July 2026 Retail Sales Fell 0.6%: Why the Consumer Slowdown Is Real but Not Yet a Collapse

U.S. retail sales fell more sharply than expected in July, but Prime Day timing and lower gasoline receipts distorted the headline. The control-group decline, weaker confidence and restrictive credit conditions still point to a genuine consumer slowdown rather than an outright collapse.

July 2026 retail sales fell 0.6%, a sharper reversal than economists expected and the first monthly decline in nine months. The headline looks like a clean signal that the American consumer is finally retreating. It is not that simple. July followed a June distorted by promotional events, tax-refund spending was fading, and lower gasoline receipts reduced the nominal total. Yet the details also contain a warning that cannot be dismissed as calendar noise: the retail “control group,” which feeds more directly into estimates of consumer spending in gross domestic product, fell 0.4%.

The right conclusion is therefore more nuanced than either “consumer collapse” or “nothing to see.” Spending is cooling, but it is cooling unevenly. Households are cutting back in categories that are easier to postpone, while still paying for selected experiences and essentials. The labor market has not broken, inflation has eased from its earlier peak, and aggregate balance sheets remain stronger than in a typical recession. At the same time, confidence is deteriorating, interest costs are still restrictive, and the cushion that supported demand earlier in the cycle is thinner.

For investors, the July report matters because it changes the quality of the growth debate. The question is no longer whether consumption can remain spectacularly resilient. It is whether slower demand can bring inflation down without pulling earnings and employment down with it.

What the July 2026 retail sales report actually showed

The U.S. Census Bureau’s monthly retail trade program measures sales at stores, restaurants and online merchants. It is a fast, useful indicator, but it is not a complete measure of household consumption because it excludes most services, including housing, health care and many personal services. The July figures still offered a broad cross-section of where consumers were becoming more selective.

According to the August 14 retail-sales release reported by Reuters, total sales dropped 0.6% from June. Economists had expected a 0.1% increase. The monthly decline was the largest in fourteen months, although sales remained 5.0% above their level a year earlier. That combination is important: the level of spending is not collapsing, but its near-term momentum has weakened abruptly.

Several categories pulled the total lower:

  • Nonstore retailers, a category dominated by online commerce, fell 2.2%.
  • Motor-vehicle and parts dealers declined 1.8%.
  • Electronics and appliance stores fell 0.5%.
  • Gasoline-station receipts declined 0.9%, partly reflecting prices rather than volumes.

There were meaningful pockets of strength. Clothing-store sales rose 1.9%, while spending at restaurants and bars increased 0.5%. The Associated Press noted that sales excluding gasoline and autos fell 0.2%. This was not a synchronized stop across every category. It was a rotation away from some big-ticket and online purchases, with selected discretionary services still holding up.

Why the 0.6% headline decline overstates the immediate damage

The cleanest explanation for part of July’s weakness is timing. Amazon’s Prime Day and competing promotions took place in June, pulling online demand forward. Consumers who bought electronics, household goods or other items during those discounts had less reason to repeat those purchases a few weeks later. A 2.2% decline at nonstore retailers is unusually large, and the promotional calendar offers a plausible reason why this category weakened more than underlying income alone would imply.

Tax refunds are another timing effect. Refunds can lift spending during the spring and early summer, especially for households with limited liquid savings. By July, much of that temporary support had been spent. Lower gasoline receipts also reduced nominal sales without necessarily indicating that drivers suddenly traveled much less. When prices at the pump fall, the retail-sales measure records fewer dollars even if the physical quantity purchased changes only modestly.

These distortions are why a single monthly headline should not be treated as a recession call. Retail sales are volatile, revisions are common, and the report covers goods more fully than services. The Bureau of Economic Analysis reported that real GDP grew at a 1.5% annualized rate in the second quarter and that consumer spending contributed to that expansion. A one-month retail decline does not erase an economy that was still growing entering the third quarter.

But timing effects do not make the report irrelevant. They explain why July was especially weak; they do not explain away every sign of moderation. The analytical task is to separate the temporary subtraction from the underlying loss of momentum.

The control group is the more important signal

The retail control group excludes volatile categories such as automobiles, gasoline, building materials and food services. Because it maps more closely onto the goods component of personal consumption expenditures, it is often more useful for tracking GDP than the headline number. In July, control-group sales fell 0.4%, compared with expectations for a 0.3% gain.

That miss is harder to attribute entirely to gasoline prices or a drop in auto purchases. It shows that core goods demand weakened beneath the headline. It also arrived after a long period in which consumers repeatedly outperformed cautious forecasts. The pattern suggests a transition from broad resilience to selective restraint.

