This year exposed the truth: Buybacks only work when the numbers are real.$1.4๐ ๐ฉ๐ข๐ด ๐ฃ๐ฆ๐ฆ๐ฏ
Projects have spent a combined $145.93 million on average each month on token buybacks this year.
But, ๐๐ก๐ฒ ๐๐จ ๐ฉ๐ซ๐จ๐ฃ๐๐๐ญ๐ฌ ๐๐จ ๐๐ฎ๐ฒ๐๐๐๐ค๐ฌ?
โขBy removing tokens from circulation either via burns or locking, buybacks can create scarcity, potentially supporting or stabilizing price.
โขRevenue is used for buybacks, which reduces the token supply and gives holders a clearer connection between the protocolโs cash flow and the tokenโs value.
โขSome protocols accumulate tokens to use later for growth, incentives, liquidity, or strategic initiatives.
โขRepurchased tokens can be used for staking rewards or other incentives, encouraging user engagement and long-term holding.
๐๐ก๐ ๐๐ซ๐จ๐ฃ๐๐๐ญ๐ฌ ๐๐จ๐ข๐ง๐ ๐๐ฎ๐ฒ๐๐๐๐ค๐ฌ:
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โข @HyperliquidX (HYPE) has spent $644.6 million this year to repurchase 21.36 M HYPE which accounts for 2.1% of supply averaging $65.5 M per month.
HYPE token buybacks have averaged $65.50 million a month in revenue spending, ranging from as low as $39.14 million in March, to as high as $110.62 million in August. The average HYPE buyback price is around $30.18 so far.
The sheer scale and consistency created persistent buy pressure, compressed float, and indicates a revenue-backed tokenomics.
HYPE became the poster-child of the buyback system.
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โข @Pumpfun (PUMP) has spent $138M to repurchase its token, $PUMP, since July this year which equals 3% of supply, the recurring buybacks are supported by platform revenues.
Pumpfun has spent an average of $40.47 million per month to repurchase PUMP.
They converted their memecoin launchpad fees into recurring buys, They turned speculative hype into a recurring supply sink which helped stabilize price and reduced circulating supply during volatile periods.
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โข @LayerZero_Core (ZRO) did a one-off $150M buyback to repurchase 5% of total ZRO supply from early investors.
This massive buyback removed a meaningful chunk of supply at once which in turn stabilized price, reducing potential selling pressure from early investors and signalling long-term alignment.
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โข @Raydium (RAY) is a Solana DEX and it leads as the project with the largest token buyback-and-burn spending of $100.35 million.
Unlike the top three token buybacks which were only implemented this year, the programmatic RAY token buybacks have been in place since 2022.
By funneling DEX fee revenue into buybacks and burns, Raydium helped support scarcity, improved staking/yield mechanics, and aligned token supply with actual usage.
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โข @SkyEcosystem (SKY) since its launch in February, Sky Protocol's programmatic token buybacks have accumulated 5.4% of total supply using $78.82 million in surplus revenue YTD,
This makes it the third highest share of supply that has been repurchased.
SKY token buybacks have seen spending fluctuate between $2.96 million and $18.31 million a month, averaging $9.68 million
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While these projects above have enjoyed the buyback system and it has really help them thrived, there are some other projects who are also using this system but it hasn't really moved the needle for them
โข @JupiterExchange (JUP)aAllocated 50% of protocol fees to buybacks starting Feb this year. Since then, they have spent $57.85M on tokens and have repurchased 117M $JUP which amounts to 1.68% of the circulating supply.
Despite buybacks, JUP remained under pressure.
Weak demand and tough conditions meant the supply sinks didnโt help much even big allocations couldnโt lift the price back up.
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โข @jito_sol (JTO) completed an initial $1M buyback in late Q3 which was executed and the DAO has moved to allocate protocol revenue toward continued repurchases, Jito has since then 520k of the JTO supply which equals to 0.05% of the supply
Even though they did this, $JTO remained under pressure in several windows. Market commentary concluded that the buyback size was too small relative to float/liquidity to create a durable price floor.
It was therefore perceived as necessary signaling but insufficient to reverse the downtrend by itself.
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โข @aave (AAVE) Aaveโs DAO approved a $50M annual buyback program.
This is a large, revenue-backed commitment that improved long-term framing for AAVE holders.
However, price action remained correlated to macro factors like ETH correlation, lending market cycles, and the program, while constructive for capital allocation, it did not shield AAVE from broader market drawdowns.
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โข @ether_fi (ETHFI) has a new proposal recently authorizing up to $50M from treasury to buy back ETHFI if price goes below $3
As a newly approved plan, no significant on-chain evidence yet of execution so the market hasnโt rewarded it.
Demonstrates that intent alone isn't equal to impact, executions matter a lot.
