German Investment in the US Falls as Tariff Uncertainty Raises the Cost of Commitment

German direct investment in the United States fell to €4.3 billion in H1 2026. The decline does not signal an exit from America; it shows how tariff uncertainty is delaying irreversible equity commitments while existing German operations continue to reinvest and generate value.

German investment in the US has fallen sharply enough to turn a trade-policy argument into a measurable capital-allocation signal. German companies invested only €4.3 billion in the United States during the first half of 2026, according to calculations by the German Economic Institute, or IW, based on Deutsche Bundesbank data. That was nearly two-thirds less than in the same period of 2025, almost 80% below the first half of 2024 and the weakest first-half result in three years.

The immediate temptation is to read the decline as a verdict on the American economy. That interpretation is too simple. German groups still own a large base of factories, subsidiaries and financial assets in the United States. They are still reinvesting profits and supporting existing operations. What has weakened most visibly is the willingness to commit fresh equity capital to projects that are expensive, long-lived and difficult to reverse.

That distinction is the real story. The United States can remain an attractive operating market while becoming a less predictable destination for the next incremental euro of German capital. Tariffs do not need to make a project permanently unprofitable to delay it. They only need to make waiting more valuable than committing today.

German Investment in the US: What the Latest Data Actually Show

The numbers reported on August 16 are severe. Reuters reported that German direct investment in the United States dropped to €4.3 billion in the first six months of 2026. The same first-half measure averaged €15.8 billion between 2015 and 2019, before the pandemic disrupted global investment cycles. The current flow is therefore not only weak relative to the recent boom. It is also far below a calmer pre-pandemic baseline.

Flow data can be volatile, and one six-month period should never be treated as a permanent structural break. Large transactions, internal corporate financing and the timing of acquisitions can move the series abruptly. IW itself has previously warned that monthly figures require care. Yet the direction has persisted long enough to deserve attention. In early 2025, IW observed that German companies had invested only about €265 million in the United States during February and March, compared with a long-run average of roughly €4.6 billion for those two months. Its explanation was not the disappearance of American demand. It was the loss of planning reliability.

The H1 2026 result extends that pattern. It suggests that corporate boards are not merely reacting to a single tariff announcement. They are applying a higher uncertainty premium to projects whose returns depend on rules that could change during construction, qualification or ramp-up.

Why a Collapse in New Equity Is Different From an Exit

Foreign direct investment is not one homogeneous stream. It can include new equity capital, reinvested earnings and loans between related companies. Those components answer different economic questions. New equity tells us whether a parent company is willing to put additional risk capital behind a new plant, acquisition or expansion. Reinvested earnings tell us whether an existing operation is profitable enough to retain and deploy cash locally. Intercompany loans can reflect treasury management as much as strategic conviction.

The latest German figures are therefore more nuanced than the headline “investment collapse” may imply. Existing German businesses in America continue to reinvest profits, according to the IW analysis. That means the installed base still generates value. It also means that companies have not broadly concluded that the United States is commercially unviable.

The hesitation is concentrated around fresh commitments. This is exactly where policy uncertainty should appear first. A company can keep an existing factory running while postponing a second production line. It can service American customers from its current footprint while delaying a new regional headquarters. It can retain earnings inside a profitable subsidiary while refusing to transfer additional parent-company equity until tariff schedules, local-content rules and bilateral trade arrangements become more stable.

For investors, this distinction matters because stock and flow data can point in opposite directions without contradicting each other. The Bundesbank reported that German companies held more than €460 billion of direct investment in the United States at the end of 2024. That large stock can coexist with a sharp slowdown in new flows. One measures the accumulated past; the other measures the current appetite to expand.

The Option Value of Waiting

The cleanest way to understand the pullback is through the option value of waiting. A factory, logistics hub or specialized laboratory is an irreversible investment. Once the capital is spent, the machinery is installed and the workforce is trained, management cannot recover the full cost simply by changing its mind. The project becomes exposed to whatever trade rules, tax treatment and supply-chain constraints exist after the decision.