Households do not usually cut every category at once. They first postpone purchases with flexible timing, trade down to cheaper alternatives, or concentrate spending around promotions. The simultaneous weakness in online sales, vehicles and electronics fits that sequence. Restaurant spending can remain positive because experiences are often prioritized even while larger purchases are deferred. Clothing can rise because seasonal needs and promotions operate on a different calendar.

This is why the composition of July sales matters more than the dramatic headline. Consumers still have the capacity to spend, but they appear less willing to spend indiscriminately. That change affects corporate pricing power and earnings differently across sectors.

July 2026 retail sales and the confidence problem

Hard spending data should be read alongside household expectations. The University of Michigan sentiment reading reported by Reuters fell to 51.0 in August from 55.2 in July, below the expected 54.5. One-year inflation expectations edged up to 4.3% from 4.2%, while five-year expectations remained at 3.3%.

Weak sentiment does not mechanically predict an immediate spending contraction. Americans have often said they felt bad about the economy while continuing to spend. However, confidence becomes more informative when it moves in the same direction as control-group sales and labor-market cooling. The three signals reinforce one another: consumers are more worried about future purchasing power, core retail demand has softened, and income growth is becoming less certain.

Inflation expectations add another constraint. If households expect prices to keep rising, they may front-load some purchases. But persistently high expected inflation can also make consumers more cautious because necessities absorb a larger share of income. The effect depends on balance sheets. High-income households with financial assets can often continue spending; lower- and middle-income households with revolving debt face a more immediate cash-flow trade-off.

That divergence helps explain why aggregate sales can remain positive from a year earlier even as the median household feels squeezed. The total is supported by those with more income and assets, while the marginal consumer becomes increasingly price-sensitive.

Interest rates are reaching the household cash-flow statement

Monetary policy works with long and uneven lags. The Federal Reserve’s policy rate is still in the 3.50%–3.75% range, and the cumulative effect reaches consumers through credit-card rates, auto loans, variable-rate borrowing and the opportunity cost of using savings. Mortgage holders with old fixed rates are partly insulated, but new buyers and renters face a different burden.

The July report suggests those lags are becoming visible. A 1.8% decline in motor-vehicle sales is consistent with affordability pressure, even though monthly figures are also affected by inventory and incentives. Electronics and other financed discretionary goods face a similar challenge. When the cost of carrying a balance remains high, a purchase must deliver more value to justify it.

This pressure interacts with inflation. The July producer-price report showed why services inflation remains central to the Fed debate. Goods demand may be slowing, but the central bank cannot declare victory if services prices and expectations remain sticky. That tension limits how quickly policy can respond to a softer consumer.

For households, the distinction between “rates are no longer rising” and “financial conditions are easy” is crucial. Even a steady policy rate can become more restrictive if income growth slows. Real debt-service costs rise relative to cash flow, and consumers become more deliberate. July’s category mix is consistent with that stage of the cycle.

Why this is not yet a consumer-collapse signal

Several stabilizers argue against extrapolating one weak month into a severe contraction.

First, employment remains the main foundation of consumer spending. The unemployment rate was 4.1%, according to the policy context summarized by Reuters. That is consistent with a labor market that has cooled, not one that has fallen apart. As long as most households keep receiving paychecks, aggregate spending can slow without collapsing.

Second, sales were still 5.0% higher than a year earlier in nominal terms. Inflation explains part of that increase, but the level does not resemble a sudden stop. Third, restaurants and clothing remained positive, showing that consumers were reallocating rather than universally retreating. Fourth, the June promotional pull-forward probably exaggerated July’s online decline.

Finally, the broader economy entered the quarter with positive growth. The BEA’s 1.5% second-quarter GDP estimate was not spectacular, but it provided a cushion. Economies often pass through soft patches without entering recession, especially when financial institutions remain stable and businesses have not begun broad layoffs.

The more accurate description is “late-cycle moderation.” Consumers are losing some momentum, and the risk of a negative feedback loop has increased, but the loop is not yet established. A collapse would require weakening sales to produce meaningful job cuts, which would then reduce income and cause a deeper fall in demand. July provides the first part of that sequence, not proof of the entire chain.

What the report means for the Federal Reserve

The Fed faces a two-sided problem. Keeping rates restrictive for too long could turn a manageable slowdown into a sharper contraction. Cutting too quickly could allow inflation expectations to rise and services inflation to persist. The July sales report pushes slightly toward caution on growth, but it does not settle the inflation question.

