US Corporate Profits Surge $400.9 Billion: Why Flat Real Spending Makes the Margin Boom Fragile

US corporate profits surged $400.9 billion, but flat real spending and sticky inflation make the margin boom more fragile than the headline suggests.

US corporate profits rose by $400.9 billion in the second quarter, according to the Bureau of Economic Analysis, even as the latest monthly data showed real consumer spending essentially stalled in July. Those figures can coexist, but they do not describe an economy in which every company is thriving. They describe a late-cycle distribution problem: aggregate profit income is expanding faster than the household demand that must ultimately validate many earnings expectations.

The same-day releases sharpened that tension. The BEA’s second estimate of second-quarter GDP left annualized real growth at 1.5%, raised real final sales to private domestic purchasers to 4.2%, and reported that profits from current production increased by $400.9 billion after a $74.4 billion gain in the first quarter. Yet the July income and spending report showed real personal consumption expenditures rising by less than 0.1%, with goods spending falling while services absorbed the entire nominal increase.

Markets initially treated the data as another interest-rate question. Headline PCE inflation was 3.7% from a year earlier, core PCE was 3.3%, and Reuters reported that the implied probability of a September Federal Reserve increase moved higher. That interpretation is reasonable, but incomplete. The deeper issue is not simply whether the policy rate rises by 25 basis points. It is whether today’s elevated US corporate profits are supported by repeatable volume growth, or by price, mix, financial income, operating leverage and sector concentration that become more fragile when real spending stops advancing.

What the $400.9 billion increase in US corporate profits actually measures

The BEA measure is broader than the earnings season familiar to equity investors. Profits from current production include corporations across the economy, not only listed members of the S&P 500. The measure adjusts reported profits for inventory valuation and capital consumption so that the national accounts can compare business income with current economic production. It is therefore useful for judging the profit share of the economy, but it is not interchangeable with generally accepted accounting principles earnings, earnings per share or the operating margin reported by a specific company.

That distinction prevents two common mistakes. The first is to divide $400.9 billion by the market capitalization of public equities and treat the result as a valuation signal. The second is to assume every sector received a proportional lift. Aggregate profits can rise because a small number of capital-intensive or globally exposed industries improve sharply, because inventory costs move favorably, because domestic and foreign income diverge, or because nominal revenue grows faster than wages and other expenses. A broad national-accounts increase says that the corporate sector captured more income. It does not say that the median company enjoys the same economics.

The timing also matters. The profit figure covers April through June, whereas the spending release describes July. The comparison is not a claim that profits and consumption moved in opposite directions in the same statistical window. It is a transition signal. Companies entered the third quarter with a strong aggregate income base, while households began the quarter with almost no increase in real consumption. If that July pause proves temporary, strong profits can be the foundation for investment and hiring. If it persists, the second-quarter profit surge becomes a demanding benchmark rather than a durable trend.

Corporate profits also tend to be more cyclical than household income. A modest change in sales can produce a much larger change in profit when fixed costs are already covered. That operating leverage works in both directions. It can turn stable demand and disciplined expenses into an apparently spectacular quarter, then reverse quickly when volumes soften or discounts return. Investors should therefore read the $400.9 billion increase as evidence of current earnings power and as a measure of how much earnings power may be exposed to a slower consumer.

Flat real spending changes the quality of the margin boom

Nominal PCE increased 0.2% in July, but prices also rose 0.2%. After inflation, real spending was essentially unchanged. The composition was more revealing than the rounded total. Current-dollar spending on services increased by $86.2 billion, while goods spending fell by $49.9 billion. That pattern is consistent with an economy in which households continue paying for housing, health care, insurance, transport and other services while becoming more selective about discretionary goods.

This confirms the caution in Block2Learn’s analysis of the July retail-sales decline. A consumer slowdown does not require a collapse in employment or an abrupt recession. It can begin as substitution: fewer goods, more essential services; cheaper brands, smaller baskets; delayed purchases, lower financing demand and less willingness to accept another price increase. Aggregate spending can look stable while competitive conditions deteriorate for businesses that sell optional products.