When policy is stable, the required return can be estimated with reasonable confidence. When policy changes frequently, the distribution of possible outcomes widens. A 15% tariff may be manageable if it is durable and clearly defined. A lower tariff can be more damaging if firms believe it may be replaced, expanded or linked to new conditions before a multi-year project reaches full capacity.

In that environment, waiting becomes an asset. Delaying a decision preserves the ability to invest later after uncertainty resolves. The board sacrifices some near-term growth but avoids locking itself into a cost structure that could become obsolete. This logic is especially powerful for German manufacturers, whose U.S. projects often involve complex supplier networks, imported machinery, regulatory certification and long depreciation schedules.

This is why tariff uncertainty can reduce investment even when current sales remain strong. The relevant question is not “Can the project earn money today?” It is “Does the project still clear the hurdle rate across a credible range of policy regimes?” If the answer is unclear, capital moves to maintenance, incremental efficiency improvements or jurisdictions with better visibility.

Tariffs Change More Than the Import Price

Tariffs are usually described as a tax on imported goods. For a multinational investment committee, however, they affect a much wider map. They can change the relative cost of importing components, producing locally, serving neighboring markets and repatriating cash. They can also alter the bargaining position of suppliers and the economics of automation.

A German machinery company considering a U.S. plant must decide which parts will be sourced domestically, which will cross the Atlantic and which can be redesigned. An automaker must evaluate vehicle tariffs alongside steel, electronics, batteries and rules of origin. A chemical producer must combine trade policy with energy costs, permitting and logistics. Each new condition adds another branch to the model.

The effect is not necessarily a simple retreat from America. In some cases, tariffs can encourage local production by making imports more expensive. But that incentive works only when companies trust the durability of the rulebook. If a firm fears that a tariff designed to encourage U.S. production could later be supplemented by taxes on imported equipment, tighter local-content rules or retaliatory European measures, the apparent benefit can disappear.

Block2Learn’s earlier analysis of European stock-market volatility highlighted how trade uncertainty can combine with energy and financing pressure. The investment data now add a harder signal: companies are not only adjusting forecasts. They are withholding capital.

The $600 Billion Pledge Meets Corporate Reality

The decline is particularly revealing because it sits beside a much larger political commitment. The 2025 U.S.–EU trade framework said European companies were expected to invest an additional $600 billion in strategic American sectors through 2028. The joint statement presented this as evidence of confidence in the transatlantic partnership.

But a political pledge is not the same thing as a binding corporate capital budget. Governments can announce an aggregate ambition. They cannot order independent companies to approve projects that do not meet internal risk-adjusted return thresholds. The more uncertain the trade regime becomes, the larger the gap can grow between headline commitments and realized FDI.

This does not make the pledge meaningless. It establishes a diplomatic target and can guide sector agreements, permitting support and public incentives. It may also include projects that were already under consideration. But investors should treat it as a scenario, not as cash already committed. The relevant evidence will be project announcements, equity transfers, construction starts, equipment orders and employment growth.

The European Commission notes that EU and U.S. firms hold about €4.8 trillion in each other’s markets and that EU-owned businesses employ roughly 2.4 million people in the United States. Those figures demonstrate the depth of the relationship. They also show why marginal flows matter. A mature investment corridor does not collapse when new spending slows, but its growth rate, technology transfer and future job creation can weaken.

The United States Is Still a Major German Corporate Platform

The American market remains too large, innovative and profitable for German industry to ignore. Official U.S. data reinforce this point. The Bureau of Economic Analysis reported that the total foreign direct investment position in the United States rose to $5.86 trillion at the end of 2025. German multinationals produced the largest country-level increase during the year, adding $49 billion. Measured by the ultimate beneficial owner, Germany’s position stood at $706.2 billion, the third largest after Japan and Canada.

Those stock numbers do not invalidate the H1 2026 flow decline. They explain its significance. German companies have substantial exposure to U.S. consumers, industrial demand, technology networks and dollar revenues. A slowdown from such an embedded investor is more informative than a pullback by a country with little existing presence.