Reuters reported that policymakers remained divided, with cooler data strengthening the case for patience rather than forcing an immediate move. Market-implied odds favored no change at the September meeting. That response makes sense: the Fed needs to know whether July’s weakness is a one-off reversal after June promotions or the beginning of a multi-month trend.

The central bank will therefore focus on confirmation. A second weak control-group reading, softer payroll growth, slowing wage gains and further deterioration in sentiment would strengthen the case for easing. Renewed inflation pressure, resilient services spending or stronger income growth would argue for holding rates steady.

Investors should avoid treating a softer retail report as automatically bullish for bonds and equities. The market reaction depends on why demand is slowing. A gentle slowdown that reduces inflation while earnings remain intact supports lower yields and higher valuation multiples. A sharper slowdown that damages revenue and hiring can overwhelm the benefit of easier policy. The path matters more than the first step.

The earnings implications are highly uneven

Retail-sector exposure is not one trade. July’s category data separates companies with very different sensitivities.

Online marketplaces and parcel networks may face a difficult year-over-year comparison after promotional demand shifted into June. Investors should distinguish calendar effects from weaker customer acquisition, lower order frequency or smaller baskets. A disappointing July can be benign if August normalizes; it becomes more concerning if traffic and conversion remain weak across several months.

Automakers and dealers are more directly exposed to financing conditions. Incentives can support volumes, but they compress margins and may not fully offset high monthly payments. Electronics retailers face both promotional intensity and purchase deferral. Their results are likely to reveal whether households are merely waiting for discounts or abandoning upgrades altogether.

Restaurants offer a different test. July’s 0.5% increase indicates resilience, but nominal growth can coexist with falling traffic if menu prices rise. The strongest operators will be those that can maintain visits without relying on constant discounting. Clothing retailers benefited in July, yet the durability of that strength depends on inventory discipline and whether seasonal demand carries into the autumn.

This dispersion favors company-level analysis over broad sector assumptions. It also reinforces the lesson from the private-credit and leveraged-loan financing trap: businesses with fragile balance sheets have less room to absorb a modest revenue miss. A slow consumer slowdown can still create abrupt problems when refinancing needs are concentrated.

Markets need to separate rate relief from earnings risk

Equity markets often welcome weak macroeconomic data when it lowers expected interest rates. Lower bond yields can support valuations, particularly for long-duration growth stocks. But the benefit has limits. Consumer spending is a major source of corporate revenue, and a sustained slowdown ultimately reaches earnings estimates.

The Wall Street outlook reported by Reuters showed that strong earnings had continued to support stock prices even as investors debated the Fed’s next move. That creates a delicate setup. Valuations can remain elevated if companies defend margins and guidance. They become harder to justify if weaker consumption forces analysts to revise revenue assumptions lower.

The distinction is especially important after a period of record highs. As explained in our analysis of the 2026 stock-market record-high paradox, index strength can coexist with concentrated leadership and macroeconomic vulnerability. A softer consumer does not need to cause an index bear market to create meaningful drawdowns in exposed industries.

Bond markets face their own trade-off. Weaker demand lowers the risk that inflation stays elevated, but fiscal supply and term premiums can keep longer yields high. A retail-sales miss is therefore more likely to affect the front end of the curve than to guarantee a sustained rally in long maturities.

Three scenarios for the rest of the third quarter

1. Normalization after a promotional distortion

In the benign scenario, August online sales rebound as the Prime Day comparison fades, control-group spending returns to modest growth, and restaurant demand remains firm. Inflation continues to cool gradually, employment remains stable and the Fed stays patient. Third-quarter consumption slows from the second quarter’s 3.2% pace but remains near 2%.

This outcome would support a soft-landing narrative. Retailers with healthy inventories and strong value propositions would be best positioned, while broad recession trades would likely underperform.

2. A controlled consumer slowdown

In the central scenario, goods demand remains weak, services spending decelerates and consumers become more promotion-sensitive. Payroll growth slows without large job losses. Inflation improves, but not fast enough to prompt aggressive rate cuts. Real GDP remains positive but below trend.

This would be a stock-picker’s environment. Quality, balance-sheet strength and stable recurring demand would matter more than broad market direction. It would also keep the Fed debate alive because both inflation and employment risks would be material.

3. A negative feedback loop

In the downside scenario, weaker sales lead businesses to reduce hours and hiring, which lowers household income and produces another leg down in demand. Delinquencies rise, discounts widen and margins compress. The Fed gains room to cut, but policy easing arrives after earnings expectations have already deteriorated.

