eToro Reports Strong Q1 Profit Growth Despite Crypto Trading Slump

TheNewsCryptoPublicado a 2026-05-13Actualizado a 2026-05-13

Resumen

eToro reported strong Q1 profit growth despite a downturn in cryptocurrency trading. Net income rose 37% year-over-year to $82 million, driven largely by a nearly 400% surge in commodities trading volume, which accounted for about 60% of trading commissions. Key metrics also showed growth: net contribution increased 19% to $258 million, adjusted EBITDA grew 35% to $109 million, and assets under management climbed 15% to $17 billion. While commodities thrived, crypto activity declined. The number of crypto trades fell 32% year-over-year in April, with the average investment per trade dropping 22%. To bolster its offerings, eToro launched an AI-powered "Agent Portfolios" feature and enhanced its AI agent, Tori, with Grok 4.2 market sentiment analysis. The company also expanded by activating its BitLicense for New York crypto trading, adding Japanese equities, and finalizing the acquisition of self-custody wallet provider Zengo. By late April, total assets under management had risen further to $18.7 billion.

With a 37% year-over-year increase in net income to $82 million, EToro was able to weather a dip in cryptocurrency activity thanks to a spike in commodities trading.

On Tuesday, the business said that its net income increased 37% year-over-year to $82 million, up from $60 million in the first quarter of 2025. Earnings before interest, taxes, depreciation, and amortization, or adjusted EBITDA, increased by 35% to $109 million from $80 million the previous year, while net contribution increased by 19% to $258 million.

Nearly 400% Surge in Commodities Trading

Commodities trading, which increased volumes by almost 400% year-over-year, was the primary driver of the positive performance, accounting for around 60% of trading commissions in the quarter. The business has activated its BitLicense to commence crypto trading in New York and extended its equities offering to include Japanese companies, bringing its exchange coverage to 26.

A total of 4.02 million funded accounts increased by 12%, while assets under management increased by 15%, reaching $17 billion. As of the 31st of March, the firm’s cash and short-term investments totaled $1.3 billion.

Crypto volumes fell even as commodities trade surged. In April, with the profits, statistics indicated that there were two million trades using cryptocurrencies, a 32% year-over-year decline, and a 22% decline in the amount invested per trade, to $207.

On the product side, eToro introduced an Agent Portfolios feature driven by AI and strengthened its cooperation with xAI. Tori, their AI investing agent, now incorporates market sentiment powered by Grok 4.2.

Additionally, on April 30, the business finalized its purchase of Zengo, a supplier of self-custodial crypto wallets. CEO Yoni Assia said that this move furthers eToro’s aim of connecting conventional finance with on-chain infrastructure. April saw total money transfers reach $1.4 billion, an increase of 53% year-over-year, while assets under management continued their ascent to $18.7 billion, an increase of 19% year-over-year.

Highlighted Crypto News Today:

Bhutan’s GMC Launches Fast-Track Licensing for Global Financial Firms

Preguntas relacionadas

QWhat was the year-over-year percentage increase in eToro's Q1 net income and what was the total amount?

AeToro's net income increased by 37% year-over-year to a total of $82 million in Q1.

QWhat specific type of trading activity offset the decline in cryptocurrency trading volume at eToro?

AA nearly 400% surge in commodities trading activity offset the decline in cryptocurrency trading volume, accounting for around 60% of trading commissions for the quarter.

QHow did the number of cryptocurrency trades and the average investment per trade change in April compared to the previous year?

AIn April, the number of cryptocurrency trades declined by 32% year-over-year to two million, and the average amount invested per trade fell by 22% to $207.

QWhat two recent developments did eToro mention regarding its product offerings and AI capabilities?

AeToro introduced an AI-driven Agent Portfolios feature and enhanced its AI investing agent, Tori, by integrating market sentiment analysis powered by Grok 4.2 through its partnership with xAI.

QWhat strategic acquisition did eToro finalize at the end of April and what was its stated purpose?

AeToro finalized the acquisition of Zengo, a self-custodial crypto wallet provider, to further its goal of connecting traditional finance with on-chain infrastructure.

Lecturas Relacionadas

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbitHace 24 min(s)

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbitHace 24 min(s)

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbitHace 28 min(s)

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbitHace 28 min(s)

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbitHace 28 min(s)

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbitHace 28 min(s)

Coldcard exploit sparks Bitcoin flight, ‘bullish’ crypto consolidation: Hodler’s Digest, August 2

A Coldcard hardware wallet exploit led to estimated losses of 1,367 BTC ($88.6 million), causing a spike in small Bitcoin transfers as users moved funds to centralized exchanges and other custody methods. In U.S. politics, the Clarity Act faces hurdles with time running out for a Senate vote, amid debates over ethics rules and crypto regulation. Major crypto firms like Coinbase reported disappointing Q2 earnings, while an analyst notes the industry is entering a significant consolidation phase, with revenue concentrating in a few dominant protocols like Hyperliquid and Pump.fun. Bitcoin's price decline continued, though some analysts suggest the market may have bottomed. Other news includes Telegram's legal troubles in Russia and Australia, layoffs at Pump.fun ahead of token distributions, and a White House staffer accused of insider betting leaving his post.

cointelegraphHace 45 min(s)

Coldcard exploit sparks Bitcoin flight, ‘bullish’ crypto consolidation: Hodler’s Digest, August 2

cointelegraphHace 45 min(s)

LATEST NEWS: Donald Trump makes a sharp statement regarding Iran! He has halted attacks

U.S. President Donald Trump announced he called off planned military strikes against Iran after Saudi Arabia, the UAE, Qatar, and Iran itself requested a delay. Trump stated the planned operation would have been large-scale and powerful but was suspended to allow time for diplomatic negotiations. He added that regional allies believe an agreement is near, with initial talks focused on security and reopening the Strait of Hormuz. Negotiations on Iran's nuclear program would follow once that is settled. The Strait of Hormuz is a vital global chokepoint for oil and gas shipments, and conflict there could significantly impact energy prices and world trade. Trump further announced that new talks with Iran will begin tomorrow. Separately, Trump commented on events involving the Japanese yen, stating the U.S. intervened in the market due to good relations with Japan, asserting Washington's consistent support for Tokyo and mutual economic benefits from the relevant rules. *This is not an investment recommendation.

cryptonews.ruHace 2 hora(s)

LATEST NEWS: Donald Trump makes a sharp statement regarding Iran! He has halted attacks

cryptonews.ruHace 2 hora(s)

Trading

Spot