The stock-flow contrast also helps investors avoid a false binary. The story is neither “German business is abandoning America” nor “nothing has changed because the stock is still large.” The more accurate conclusion is that incumbent assets remain valuable while the threshold for adding new capacity has risen.

That pattern can persist for years. A company may keep harvesting cash from established operations while allowing them to age. Productivity growth then slows, supplier ecosystems receive fewer orders and the destination loses future optionality. The economic damage appears gradually rather than through a dramatic wave of closures.

Which Sectors Are Most Exposed?

Manufacturing sits at the center of German foreign investment. The Bundesbank’s consolidated data show €587 billion of German outward FDI in manufacturing at the end of 2024, more than any other operating sector except the broad financial and insurance category’s separate role in corporate structures. That makes autos, machinery, chemicals and electrical equipment the natural transmission channels.

Automakers face the most visible tariff exposure because vehicles and parts cross borders repeatedly and large plants require multibillion-euro commitments. Machinery companies face a subtler problem: the equipment used to localize production may itself be imported from Germany. Chemical producers must combine tariff assumptions with energy prices, environmental rules and access to feedstocks. Electrical-equipment groups are exposed to the interaction between industrial policy, infrastructure demand and domestic-content requirements.

The capital-intensity of these sectors makes uncertainty unusually expensive. A software company can redirect hiring or cloud capacity relatively quickly. A factory cannot be moved without substantial loss. Long-lived assets therefore demand a more stable policy horizon.

The comparison with the global AI buildout is useful. In our analysis of South Korea’s AI chip capital cycle, the key signal was not a narrative but a measurable commitment to physical capacity. The German-U.S. story is the inverse: attractive narratives about reindustrialization are colliding with a decline in realized capital flow.

What the Pullback Means for U.S. Growth

Foreign direct investment contributes more than financing. A multinational project brings machinery, supplier relationships, technical standards, management expertise and access to global distribution. The local economic effect can therefore exceed the initial equity transfer.

If German projects are delayed, the immediate U.S. impact may be modest because existing affiliates remain active. The larger cost appears in the future production path. Fewer construction orders, slower hiring and delayed capacity additions reduce the economy’s ability to absorb demand without inflation. A tariff policy intended to accelerate domestic production can become self-defeating if uncertainty prevents the investment needed to build that production.

This is especially relevant when policymakers want allies to localize supply chains in strategic sectors. Resilience requires redundant capacity, but redundancy is expensive. Companies will only finance it when the expected strategic benefit exceeds the cost of operating multiple networks. Unpredictable tariffs raise that cost.

The labor-market effect also depends on the type of project. A new advanced-manufacturing plant may employ fewer people than a traditional factory, but it can generate skilled engineering jobs and supplier demand. The loss of one large project can therefore matter disproportionately to a region even if national investment totals remain high.

What It Means for Germany and Europe

For Germany, withholding U.S. investment is not automatically positive. Capital that does not cross the Atlantic may be redirected to domestic factories, Eastern Europe or Asia. But it may also remain on corporate balance sheets, fund buybacks or disappear into incremental efficiency spending. A lower U.S. flow does not guarantee a European investment renaissance.

Germany’s challenge is particularly difficult because its industrial model is exposed to weak domestic growth, costly energy, Chinese competition and trade friction. Companies cannot simply wait everywhere. They must choose which risks are tolerable and which markets justify irreversible capital.

Europe could benefit if it offers more predictable permitting, power infrastructure and capital-market depth. But it should not confuse relative stability with absolute competitiveness. A company may delay an American project without approving a European alternative. The capital can remain idle until one jurisdiction offers a sufficiently attractive combination of demand, cost and policy visibility.

This is one reason European equity sensitivity differs from the United States. Our analysis of stock-market resilience during the Iran shock showed that European industrial earnings are more exposed to imported energy and external trade. A transatlantic investment slowdown adds another layer: German firms may lose future American growth while still facing weaker conditions at home.

Three Scenarios for the Next 12 Months

1. Policy stabilization unlocks delayed projects. If tariff schedules, exemptions and local-content rules become durable, companies can update their models and approve investments that were paused rather than canceled. In this scenario, FDI flows rebound before the stock data show much change. Machinery orders and construction announcements would be the earliest confirmation.