For margins, this distinction is decisive. A company can defend revenue against inflation by raising prices, but it cannot indefinitely raise prices without testing demand. If nominal sales grow because of price rather than volume, the apparent resilience contains less operating momentum than the income statement suggests. Once customers trade down or defer purchases, promotions return. Gross margins then face pressure precisely when fixed costs, interest expense and wage commitments remain.

The services side is not automatically safer. Many services are recurring or difficult to postpone, which supports revenue stability, but they are also labor-intensive. Health care, leisure, business services and financial services can experience wage pressure even when household demand weakens. Block2Learn’s examination of July producer prices showed how service inflation can remain sticky after goods pressures cool. A services-heavy spending mix can therefore sustain inflation without delivering the volume acceleration that would justify broad earnings upgrades.

Why the income data are stronger than the spending data

Personal income rose 0.4% in July and disposable personal income increased 0.5%. Real disposable income advanced 0.4%, a superficially encouraging result. The saving rate rose to 3.0% from 2.7%. One interpretation is constructive: households received more after-tax purchasing power, chose to rebuild a little saving, and may spend more later. Another interpretation is defensive: households preserved cash because confidence in jobs, prices or financing conditions weakened. The next two releases will help distinguish those stories.

The labor data argue against both complacency and panic. The Bureau of Labor Statistics reported that July payroll employment changed little, while the unemployment rate held near 4.1%. Participation slipped, employment in retail and financial activities weakened, and multiple jobholding remained elevated. A stable unemployment rate can coexist with fragile household confidence when labor-force participation falls or when the available jobs are concentrated in different sectors from the ones losing momentum.

The corporate sector sees these crosscurrents before they appear in aggregate layoffs. Hiring plans can slow, open positions can remain unfilled, overtime can fall and variable compensation can be reduced. None of those steps immediately creates a recession headline. Together, however, they weaken the feedback loop from profits to household income. A profit expansion is most durable when it finances capital expenditure, productive employment and real wage growth. It is less durable when it remains concentrated in cash-rich companies while consumers rely on price-sensitive spending decisions.

The saving-rate increase deserves special attention because 3.0% remains low by historical standards. Households have not accumulated a large new cushion. A modest rise in saving can therefore restrain discretionary demand without creating the balance-sheet resilience associated with a much higher savings pool. For retailers, restaurants, travel businesses and consumer lenders, the difficult combination is not mass deleveraging. It is a customer base that still spends, but demands more value and has less room for error.

Sticky inflation makes the Federal Reserve a profit variable

The Federal Reserve’s July decision kept the federal-funds target at 3.5% to 3.75%, but three officials preferred a quarter-point increase. The FOMC statement described inflation as elevated relative to the 2% goal and emphasized strong productivity and capital investment. July’s 3.7% headline PCE reading gives the hawkish dissent more evidence, even though monthly inflation of 0.2% was not an acceleration consistent with a new price spiral.

For companies, the policy debate works through more channels than interest expense. A higher short rate raises the opportunity cost of inventories, customer receivables and acquisitions. It increases the return investors can earn without taking equity risk. It can support the dollar, lowering translated foreign earnings for U.S. multinationals. It can also reduce the present value of distant cash flows even when next quarter’s earnings remain intact.

The long end of the curve may matter even more. Block2Learn’s analysis of the 30-year Treasury auction at 5.22% showed that long-term financing can stay expensive even when investors expect eventual policy relief. Fiscal supply, inflation uncertainty and competition for capital determine the clearing yield. A company with excellent current margins but a long-duration investment program must still fund itself against that market price.

This is particularly important for technology and infrastructure. The artificial-intelligence investment cycle has created powerful demand for chips, data centers, power equipment and networking capacity. But as Block2Learn argued in its analysis of the long bond as an AI capital tax, higher duration costs force companies to rank projects more aggressively. The strongest firms can self-fund; weaker participants must borrow or issue equity. Aggregate corporate profits may rise while the cost of financing the next wave of growth also rises.

