Net Listing Agreements in Real Estate


Net listing agreement visualization

A net listing agreement is a type of real estate contract between seller and seller’s broker. The contract specifies a minimum price for your property, and the broker’s commission is any amount above that price that your broker can sell the property for. For example, if a net listing agreement specifies a minimum price of $300,000, and the property ends up selling for $350,000, then the seller’s broker would earn a $50,000 commission. However, if the property only sells for $310,000, then the seller’s broker would only earn a $10,000 commission.

Net listing agreements are illegal in 47 U.S. states since the the minimum price is usually suggested by the broker, which represents a conflict of interest between the broker and the seller (the broker is incentivized to recommend a lower minimum price in order to earn a higher commission).

There are currently only 3 states where net listing agreements are legal: California, Florida, and Texas. However, even those states legally restrict when net listing agreements can be used. In California and Texas, net listing agreements can only be used if the seller is “sophisticated” in real estate. In Florida, a net listing agreement can only be used if a real estate attorney is representing the seller’s best interests when the agreement is signed.

Furthermore, even if a seller meets the conditions to use a net listing agreement in a state where such agreements are not illegal, the listing broker may not be able to use a net listing agreement if they are a realtor. That’s because the National Association of Realtors (NAR) generally considers net listing agreements to be unethical and restricts realtors’ use of them. That means if a seller wanted to use such an agreement, they would likely have to find a real estate broker who is not a member of NAR (i.e. not a realtor).

Ricky Nave

In college, Ricky studied physics & math, won a prestigious research competition hosted by Oak Ridge National Laboratory, started several small businesses including an energy chewing gum business and a computer repair business, and graduated with a thesis in algebraic topology. After graduating, Ricky attended grad school at Duke University in the mathematics PhD program where he worked on quantum algorithms & non-Euclidean geometry models for flexible proteins. He also worked in cybersecurity at Los Alamos during this time before eventually dropping out of grad school to join a startup working on formal semantic modeling for legal documents. Finally, he left that startup to start his own in the finance & crypto space. Now, he helps entrepreneurs pay less capital gains tax.

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