2. Uncertainty persists, but existing operations keep compounding. German affiliates continue reinvesting earnings while parent companies avoid major new equity transfers. The U.S. remains a profitable market, but capacity growth slows. This is the most consistent extension of the current pattern and would produce a widening gap between a large installed base and weak incremental investment.

3. Trade friction escalates into strategic reallocation. If tariffs broaden or retaliation intensifies, postponed projects are redirected to Europe, Mexico, Canada or Asia. Existing U.S. assets may continue operating, but new supply chains are designed around other jurisdictions. This would be a more durable structural change and could weaken the $600 billion European investment ambition materially.

Investors should not assign equal probabilities mechanically. The point of the scenario framework is to identify observable markers. Policy text, not political rhetoric, determines the first scenario. Reinvestment data and subdued equity transfers define the second. Canceled projects, asset sales and redirected capital expenditures confirm the third.

The Indicators Investors Should Watch

  • The composition of FDI flows. A rebound driven only by intercompany loans is less convincing than renewed equity investment.
  • Factory and acquisition announcements. Large projects reveal whether boards are converting diplomatic confidence into capital budgets.
  • German machinery exports to the United States. Equipment shipments can lead production capacity and therefore offer an early signal.
  • Tariff durability. Stable rules can support investment even when rates remain economically meaningful.
  • Reinvested earnings. Continued reinvestment would confirm that installed U.S. operations remain attractive.
  • European alternatives. Rising domestic or regional capex would show that delayed American investment is being reallocated rather than simply withheld.
  • Supplier and labor data. Construction activity, skilled hiring and local procurement reveal the real economy beneath FDI aggregates.

The OECD’s investment framework emphasizes transparency and an open policy environment for a reason. Capital is not attracted only by low tax rates or large markets. It is attracted by a rulebook that can survive the life of the asset.

Why Flow Quality Matters for Markets

Equity investors should also distinguish between capital that preserves an existing business and capital that expands its future earnings capacity. Maintenance spending can keep production stable, but it rarely creates the same operating leverage as a new plant or product line. If German affiliates continue to generate cash while parent companies withhold expansion capital, reported earnings may remain resilient for several quarters even as the long-term growth pipeline deteriorates.

Bond investors face a different transmission channel. Delayed projects can reduce near-term borrowing needs and support corporate free cash flow, which may appear credit-positive. Yet prolonged underinvestment can weaken competitiveness and make future catch-up spending more expensive. The same decision can therefore support short-term balance-sheet metrics while reducing strategic value.

Currency markets may interpret the signal through relative growth expectations. A sustained fall in productive European investment into the United States could reduce future dollar demand at the margin, but weaker German corporate expansion would also weigh on the euro-area outlook. The direction is not mechanical. What matters is whether capital is redirected into Europe, held as liquidity or committed elsewhere.

This is why the quality of the flow matters more than a single aggregate. Investors should reward a rebound led by new equity, construction and productive equipment more than one driven by internal loans or accounting movements. The composition reveals whether confidence is genuinely returning.

Block2Learn Assessment: Predictability Has Become a Capital Asset

The strongest conclusion from the H1 2026 data is not that German companies have lost faith in the United States. The strongest conclusion is that predictability now carries a measurable price. Existing operations can remain profitable while new projects fail the uncertainty-adjusted hurdle rate.

That matters for both policymakers and investors. Policymakers often focus on the level of a tariff, but companies must price the path around it: possible exemptions, retaliation, sourcing changes, election risk and enforcement. Investors often focus on the size of the installed FDI stock, but the marginal flow tells us whether that stock is still being expanded.

The €4.3 billion figure is therefore an early-warning indicator. It does not prove permanent disengagement. It proves that the option to wait has become valuable. If policy clarity improves, delayed capital can return quickly. If uncertainty becomes a structural feature, the cost will accumulate slowly through fewer factories, weaker supplier networks and missed productivity gains.