The market risk is concentration, not an immediate earnings collapse

A $400.9 billion profit increase would normally support equities. Higher earnings can offset a higher discount rate, finance buybacks and reduce leverage. The problem is concentration. If the gain is dominated by a limited set of technology, energy, financial or globally diversified firms, the index can appear healthier than the median business. Market-capitalization-weighted benchmarks then embed two bets at once: that leaders maintain extraordinary margins and that their investment spending continues supporting suppliers.

That concentration is not inherently irrational. Scalable software, semiconductor design, advertising platforms and certain financial businesses can generate high incremental margins. Their cash flows may be less tied to one month of U.S. goods consumption than those of a retailer. Yet no company is completely detached from final demand. Advertising depends on sellers expecting customers; cloud workloads depend on enterprise budgets; capital expenditure depends on expected returns; credit quality depends on borrower income. The connection can be delayed, but not abolished.

Investors should therefore separate a profit-level thesis from a profit-breadth thesis. The level can remain high because leading firms are genuinely productive. Breadth can deteriorate because smaller companies face higher funding costs, weaker pricing power and less access to capital. When breadth narrows, the index becomes more sensitive to any disappointment from its largest constituents. Strong aggregate US corporate profits can paradoxically increase fragility when they encourage investors to pay a premium for fewer sources of growth.

The most useful evidence will come from revisions and cash-flow details, not headline earnings beats. Watch revenue growth excluding acquisitions, unit volumes, accounts receivable, inventory days, interest coverage and the difference between operating cash flow and adjusted earnings. A business producing real cash from repeat customers can survive a slower economy. A business defending guidance through working-capital releases, capitalized costs or aggressive adjustments deserves a larger risk premium.

Sector implications: where the divergence matters first

Consumer-discretionary companies face the clearest test. Flat real spending and lower goods demand favor firms with strong brands, low-cost distribution and the ability to offer value without destroying margin. Businesses dependent on financed purchases face an additional hurdle because elevated rates raise monthly payments even when sticker prices stabilize. The risk is not that every consumer stops spending. It is that promotional intensity rises and the marginal customer becomes unprofitable.

Financial companies receive mixed signals. Higher rates can support net interest income, but deposit competition, weaker loan growth and rising delinquencies can offset that benefit. The decline in financial-activities employment is not proof of a credit event, but it suggests institutions are already managing capacity. Banks with diversified fee income and conservative funding should separate from lenders dependent on rapid balance-sheet expansion.

Industrials can benefit from public and private capital spending even if household goods consumption stalls. Orders tied to power grids, data centers, defense and reshoring may remain firm. Their vulnerability lies in project timing and financing. A high backlog is valuable only when customers have the capital and regulatory certainty to convert orders into revenue. Investors should distinguish funded projects from aspirational pipelines.

Technology leaders remain the strongest part of the profit story, but expectations are also highest. High margins, recurring revenue and net cash are genuine advantages. The valuation question is whether incremental AI and cloud spending produces incremental free cash flow on the timetable embedded in market prices. If the consumer slows while corporate capital spending remains strong, technology can continue leading. If financing costs force project delays, the market may discover that even exceptional businesses were priced for an exceptional duration.

Three scenarios for profits, spending and the discount rate

Base case: margins normalize while growth remains positive

Real spending resumes modest growth after the July pause, service inflation cools slowly and the Fed remains restrictive without delivering a sequence of aggressive increases. Corporate profits stay high but grow more slowly as wage, interest and promotional costs absorb part of revenue. Market returns broaden only selectively. Quality balance sheets and companies with visible cash conversion outperform businesses dependent on multiple expansion.

Favorable case: income becomes volume and productivity protects margins

The rise in real disposable income leads to stronger consumption, the saving rate rebuilds without suppressing demand, and productivity allows companies to pay workers more without raising prices. Inflation drifts lower, long yields stabilize and capital expenditure expands. In this case the second-quarter profit increase is not a peak. It is the first evidence that productivity, investment and household income can reinforce one another.

Adverse case: inflation stays sticky while demand loses volume

Real spending remains flat or contracts, but service and supply-side inflation keep PCE above target. The Fed raises rates, long yields remain high and companies lose pricing power. Revenue slows before fixed costs adjust, turning operating leverage negative. Profit expectations fall most sharply among lower-quality consumer, credit and long-duration growth companies. The economy does not need an immediate recession for equities to reprice; a decline in the expected duration and breadth of profits is enough.

