Pangolin PNG

Revenue fadingRank#54in Low payout▼4Score17

Revenue −57% over 30 days. Also: holders revenue is paid out, not a buyback.

Dexs, Avalanche, Monad, 193 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

$5.7M

price $0.0235 · 7d +1.6% · 30d −22.7%

FDV $12.7M (2.2× market cap)

source defillama

Counted per year

$7k

holders revenue of the last 30 days, $1k, × 365 ÷ 30, × type factor 0.5 (payouts count 50%)

Distributionbuyback share 80%

Pays out 0.3% of its market cap a year, using 80¢ of every $1 it earns.

Not a buyback: counts for 50% in the multiple (type factor 0.5), so the denominator is $7k instead of $14k.

Multiple

770×

peer median 23.9× (Dexs, 14 tokens), against 770× here

Run-rate

600×

last 7 days $353 × 52 × 0.5 (type factor) = $9k a year

last week's payout to holders ran 1.3× the 30-day pace: the payout is speeding up

What we checked

Valuation
Multiple 770× (type factor 0.5: payouts count 50%), 32.2× more expensive than its Dexs peers (median 23.9×, 14 tokens). The group's largest earner Uniswap trades at 36.6×: 21.1× dearer per dollar returned to holders. On total revenue: 307×, 18.4× dearer than the revenue peer median.
Distribution
Distribution: Revenue is paid out to stakers or holders (often in another asset); no buy pressure on the token. Holders got $1k of $1k revenue in 30 days → buyback share 80%. DefiLlama: “0.0425% of trade volume goes to token holders.”
Sustainability
Holders were paid on 30 of 30 days (100%); largest single day 11% of the month's holders revenue; paid to holders this week: 26% of the best week in 90 days (more than half below peak). Revenue +21% over 7 days and −57% over 30 days, price −23% 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

Payout >50% below peakthis week's holders revenue is 26% of its best week in the last 90 days ($1k)

How the buyback really works

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

Holders revenue / revenue (30d): $1k / $1k; last 30 closed days
To holders: Pays out 0.3% of its market cap a year
FDV / dilution: $12.7M / 2.2×; FDV ÷ market cap
Price 7d / 30d: +1.6% / −22.7%
Revenue growth 7d / 30d: +21% / −57%; versus the period before
Divergence: 0.00; revenue growth minus price growth, 30d
DEX liquidity: $284k; DexScreener, representative pools
24h volume: $418k; all markets, CoinGecko
Unlocks 30d: —; no unlock schedule for this token
Revenue multiple: 307×; market cap ÷ revenue per year
Fee multiple: 52.5×; market cap ÷ fees per year
Distance to peak: 26%; this week ÷ best week of 90 days
Data since: May 4; first day with holders revenue

Holders revenue and price

Holders revenue per day7-day averagePrice (right axis)

Multiple over time

today 770× (scored) · peer median 23.9×

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

Dexs · 14 tokens · median multiple 23.9× · Uniswap is valued 635.0× higher. Per dollar that counts for holders, Pangolin is 21.1× 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
Pharaoh Exchange	ve / bribes	0.3×	0.2×	100%	$1.3M	$2.4M	−53%
RamsesX	Mixed	0.7×	0.5×	90%	$347k	$2.2M	+8%
nest	Distribution	0.8×	0.4×	100%	$868k	$4.3M	+30%
up	ve / bribes	2.0×	1.0×	100%	$300k	$3.7M	−70%
Chainflip	Buyback + burn	5.6×	5.6×	100%	$536k	$36.3M	+56%
Aero	ve / bribes	8.0×	3.7×	96%	$7.4M	$352.3M	−8%
PancakeSwap	Buyback + burn	20.9×	13.6×	65%	$2.4M	$602.4M	−29%
Raydium	Buyback	27.0×	16.7×	62%	$1.3M	$421.9M	−65%
Curve Finance	ve / bribes	30.5×	11.1×	94%	$2.6M	$376.7M	+44%
Uniswapleader	Buyback + burn	36.6×	36.6×	100%	$8.2M	$3.59B	−19%
Aster	Buyback + burn	51.1×	∞	—	$2.7M	$1.71B	—
Orca	Buyback	52.2×	8.1×	15%	$120k	$77.1M	−37%
Meteora	Distribution	161×	4.7×	17%	$480k	$166.1M	−54%
Pangolinthis token	Distribution	770×	307×	80%	$1k	$5.7M	−57%

Score build-up17 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.

17of 100#54▼4top 72%

Valuation 0.0Momentum 8.4Divergence 0.0Quality 13.4penalties −5= 16.8

Valuation35%

0Valuation 0.0: HR half 0.0 (multiple 770.20×; 100 at ≤3×, 0 at ≥100×, log scale), revenue half 0.0 (revenue peer value 0.05×; 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

33Momentum 33.5: m = 0.5·g7 0.189 + 0.3·(ln(day jump 0.60) clamped ±1.5 = −0.519) + 0.2·g30 −0.851 = −0.231; 0 at ≤−0.7, 50 at 0, 100 at ≥1.1.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%

67Quality 67.2: mean of days HR>0 100% → 100.0 (0 at ≤30%, 100 at ≥90%), largest day 11% of HR30 → 100.0 (0 at ≥60%, 100 at ≤15%), distance to peak 0.26 → 1.6 (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 −5 (dilution_above_2): dilution ratio 2.30 above 2.

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−5

−5Dilution ratio above 2dilution ratio 2.30 above 2

9 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.

Pangolin V2
Dexs · Avalanche
type distribution · source text
“0.0425% of trade volume goes to token holders.”
0.0425% of trade volume goes to token holders.
adapter on GitHub ↗
Pangolin V3
Dexs · Avalanche, Monad
type distribution · source text
“10% Fees to PNG stakers”
10% Fees to PNG stakers
adapter on GitHub ↗