For a broader view of the forces connecting currencies, trade, policy and cross-border capital, continue through Block2Learn’s Global Finance coverage.

Learning Path: How to Read Cross-Border Investment Correctly

Start by separating stocks from flows. Then separate new equity, reinvested earnings and intercompany lending. Next, identify the irreversible assets behind the data and estimate how long management needs policy visibility. Finally, compare political commitments with realized projects, employment and equipment orders. This sequence turns a dramatic headline into a disciplined investment framework.

Build that framework step by step in the Block2Learn Learning Path, where macroeconomic signals are connected to capital allocation, risk management and portfolio interpretation.

This article is for educational purposes and does not constitute investment advice.

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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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ai16z
ai16z (AI16Z) $ 0.000387 20.83%
ether-fi-staked-eth
ether.fi Staked ETH (EETH) $ 2,317.47 1.05%
apecoin
ApeCoin (APE) $ 0.141235 4.36%
coredaoorg
Core (CORE) $ 0.024725 2.23%
helium
Helium (HNT) $ 0.204328 5.73%
frax
Legacy Frax Dollar (FRAX) $ 0.992151 0.02%
akash-network
Akash Network (AKT) $ 0.55544 3.67%
compound-governance-token
Compound (COMP) $ 19.28 2.59%
meow
MEOW (MEOW) $ 0.000007 3.83%
usdx-money-usdx
Stables Labs USDX (USDX) $ 0.009526 0.00%
ecash
eCash (XEC) $ 0.000007 4.35%
chiliz
Chiliz (CHZ) $ 0.014064 3.43%
wormhole
Wormhole (W) $ 0.009344 4.65%
amp-token
Amp (AMP) $ 0.000457 6.34%
ultima
Ultima (ULTIMA) $ 2,344.95 1.21%
eigenlayer
EigenCloud (prev. EigenLayer) (EIGEN) $ 0.207069 7.18%
pumpbtc
pumpBTC (PUMPBTC) $ 76,077.00 2.54%
deep
DeepBook (DEEP) $ 0.013898 3.31%
resolv-usr
Resolv USR (USR) $ 0.117885 3.28%
pancakeswap-token
PancakeSwap (CAKE) $ 1.71 3.78%
pax-gold
PAX Gold (PAXG) $ 4,629.34 1.16%
gigachad-2
Gigachad (GIGA) $ 0.002629 8.87%
mina-protocol
Mina Protocol (MINA) $ 0.060673 0.93%
gnosis
Gnosis (GNO) $ 120.42 2.43%
pendle
Pendle (PENDLE) $ 1.73 2.58%
bitcoin-avalanche-bridged-btc-b
Avalanche Bridged BTC (Avalanche) (BTC.B) $ 76,260.00 3.16%
beldex
Beldex (BDX) $ 0.082452 0.80%
echelon-prime
Echelon Prime (PRIME) $ 0.235581 2.30%
zksync
ZKsync (ZK) $ 0.008773 2.87%
paypal-usd
PayPal USD (PYUSD) $ 0.999934 0.00%
havven
Synthetix (SNX) $ 0.22796 1.73%
coinbase-wrapped-staked-eth
Coinbase Wrapped Staked ETH (CBETH) $ 2,539.40 3.57%
true-usd
TrueUSD (TUSD) $ 0.998099 0.03%
stakestone-berachain-vault-token