What investors should monitor next

The first indicator is real PCE, particularly the split between goods and services. A rebound in goods volume would show that July was a pause rather than a regime change. The second is real disposable income and the saving rate. Income growth paired with a gradual rise in saving is constructive; income growth paired with falling real spending and deteriorating confidence is defensive.

The third indicator is profit breadth. National accounts provide the aggregate, while earnings calls reveal which industries and business models are contributing. Track median revenue growth, small-company earnings revisions and the share of firms expanding margins. The fourth is cash conversion. If operating cash flow keeps pace with reported income, the profit signal is credible. If receivables and inventories rise faster than sales, caution is warranted.

The fifth indicator is the shape of the Treasury curve. A higher policy rate affects short-term funding; a persistent long-end premium affects mortgages, corporate bonds, infrastructure and equity duration. Finally, monitor labor-force participation, payroll revisions, hours worked and sector hiring. A low unemployment rate is valuable, but it is not a complete description of household income security.

The Block2Learn assessment: profits are strong, but their burden of proof increased

The correct conclusion is not that the $400.9 billion increase is illusory. It is a real and economically important improvement in corporate income. Strong profits can fund investment, innovation, dividends and employment. They also provide a buffer against slower demand. The mistake would be to treat the aggregate increase as evidence that household weakness, inflation and financing costs no longer matter.

July changed the burden of proof. Companies must now show that margins can survive without continuous price increases and that investment can produce returns above a higher cost of capital. Investors must show that valuations do not require every favorable condition—strong demand, sticky pricing, falling inflation and cheaper funding—to occur simultaneously. The best businesses may satisfy that test. The broad market cannot assume it has already been passed.

US corporate profits are therefore a source of resilience and a concentration risk. The same aggregate strength that supports the index can hide weaker volume, narrower breadth and greater dependence on a small number of leaders. The decisive next signal will not be one Federal Reserve meeting or one earnings report. It will be whether real household demand begins to validate the income already recorded by the corporate sector.

Portfolio implications: demand proof matters more than headline strength

For portfolio construction, the divergence argues for a barbell between proven cash generators and assets that benefit if inflation eventually cools, rather than a blanket bet on either growth or recession. Equity selection should favor companies whose US corporate profits are supported by unit growth, recurring demand and low refinancing needs. Bond exposure should distinguish front-end policy risk from long-end fiscal and term-premium risk. Cash remains strategically useful because it allows investors to respond when the market reprices a company whose earnings quality was weaker than its headline margin.

This is also a reason to avoid treating defensive labels as guarantees. A consumer-staples company can have stable demand but an expensive valuation and weak volume. A technology company can have a high multiple but a net-cash balance sheet and unusually strong free-cash-flow conversion. A bank can benefit from higher rates but suffer from deposit costs and credit normalization. The relevant question is not which sector sounds defensive. It is which cash flows remain defensible after inflation, financing and household demand are considered together.

International diversification deserves the same discipline. U.S. multinationals may report strong US corporate profits while a firmer dollar reduces translated revenue. Foreign companies may benefit from cheaper currencies but face higher imported inflation or local funding costs. Currency exposure, revenue geography and debt denomination can change the result more than the company’s listing venue. Investors should trace the economic source of earnings instead of assuming a domestic ticker represents a domestic cash flow.

Most importantly, valuation must be connected to the scenario it requires. A reasonable multiple can survive slower growth if cash generation is durable. A premium multiple needs either stronger growth, a lower discount rate or exceptional certainty. July’s data made all three less automatic. That does not demand an immediate reduction in equity exposure. It demands a more explicit price for uncertainty and a clearer distinction between aggregate US corporate profits and the earnings power of each security.

Continue Through the Block2Learn Learning Path

Understanding this divergence requires more than following headline GDP or quarterly earnings. Investors need a framework that connects nominal and real spending, operating leverage, cash conversion, monetary policy, duration and portfolio concentration. The Block2Learn Learning Path develops those connections from foundational market concepts through capital allocation, risk management and a complete investment process.