July alone does not establish this path. Investors should nevertheless watch for confirmation because the initial conditions—high borrowing costs, weaker confidence and selective spending restraint—are present.

How to avoid the most common analytical mistakes

The first mistake is to compare a nominal retail-sales number directly with a real GDP forecast. Retail sales are reported in current dollars, while real growth removes price effects. A category can post higher revenue because prices rose even when households purchased fewer units. Conversely, gasoline receipts can decline because prices fell while driving activity remains stable. Volume, price and mix must be separated before drawing a demand conclusion.

The second mistake is to treat every category as economically equivalent. Auto purchases are large, irregular and sensitive to financing. Grocery spending is frequent and defensive. Restaurants combine price, traffic and experience. Online sales span both essentials and discretionary goods. The aggregate number is useful, but the category pattern often provides the better map of household behavior.

The third mistake is to assume that a weaker consumer automatically produces immediate rate cuts. The Fed targets inflation and maximum employment, not retail sales. If services inflation and expectations remain elevated, policymakers may accept slower goods demand for longer than markets prefer. That is why the balance between weaker control-group sales and still-high inflation expectations matters.

Finally, investors should not confuse the average household with the marginal buyer. Aggregate spending can be sustained by high-income consumers even as indebted households retrench. Corporate results are shaped by who buys a company’s products, how purchases are financed and whether discounts are required. Distributional details can therefore matter more than the national total for a specific stock or credit.

The indicators that matter next

A disciplined interpretation of July 2026 retail sales requires a dashboard, not a single number.

  • August control-group sales: a rebound would support the timing-distortion explanation; another decline would confirm broader weakness.
  • Payrolls, hours and wage growth: income is the bridge between a soft patch and a true contraction.
  • Personal consumption expenditures: the BEA measure includes services and adjusts for prices, giving a fuller picture than retail sales alone.
  • Card delinquencies and bank lending standards: these show whether financial pressure is becoming self-reinforcing.
  • Retail traffic, units and inventories: nominal revenue can hide discounting, price effects and inventory problems.
  • Inflation expectations: a further rise would constrain the Fed even if spending slows.

The next policy decision should also be interpreted within the broader framework discussed in our September Fed outlook. One retail report can shift probabilities, but it cannot resolve the conflict between sticky prices and softer demand.

Bottom line: slower, more selective, still functioning

The July 2026 retail-sales decline is a genuine warning wrapped in a timing distortion. Prime Day pulled demand into June, gasoline prices reduced nominal receipts, and tax-refund support faded. Those factors make the 0.6% headline look worse than the underlying trend. The 0.4% decline in the control group, however, shows that the underlying trend also weakened.

The American consumer is not collapsing. Employment remains broadly intact, year-over-year sales are still positive, restaurants grew, and the economy entered the quarter with positive momentum. But consumers are becoming more selective, more sensitive to financing costs and less confident about future purchasing power. That is enough to reduce corporate pricing power and make earnings outcomes more dispersed.

For investors, the key is to resist binary narratives. A modest slowdown can be constructive if it lowers inflation without damaging jobs. The same slowdown becomes dangerous if weaker demand leads to weaker employment and a second fall in consumption. The evidence currently supports caution, not panic—and close attention to the August data.

To build the framework needed to connect consumer data, monetary policy, bond yields and company earnings, continue with the Block2Learn Learning Path. 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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ether-fi-staked-eth
ether.fi Staked ETH (EETH) $ 2,317.47 1.05%
apecoin
ApeCoin (APE) $ 0.140538 0.46%
coredaoorg
Core (CORE) $ 0.026061 4.50%
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 5.01%
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) $ 0.119181 1.12%
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) $ 2,498.78 1.64%
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) $ 0.118396 1.08%
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) $ 0.009836 1.66%
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 0.02%
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 (HOT) $ 0.000383 1.05%
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 1.25%
would
would (WOULD) $ 0.058646 5.30%
vine
Vine (VINE) $ 0.007629 2.47%
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) $ 0.012041 2.24%
zetachain
ZetaChain (ZETA) $ 0.032504 0.22%
uxlink
UXLINK (UXLINK) $ 0.000668 7.51%
ethereum-pow-iou
EthereumPoW (ETHW) $ 0.277943 2.15%
ankr
Ankr Network (ANKR) $ 0.004079 0.39%
akuma-inu
Akuma Inu (AKUMA) $ 0.000000093541 9.41%
tribe-2
Tribe (TRIBE) $ 0.38714 0.82%
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) $ 0.002676 1.56%
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) $ 0.012293 3.08%
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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