StakeStone Berachain Vault Token (BERASTONE) $ 2,442.72 1.98%
axelar
Axelar (AXL) $ 0.040283 4.37%
tbtc
tBTC (TBTC) $ 70,942.00 7.49%
apenft
AINFT (NFT) $ 0.000000276603 0.83%
snek
Snek (SNEK) $ 0.000423 2.08%
mog-coin
Mog Coin (MOG) $ 0.000000114132 4.62%
telcoin
Telcoin (TEL) $ 0.001815 2.98%
toshi
Toshi (TOSHI) $ 0.000129 4.06%
dydx
dYdX (ETHDYDX) $ 0.116549 0.65%
kava
Kava (KAVA) $ 0.045478 1.26%
polygon-pos-bridged-weth-polygon-pos
Polygon PoS Bridged WETH (Polygon POS) (WETH) $ 2,261.63 3.58%
newton-project
AB (AB) $ 0.000975 1.11%
notcoin
Notcoin (NOT) $ 0.000408 3.64%
chex-token
Chintai (CHEX) $ 0.009964 0.68%
bridged-usdc-polygon-pos-bridge
Polygon Bridged USDC (Polygon PoS) (USDC.E) $ 0.99972 0.00%
vethor-token
VeThor (VTHO) $ 0.000372 1.58%
frax-ether
Frax Ether (FRXETH) $ 2,262.16 2.20%
1inch
1INCH (1INCH) $ 0.089296 2.30%
trust-wallet-token
Trust Wallet (TWT) $ 0.458614 7.99%
quantixai
Quantix Finance (QFI) $ 20.18 104.23%
grass
Grass (GRASS) $ 0.329817 8.37%
stader-ethx
Stader ETHx (ETHX) $ 2,455.55 2.19%
superfarm
SuperVerse (SUPER) $ 0.113901 5.25%
terra-luna
Terra Luna Classic (LUNC) $ 0.000053 2.87%
sweth
Swell Ethereum (SWETH) $ 2,521.55 3.25%
safe
Safe (SAFE) $ 0.08934 4.40%
livepeer
Livepeer (LPT) $ 1.39 2.93%
hashnote-usyc
Circle USYC (USYC) $ 1.14 0.01%
usdb
USDB (USDB) $ 0.999183 0.25%
creditcoin-2
Creditcoin (CTC) $ 0.088059 2.73%
theta-fuel
Theta Fuel (TFUEL) $ 0.008863 1.01%
oasis-network
Oasis (ROSE) $ 0.005877 4.92%
super-oeth
Super OETH (SUPEROETH) $ 2,263.65 2.59%
aixbt
aixbt (AIXBT) $ 0.020888 4.02%
kusama
Kusama (KSM) $ 3.48 4.70%
bio-protocol
Bio Protocol (BIO) $ 0.029194 1.82%
layerzero
LayerZero (ZRO) $ 1.19 7.87%
blur
Blur (BLUR) $ 0.016299 2.53%
dash
Dash (DASH) $ 38.15 10.75%
cat-in-a-dogs-world
cat in a dogs world (MEW) $ 0.000414 6.92%
ordinals
ORDI (ORDI) $ 4.13 3.45%
solayer-staked-sol
Solayer Staked SOL (SSOL) $ 112.14 4.30%
io
io.net (IO) $ 0.138093 5.62%
ondo-us-dollar-yield
Ondo US Dollar Yield (USDY) $ 1.14 0.02%
freysa-ai
Freysa AI (FAI) $ 0.002835 3.77%
arkham
Arkham (ARKM) $ 0.109919 3.61%
turbo
Turbo (TURBO) $ 0.000988 3.59%
popcat
Popcat (POPCAT) $ 0.058693 1.77%
binance-peg-busd
Binance-Peg BUSD (BUSD) $ 1.00 0.05%
olympus
Olympus (OHM) $ 18.11 0.94%
dog-go-to-the-moon-rune
Dog (Bitcoin) (DOG) $ 0.001218 5.88%
nervos-network
Nervos Network (CKB) $ 0.000962 3.87%
astar
Astar (ASTR) $ 0.005478 1.42%
just
JUST (JST) $ 0.099506 1.77%
compound-wrapped-btc
cWBTC (CWBTC) $ 1,534.90 2.99%
mx-token
MX (MX) $ 1.70 1.95%
zilliqa
Zilliqa (ZIL) $ 0.002694 2.59%
verus-coin
Verus (VRSC) $ 0.210063 1.30%
melania-meme
Melania Meme (MELANIA) $ 0.104787 8.46%
holotoken
holo (HOLO) $ 0.000013 0.00%