Free Start introduces the language needed to separate economic data from market narratives. Foundation and the Investor Operating System build a repeatable way to compare evidence, expectations and price. Wealth Strategy connects household cash flow and saving to the same capital-allocation discipline used to analyze companies. The objective is not to predict every data release. It is to recognize when a strong aggregate number conceals a weaker transmission mechanism.

Information is abundant. Structure is rare.

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OASIS

Investor and entrepreneur with a focus on jewelry, e-commerce, and blockchain technologies. Founder of Block2Learn, a platform dedicated to educating on crypto, NFTs, and decentralized finance. Passionate about empowering others through innovative investments in digital assets and traditional industries.

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helium
Helium (HNT) $ 0.232533 8.68%
frax
Legacy Frax Dollar (FRAX) $ 0.99069 0.17%
akash-network
Akash Network (AKT) $ 0.550783 1.06%
compound-governance-token
Compound (COMP) $ 19.52 0.60%
meow
MEOW (MEOW) $ 0.000007 5.87%
usdx-money-usdx
Stables Labs USDX (USDX) $ 0.009526 0.00%
ecash
eCash (XEC) $ 0.000007 2.57%
chiliz
Chiliz (CHZ) $ 0.014232 1.05%
wormhole
Wormhole (W) $ 0.009531 1.53%
amp-token
Amp (AMP) $ 0.000443 2.96%
ultima
Ultima (ULTIMA) $ 2,290.19 2.47%
eigenlayer
EigenCloud (prev. EigenLayer) (EIGEN) $ 0.200489 3.96%
pumpbtc
pumpBTC (PUMPBTC) $ 76,077.00 2.54%
deep
DeepBook (DEEP) $ 0.014048 0.79%
resolv-usr
Resolv USR (USR) $ 0.118972 0.94%
pancakeswap-token
PancakeSwap (CAKE) $ 1.72 0.39%
pax-gold
PAX Gold (PAXG) $ 4,632.71 0.42%
gigachad-2
Gigachad (GIGA) $ 0.002776 5.15%
mina-protocol
Mina Protocol (MINA) $ 0.061779 0.12%
gnosis
Gnosis (GNO) $ 121.44 0.09%
pendle
Pendle (PENDLE) $ 1.73 0.28%
bitcoin-avalanche-bridged-btc-b
Avalanche Bridged BTC (Avalanche) (BTC.B) $ 76,260.00 3.16%
beldex
Beldex (BDX) $ 0.080893 1.84%
echelon-prime
Echelon Prime (PRIME) $ 0.244893 4.14%
zksync
ZKsync (ZK) $ 0.008608 2.20%
paypal-usd
PayPal USD (PYUSD) $ 0.999936 0.00%
havven
Synthetix (SNX) $ 0.227094 0.52%
coinbase-wrapped-staked-eth
Coinbase Wrapped Staked ETH (CBETH) $ 2,539.40 3.57%
true-usd
TrueUSD (TUSD) $ 0.998201 0.01%
stakestone-berachain-vault-token
StakeStone Berachain Vault Token (BERASTONE) $ 2,503.04 1.99%
axelar
Axelar (AXL) $ 0.041225 1.16%
tbtc
tBTC (TBTC) $ 70,942.00 7.49%
apenft
AINFT (NFT) $ 0.000000257058 6.35%
snek
Snek (SNEK) $ 0.000413 2.16%
mog-coin
Mog Coin (MOG) $ 0.00000011932 1.54%
telcoin
Telcoin (TEL) $ 0.001837 1.71%