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๐๐ก๐๐ญ ๐ญ๐ก๐ข๐ฌ ๐ฌ๐ก๐จ๐ฐ๐ฌ ๐๐ง๐ ๐ฐ๐ก๐๐ญ ๐ญ๐จ ๐ฐ๐๐ญ๐๐ก ๐ ๐จ๐ข๐ง๐ ๐๐จ๐ซ๐ฐ๐๐ซ๐
โข Small buybacks rarely move the supply curve. Protocols that spent tens or hundreds of millions (like Hyperliquid, Pumpfun, LayerZero) showed real results.
โข Consistency matters more than headlines . A one-off $150M buyback like ZRO can shift supply but only recurring, revenue-backed buybacks build long-term credibility.
โข Even aggressive buybacks can have limited effect if token supply is huge, liquidity deep, or demand weak.
โข Programs with public dashboards or verified on-chain buys like Hyperliquid and the EtherFi proposal build trust but the market values action, not just promises.
โข When combined with real product usage, token utility, and growth, buybacks amplify value. Alone, they risk being just PR theatre.
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๐๐จ๐ง๐๐ฅ๐ฎ๐ฌ๐ข๐จ๐ง:
๐๐ฉ๐ช๐ด ๐บ๐ฆ๐ข๐ณ ๐ฑ๐ณ๐ฐ๐ท๐ฆ๐ฅ ๐ฐ๐ฏ๐ฆ ๐ด๐ช๐ฎ๐ฑ๐ญ๐ฆ ๐ต๐ณ๐ถ๐ต๐ฉ: ๐ฃ๐ถ๐บ๐ฃ๐ข๐ค๐ฌ๐ด ๐ฐ๐ฏ๐ญ๐บ ๐ฎ๐ข๐ต๐ต๐ฆ๐ณ ๐ธ๐ฉ๐ฆ๐ฏ ๐ต๐ฉ๐ฆ ๐ง๐ถ๐ฏ๐ฅ๐ข๐ฎ๐ฆ๐ฏ๐ต๐ข๐ญ๐ด ๐ข๐ณ๐ฆ ๐ณ๐ฆ๐ข๐ญ.
๐๐ฉ๐ฆ ๐ฑ๐ณ๐ฐ๐ต๐ฐ๐ค๐ฐ๐ญ๐ด ๐ธ๐ช๐ต๐ฉ ๐ด๐ถ๐ด๐ต๐ข๐ช๐ฏ๐ฆ๐ฅ, ๐ณ๐ฆ๐ท๐ฆ๐ฏ๐ถ๐ฆ-๐ฃ๐ข๐ค๐ฌ๐ฆ๐ฅ ๐ฃ๐ถ๐บ๐ด ๐ด๐ข๐ธ ๐ณ๐ฆ๐ด๐ถ๐ญ๐ต๐ด; ๐ต๐ฉ๐ฆ ๐ฐ๐ฏ๐ฆ๐ด ๐ณ๐ฆ๐ญ๐บ๐ช๐ฏ๐จ ๐ฐ๐ฏ ๐ด๐ฎ๐ข๐ญ๐ญ ๐ฐ๐ณ ๐ด๐บ๐ฎ๐ฃ๐ฐ๐ญ๐ช๐ค ๐ฃ๐ถ๐บ๐ฃ๐ข๐ค๐ฌ๐ด ๐ฅ๐ช๐ฅ๐ฏโ๐ต ๐ฎ๐ฐ๐ท๐ฆ ๐ต๐ฉ๐ฆ ๐ฎ๐ข๐ณ๐ฌ๐ฆ๐ต.
๐๐ฐ๐ช๐ฏ๐จ ๐ง๐ฐ๐ณ๐ธ๐ข๐ณ๐ฅ, ๐ต๐ฉ๐ฆ ๐ฐ๐ฏ๐ญ๐บ ๐ฃ๐ถ๐บ๐ฃ๐ข๐ค๐ฌ๐ด ๐ต๐ฉ๐ข๐ต ๐ค๐ฐ๐ถ๐ฏ๐ต ๐ข๐ณ๐ฆ ๐ต๐ฉ๐ฆ ๐ฐ๐ฏ๐ฆ๐ด ๐ฑ๐ข๐ช๐ณ๐ฆ๐ฅ ๐ธ๐ช๐ต๐ฉ ๐ณ๐ฆ๐ข๐ญ ๐ฅ๐ฆ๐ฎ๐ข๐ฏ๐ฅ, ๐ณ๐ฆ๐ข๐ญ ๐ถ๐ด๐ข๐จ๐ฆ, ๐ข๐ฏ๐ฅ ๐ณ๐ฆ๐ข๐ญ ๐ฆ๐น๐ฆ๐ค๐ถ๐ต๐ช๐ฐ๐ฏ. ๐๐ท๐ฆ๐ณ๐บ๐ต๐ฉ๐ช๐ฏ๐จ ๐ฆ๐ญ๐ด๐ฆ ๐ช๐ด ๐ฏ๐ฐ๐ช๐ด๐ฆ.
Your thoughs?