ai-rig-complex
AI Rig Complex (ARC) $ 0.072523 0.70%
origintrail
OriginTrail (TRAC) $ 0.36011 3.00%
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) $ 0.096463 2.27%
baby-doge-coin
Baby Doge Coin (BABYDOGE) $ 0.00000000036812 3.24%
ether-fi
Ether.fi (ETHFI) $ 0.563165 9.60%
safepal
SafePal (SFP) $ 0.260019 4.15%
staked-frax-ether
Staked Frax Ether (SFRXETH) $ 2,589.68 3.62%
aethir
Aethir (ATH) $ 0.005011 3.76%
golem
Golem (GLM) $ 0.10751 3.44%
basic-attention-token
Basic Attention (BAT) $ 0.066978 3.83%
swissborg
SwissBorg (BORG) $ 0.175479 2.70%
skale
SKALE (SKL) $ 0.003847 2.81%
wemix-token
WEMIX (WEMIX) $ 0.194992 0.45%
mocaverse
Moca Network (MOCA) $ 0.008032 3.10%
xyo-network
XYO Network (XYO) $ 0.003189 4.42%
gas
Gas (GAS) $ 1.23 0.81%
celo
Celo (CELO) $ 0.076367 2.70%
benqi-liquid-staked-avax
BENQI Liquid Staked AVAX (SAVAX) $ 12.58 0.25%
qtum
Qtum (QTUM) $ 0.841404 4.01%
spell-token
Spell (SPELL) $ 0.000086 3.74%
would
would (WOULD) $ 0.055249 10.95%
vine
Vine (VINE) $ 0.007425 10.87%
zencash
Horizen (ZEN) $ 5.15 5.95%
woo-network
WOO (WOO) $ 0.011369 2.89%
iotex
IoTeX (IOTX) $ 0.00279 2.44%
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) $ 0.000677 1.92%
bybit-staked-sol
Bybit Staked SOL (BBSOL) $ 112.08 4.42%
plume
Plume (PLUME) $ 0.013295 5.17%
osmosis
Osmosis (OSMO) $ 0.034529 4.61%
vana
Vana (VANA) $ 0.983983 4.38%
griffain
GRIFFAIN (GRIFFAIN) $ 0.011738 3.22%
zetachain
ZetaChain (ZETA) $ 0.032392 3.31%
uxlink
UXLINK (UXLINK) $ 0.000726 2.48%
ethereum-pow-iou
EthereumPoW (ETHW) $ 0.269107 3.29%
ankr
Ankr Network (ANKR) $ 0.003997 1.30%
akuma-inu
Akuma Inu (AKUMA) $ 0.000000084817 1.68%
tribe-2
Tribe (TRIBE) $ 0.382778 0.96%
ravencoin
Ravencoin (RVN) $ 0.003201 4.14%
enjincoin
Enjin Coin (ENJ) $ 0.025865 7.43%
peanut-the-squirrel
Peanut the Squirrel (PNUT) $ 0.051087 3.75%
elixir-deusd
Elixir deUSD (DEUSD) $ 0.000977 0.00%
memecoin-2
Memecoin (MEME) $ 0.000533 3.46%
aelf
aelf (ELF) $ 0.058826 7.66%
anime
Animecoin (ANIME) $ 0.002614 6.80%
constellation-labs
Constellation (DAG) $ 0.007495 0.31%
polymesh
Polymesh (POLYX) $ 0.033687 4.12%
convex-finance
Convex Finance (CVX) $ 2.04 8.61%
drift-protocol
Drift Protocol (DRIFT) $ 0.011857 3.18%
sats-ordinals
SATS (Ordinals) (SATS) $ 0.00000001157 6.88%
venice-token
Venice Token (VVV) $ 17.46 3.22%
qubic-network
Qubic (QUBIC) $ 0.000000420226 0.18%
coinex-token
CoinEx (CET) $ 0.011993 2.63%
peaq-2
peaq (PEAQ) $ 0.021071 7.61%
threshold-network-token
Threshold Network (T) $ 0.00362 3.51%
stepn
GMT (GMT) $ 0.007066 4.19%
usda-2
USDa (USDA) $ 0.967102 0.00%

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