toshi
Toshi (TOSHI) $ 0.000131 1.04%
dydx
dYdX (ETHDYDX) $ 0.117994 1.41%
kava
Kava (KAVA) $ 0.045494 0.21%
polygon-pos-bridged-weth-polygon-pos
Polygon PoS Bridged WETH (Polygon POS) (WETH) $ 2,261.63 3.58%
newton-project
AB (AB) $ 0.000977 0.24%
notcoin
Notcoin (NOT) $ 0.000426 3.46%
chex-token
Chintai (CHEX) $ 0.00986 1.36%
bridged-usdc-polygon-pos-bridge
Polygon Bridged USDC (Polygon PoS) (USDC.E) $ 0.99972 0.00%
vethor-token
VeThor (VTHO) $ 0.000402 7.41%
frax-ether
Frax Ether (FRXETH) $ 2,262.16 2.20%
1inch
1INCH (1INCH) $ 0.089702 0.55%
trust-wallet-token
Trust Wallet (TWT) $ 0.452206 2.73%
quantixai
Quantix Finance (QFI) $ 24.99 25.53%
grass
Grass (GRASS) $ 0.368858 11.32%
stader-ethx
Stader ETHx (ETHX) $ 2,455.55 2.19%
superfarm
SuperVerse (SUPER) $ 0.111341 3.00%
terra-luna
Terra Luna Classic (LUNC) $ 0.000054 0.87%
sweth
Swell Ethereum (SWETH) $ 2,521.55 3.25%
safe
Safe (SAFE) $ 0.092948 3.23%
livepeer
Livepeer (LPT) $ 1.41 0.47%
hashnote-usyc
Circle USYC (USYC) $ 1.14 0.01%
usdb
USDB (USDB) $ 1.00 0.35%
creditcoin-2
Creditcoin (CTC) $ 0.088651 1.46%
theta-fuel
Theta Fuel (TFUEL) $ 0.009011 1.56%
oasis-network
Oasis (ROSE) $ 0.006066 2.47%
super-oeth
Super OETH (SUPEROETH) $ 2,263.65 2.59%
aixbt
aixbt (AIXBT) $ 0.020949 0.07%
kusama
Kusama (KSM) $ 3.58 2.63%
bio-protocol
Bio Protocol (BIO) $ 0.028463 2.36%
layerzero
LayerZero (ZRO) $ 1.15 2.00%
blur
Blur (BLUR) $ 0.016126 1.82%
dash
Dash (DASH) $ 38.89 2.10%
cat-in-a-dogs-world
cat in a dogs world (MEW) $ 0.000424 1.25%
ordinals
ORDI (ORDI) $ 4.27 4.15%
solayer-staked-sol
Solayer Staked SOL (SSOL) $ 112.14 4.30%
io
io.net (IO) $ 0.137195 0.95%
ondo-us-dollar-yield
Ondo US Dollar Yield (USDY) $ 1.14 0.11%
freysa-ai
Freysa AI (FAI) $ 0.002924 2.89%
arkham
Arkham (ARKM) $ 0.11409 3.36%
turbo
Turbo (TURBO) $ 0.001005 1.44%
popcat
Popcat (POPCAT) $ 0.057769 1.48%
binance-peg-busd
Binance-Peg BUSD (BUSD) $ 1.00 0.05%
olympus
Olympus (OHM) $ 18.01 0.80%
dog-go-to-the-moon-rune
Dog (Bitcoin) (DOG) $ 0.001309 1.69%
nervos-network
Nervos Network (CKB) $ 0.001008 4.34%
astar
Astar (ASTR) $ 0.005568 1.11%
just
JUST (JST) $ 0.100572 0.83%
compound-wrapped-btc
cWBTC (CWBTC) $ 1,534.90 2.99%
mx-token
MX (MX) $ 1.75 3.55%
zilliqa
Zilliqa (ZIL) $ 0.002743 0.65%
verus-coin
Verus (VRSC) $ 0.237864 12.82%
melania-meme
Melania Meme (MELANIA) $ 0.113351 8.30%
holotoken
holo (HOLO) $ 0.000013 3.12%
ai-rig-complex
AI Rig Complex (ARC) $ 0.070473 2.78%
origintrail
OriginTrail (TRAC) $ 0.335095 5.31%
liquid-staked-ethereum
Liquid Staked ETH (LSETH) $ 2,406.26 2.78%
polygon-bridged-wbtc-polygon-pos
Polygon Bridged WBTC (Polygon POS) (WBTC) $ 76,130.00 3.08%
