Swell SWELL

Revenue fadingRank#72in Low payout▼2Score0

Revenue −66% over 30 days; paid to holders this week: 46% of the best week in 90 days ($900 against $7k).

Liquid Staking, Ethereum, 188 days of data

Low payout: less than $100k to holders in 30 days, or payouts on fewer than 8 of the 30 days (for a token that pays in cycles of a week or longer: more than one of the payouts its cycle predicts missed); ranked within this group

Market cap

$3.1M

price $0.0006 · 7d −4.6% · 30d −21.2%

FDV $5.3M (1.7× market cap)

source defillama

Buyback revenue / year

$31k

holders revenue of the last 30 days, $3k, × 365 ÷ 30

Buyback + burnbuyback share 93%

Buys back 1.0% of its market cap a year, using 93¢ of every $1 it earns.

Pays every ~9 days; next ~Nov 18. A week without a payout is normal for this token; holders revenue is measured over a whole cycle.

Multiple

101×

peer median 18.8× (Staking, 5 tokens), against 101× here

Run-rate

66.6×

last 7 days $900 × 52 = $47k a year

last week's payout to holders ran 1.5× the 30-day pace: the payout is speeding up

What we checked

Valuation
Multiple 101×, 5.4× more expensive than its Staking peers (median 18.8×, 5 tokens). The group's largest earner Lido trades at 18.8×: 5.4× dearer per dollar returned to holders. On total revenue: 78.9×, 4.5× dearer than the revenue peer median.
Distribution
Buyback + burn: Revenue buys the token on the market and the bought tokens are burned. Holders got $3k of $3k revenue in 36 days (whole payout cycles, the window the multiple uses) → buyback share 93%. DefiLlama: “No revenue share to SWELL token holders.”
Sustainability
Holders were paid on 4 days in the last 36 days, against the ~4 payouts its cycle predicts (100%) (pays every ~9 days; next ~Nov 18); largest single day 45% of the 36-day holders revenue; paid to holders over the last 36 days: 46% of the best 36-day stretch in 90 days (more than half below peak). Revenue new / from ~$0 over 7 days and −66% over 30 days, price −21% over 30 days.

What this does not tell you

The figures come from DefiLlama's adapter for each child protocol. Only a few tokens have an on-chain check (see How the buyback really works); for the rest, whether the tokens were really bought, burned or parked in a treasury wallet is not checked here. Unlocks count where DefiLlama or our research has a vesting schedule; team discretion and liquidity depth only once researched.

Flags

Pays every ~9 daysPays every ~9 days; next ~Nov 18. A week without a payout is normal for this token, not a stop. Holders revenue is measured over 36 days so a full cycle fits.
Payout >50% below peakthis week's holders revenue is 46% of its best week in the last 90 days ($7k)
Insufficient history187 days of data; g7 not computable yet and scored as neutral 50

How the buyback really works

Not researched yet. Everything above comes from DefiLlama and market data only.

Holders revenue / revenue (36d): $3k / $3k; last 36 days, whole payout cycles
To holders: Buys back 1.0% of its market cap a year
FDV / dilution: $5.3M / 1.7×; FDV ÷ market cap
Price 7d / 30d: −4.6% / −21.2%
Revenue growth 7d / 30d: new / from ~$0 / −66%; versus the period before
Divergence: 0.00; revenue growth minus price growth, 30d
DEX liquidity: $26k; DexScreener, representative pools
24h volume: $943k; all markets, CoinGecko
Unlocks 30d: $147k; DefiLlama vesting schedule
Revenue multiple: 78.9×; market cap ÷ revenue per year
Fee multiple: 3.9×; market cap ÷ fees per year
Distance to peak: 46%; last 36 days ÷ best 36 days of 90 days
Data since: May 9; first day with holders revenue

Holders revenue and price

Holders revenue per day7-day averagePrice (right axis)

Multiple over time

today 101× (scored) · peer median 18.8×

Market cap at close ÷ (holders revenue of the previous 30 days × 365 ÷ 30), with holders revenue capped at revenue and × the type factor: the same effective multiple as the peer median. Values above 100× are drawn at the top. Bands as on the meter; dashed line = peer median today.

Signal history

No signals for this token yet.

Versus peers

Staking (merged group) · 5 tokens · median multiple 18.8× · Lido is valued 82.4× higher. Per dollar that counts for holders, Swell is 5.4× dearer.

Main-ranking peers only. Multiples count holders revenue capped at revenue, × the type factor (buyback 1 · buyback + burn 1 · burn 0.75 · mixed 0.75 · distribution 0.5 · unclear 0.5 · ve-distribution 0.25).

