carriers in this analysis represent a significant portion of the active household goods moving industry. Their connections map the real structure of how this industry operates: through shared equipment, shared people, shared locations, and in some cases, shared schemes.