Aptos hits a new quarterly high as token burn rate accelerates
thestreet.com
07 July 2026 21:45, UTC
Aptos ($APT) is burning more of its own token than ever before, and the numbers behind that milestone tell a bigger story about the blockchain network's growth.
A high-performance layer-1 blockchain, Aptos is built for speed, scalability, and low-cost transactions.
Originally developed by former Meta engineers who worked on the Diem project, it launched its mainnet in October 2022 and has since grown into one of the most active networks for real-world asset tokenization, DeFi, and institutional finance applications.
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How the burn mechanism works
Every transaction on Aptos generates a fee, and every fee is burned, meaning the $APT token used to pay it is permanently removed from circulation.
This is not optional or selective. It is built into the protocol. The more the network is used, the less $APT exists.
$APT metrics
Aptos has by now burned cumulative 1.4 million $APT tokens since mainnet launch, a milestone that reflects years of compounding network activity.
In fact, 235,200 $APT tokens were burned in the last 30 days alone, one of the highest monthly burn rates the network has recorded.
At the same time, the network hit a new quarterly high of 16 million transactions in a single day, a signal that usage is not just growing but accelerating.
Despite a 10-fold increase, the average transaction fee remains just $0.0005, keeping Aptos among the most affordable networks for high-frequency applications.
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The burn mechanism ties network activity directly to token supply.
As more applications, from tokenized funds to onchain prediction markets to AI-driven infrastructure, run on Aptos, the burn rate increases and the total supply decreases. Growth on the network and scarcity of the token move in the same direction.
$APT metrics
Aptos has a total supply of 1.2 billion tokens.
With 1.6 million $APT emitted per month and 235,200 tokens burned during the same period, the burn rate currently offsets roughly 15% of new emissions, a figure that rises as the network scales.