This token against its main-ranking peers: multiple, revenue multiple, buyback share, holders revenue, market cap and revenue growth
Token	Distribution	Multiple	Revenue multiple	Buyback share	To holders 30d	Market cap	Rev. growth 30d
Marinade	Buyback	5.0×	2.5×	50%	$191k	$11.7M	−14%
SSV Network	Mixed	12.1×	9.1×	100%	$271k	$30.0M	−12%
Lidoleader	Buyback	18.8×	7.1×	37%	$0	$257.1M	−5%
Kinetiq	Mixed	77.8×	34.3×	59%	$133k	$94.7M	−37%
Swellthis token	Buyback + burn	101×	78.9×	93%	$3k	$3.1M	−66%

Score build-up0 of 100

Total score = 35% valuation + 25% momentum + 20% divergence + 20% quality − penalties, clamped to 0–100. Every number here can be recomputed from the figures on this page.

0of 100#72▼2top 96% one or more parts are the neutral 50

Valuation 0.0Momentum 12.5Divergence 0.0Quality 11.1penalties −25= -1.4

Valuation35%

0Valuation 0.0: HR half 0.0 (multiple 100.83×; 100 at ≤3×, 0 at ≥100×, log scale), revenue half 0.0 (revenue peer value 0.22×; 0 at ≤0.33×, 50 at 1×, 100 at ≥3×, log scale).Average of two halves. HR half: linear in log(multiple), 100 at ≤ 3×, 0 at ≥ 100×, 0 without effective HR. Revenue half: linear in log(revenue peer value), 0 at ≤ 0.33×, 50 at 1×, 100 at ≥ 3×; neutral 50 when the peer group falls back to the universe.

Momentum25%capped

50Momentum 50.0 (neutral): g7 unknown, g30 −1.066; missing history gives the neutral 50.m = 0.5·g7 + 0.3·ln(day jump, clamped ±1.5) + 0.2·g30; 0 at m ≤ −0.7, 50 at 0, 100 at ≥ 1.1. Neutral 50 when g7 or g30 is missing; a missing day jump counts as 0.

Divergence20%capped

0Divergence 0.0: d = g30 − p30 = 0.000; 0 at ≤0, 100 at ≥1.5.d = max(0, g30 − p30) when g30 > 0; 0 at d ≤ 0, 100 at d ≥ 1.5, linear.

Quality20%

55Quality 55.5: mean of days HR>0 100% → 100.0 (0 at ≤30%, 100 at ≥90%), largest day 45% of HR30 → 33.4 (0 at ≥60%, 100 at ≤15%), distance to peak 0.46 → 33.1 (0 at ≤0.25, 100 at ≥0.9).Average of: share of days with HR > 0 (0 at ≤ 30%, 100 at ≥ 90%), 1 − largest day ÷ HR30 (0 at ≥ 60%, 100 at ≤ 15%) and distance to peak (0 at ≤ 0.25, 100 at ≥ 0.9).

Penalty −15 (unlocks_above_hr30): unlocks next 30d $147k above HR30 $3k.
Penalty −10 (low_liquidity): DEX liquidity $26k below $250k and 24h volume $943k below $1.00M.

HR7 is below 50% of its 90-day peak: momentum and divergence are capped at 50. This is not a penalty; the distance already counts in quality.

Penalties−25

−15Unlocks in the next 30 days above HR30unlocks next 30d $147k above HR30 $3k

−10Liquidity below $250k (dex) or 24h volume below $1M (cex)DEX liquidity $26k below $250k and 24h volume $943k below $1.00M

8 rules not applied, 3 wait for research data.

Where the numbers come from

Revenue source: 2 active children; DefiLlama adapter per child
Price and market cap: defillama / defillama; latest fetch
Scored on: November 12, 2026; as-of date of the last compute run
On-chain verified: not yet; not checked yet

Protocols behind this token2 at DefiLlama

Per protocol: DefiLlama's methodology text, the distribution type we read from it and the sentence that decided it. The token takes the type of the protocol that returns the most to holders.

Swell Liquid Restaking
Liquid Restaking · Ethereum
type distribution · source text
“No revenue share to SWELL token holders.”
No revenue share to SWELL token holders.
adapter on GitHub ↗
Swell Liquid Staking
Liquid Staking · Ethereum
type buyback-burn · source label
“Token Buy Back: Executed SWELL buybacks tracked as SWELL transferred to the burn address excluding programmatic burns.”
Executed SWELL buybacks tracked as SWELL transferred to the burn address excluding programmatic burns.
Token Buy Back
Executed SWELL buybacks tracked as SWELL transferred to the burn address excluding programmatic burns.
adapter on GitHub ↗