0x
0x Protocol (ZRX) $ 0.099521 2.78%
baby-doge-coin
Baby Doge Coin (BABYDOGE) $ 0.00000000037662 2.23%
ether-fi
Ether.fi (ETHFI) $ 0.571119 0.27%
safepal
SafePal (SFP) $ 0.263558 0.94%
staked-frax-ether
Staked Frax Ether (SFRXETH) $ 2,589.68 3.62%
aethir
Aethir (ATH) $ 0.005008 1.07%
golem
Golem (GLM) $ 0.112673 5.07%
basic-attention-token
Basic Attention (BAT) $ 0.067689 0.64%
swissborg
SwissBorg (BORG) $ 0.178291 1.82%
skale
SKALE (SKL) $ 0.003897 1.04%
wemix-token
WEMIX (WEMIX) $ 0.199056 1.09%
mocaverse
Moca Network (MOCA) $ 0.008462 5.29%
xyo-network
XYO Network (XYO) $ 0.003693 14.81%
gas
Gas (GAS) $ 1.46 16.56%
celo
Celo (CELO) $ 0.07712 0.95%
benqi-liquid-staked-avax
BENQI Liquid Staked AVAX (SAVAX) $ 12.58 0.25%
qtum
Qtum (QTUM) $ 0.883677 4.43%
spell-token
Spell (SPELL) $ 0.000086 0.87%
would
would (WOULD) $ 0.058646 5.30%
vine
Vine (VINE) $ 0.007488 0.43%
zencash
Horizen (ZEN) $ 5.20 0.36%
woo-network
WOO (WOO) $ 0.01158 1.86%
iotex
IoTeX (IOTX) $ 0.002969 5.34%
bridged-wrapped-ether-starkgate
Bridged Ether (StarkGate) (ETH) $ 2,241.79 5.41%
resolv-wstusr
Resolv wstUSR (WSTUSR) $ 1.13 0.06%
siacoin
Siacoin (SC) $ 0.000647 0.81%
bybit-staked-sol
Bybit Staked SOL (BBSOL) $ 112.08 4.42%
plume
Plume (PLUME) $ 0.014272 6.18%
osmosis
Osmosis (OSMO) $ 0.036403 5.11%
vana
Vana (VANA) $ 0.980902 1.00%
griffain
GRIFFAIN (GRIFFAIN) $ 0.01205 2.22%
zetachain
ZetaChain (ZETA) $ 0.032504 0.22%
uxlink
UXLINK (UXLINK) $ 0.000656 9.20%
ethereum-pow-iou
EthereumPoW (ETHW) $ 0.277943 2.15%
ankr
Ankr Network (ANKR) $ 0.004079 0.39%
akuma-inu
Akuma Inu (AKUMA) $ 0.000000093778 10.36%
tribe-2
Tribe (TRIBE) $ 0.387363 0.93%
ravencoin
Ravencoin (RVN) $ 0.00328 1.61%
enjincoin
Enjin Coin (ENJ) $ 0.026516 1.77%
peanut-the-squirrel
Peanut the Squirrel (PNUT) $ 0.051792 0.57%
elixir-deusd
Elixir deUSD (DEUSD) $ 0.000977 0.00%
memecoin-2
Memecoin (MEME) $ 0.000551 2.71%
aelf
aelf (ELF) $ 0.062916 6.84%
anime
Animecoin (ANIME) $ 0.002682 1.94%
constellation-labs
Constellation (DAG) $ 0.007087 5.26%
polymesh
Polymesh (POLYX) $ 0.03507 3.48%
convex-finance
Convex Finance (CVX) $ 2.42 19.05%
drift-protocol
Drift Protocol (DRIFT) $ 0.012302 3.07%
sats-ordinals
SATS (Ordinals) (SATS) $ 0.000000011927 3.02%
venice-token
Venice Token (VVV) $ 17.60 0.78%
qubic-network
Qubic (QUBIC) $ 0.0000004179 0.68%
coinex-token
CoinEx (CET) $ 0.012181 0.86%
peaq-2
peaq (PEAQ) $ 0.024106 14.05%
threshold-network-token
Threshold Network (T) $ 0.003704 1.30%
stepn
GMT (GMT) $ 0.007228 0.13%
usda-2
USDa (USDA) $ 0.967102 0.00%

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