Tether grows as crypto market shrinks in Q4, report shows

ambcryptoОпубликовано 2026-02-04Обновлено 2026-02-04

Введение

Despite a sharp contraction in the broader cryptocurrency market in Q4 2025, with total market capitalization falling from approximately $3.9 trillion to $2.6 trillion, Tether (USD₮) experienced significant growth. Its circulating supply increased steadily, reaching around $109 billion by the end of the quarter, with net issuance exceeding $10 billion. This expansion reflects a shift in investor behavior toward capital preservation and de-risking rather than exiting the crypto ecosystem entirely. Tether’s substantial holdings of U.S. Treasuries, totaling $141.6 billion, reinforced confidence during market stress. The accumulation of stablecoins suggests that investors are poised to redeploy capital once market conditions stabilize, potentially supporting future liquidity and recovery.

Tether expanded its footprint in the final quarter of 2025 even as the broader cryptocurrency market entered a sharp contraction. This underscores the stablecoin’s role as a defensive asset during periods of heightened volatility.

According to Tether’s Q4 market report, the total cryptocurrency market capitalization fell by roughly one-third over the quarter. It slid from around $3.9 trillion at the end of September to about $2.6 trillion by December.

The drawdown capped a year marked by tightening financial conditions, fading risk appetite, and persistent selling pressure across major digital assets.

Against that backdrop, Tether moved in the opposite direction. USD₮’s circulating supply climbed steadily through the quarter, ending Q4 at approximately $109 billion.

That figure represents one of the strongest quarterly expansions for the stablecoin in 2025 and a sharp contrast to the contraction seen across spot crypto markets.

Tether capital rotation favors stability over risk

Rather than signaling fresh speculative inflows, the report suggests USD₮’s growth reflected a shift in capital allocation. As prices fell and volatility increased, market participants appeared to rotate funds into stablecoins rather than exit the crypto ecosystem entirely.

Net issuance of USD₮ exceeded $10 billion during Q4, indicating sustained demand for dollar-denominated liquidity.

This pattern aligns with previous market downturns, where stablecoins tend to absorb capital as traders reduce exposure to volatile assets while maintaining on-chain flexibility.

The divergence between market cap contraction and stablecoin growth highlights a broader behavioral trend: investors were de-risking, not disengaging.

Capital remained on-chain, but it increasingly sought shelter in instruments designed to preserve value rather than generate upside.

Treasuries underpin confidence in USD₮

Tether’s report also emphasized the composition of its reserves, which remain heavily weighted toward short-term U.S.

Treasuries and cash equivalents. The report shows that Tethers holds $141.6bn in U.S. Treasuries, making it the 7th largest buyer of U.S. Treasuries in 2025, ahead of Taiwan and South Korea.

This reserve structure has become central to USD₮’s positioning during market stress, as it reinforces confidence in the stablecoin’s liquidity and redemption capacity.

What stablecoin growth signals for the market

The expansion of USD₮ during a broad market downturn carries important implications.

Historically, rising stablecoin balances during periods of declining prices have often preceded renewed trading activity once conditions stabilize, as sidelined capital can be rapidly redeployed.

The accumulation of stablecoins suggests that investors are waiting for clearer macro or market signals before re-entering higher-risk positions.


Final Thoughts

  • USD₮ supply growth in Q4 points to capital preservation rather than renewed risk-taking, as crypto markets declined.
  • Rising stablecoin balances may set the stage for future liquidity, but timing a broader recovery remains uncertain.

Связанные с этим вопросы

QWhat happened to Tether's circulating supply in Q4 2025 while the broader crypto market was contracting?

ATether's circulating supply grew steadily, ending Q4 at approximately $109 billion, which was one of its strongest quarterly expansions in 2025.

QHow much did the total cryptocurrency market capitalization fall by in Q4 2025, according to Tether's report?

AThe total cryptocurrency market capitalization fell by roughly one-third, from around $3.9 trillion at the end of September to about $2.6 trillion by December.

QWhat does the report suggest was the primary reason for the growth of USD₮ during the market downturn?

AThe report suggests that USD₮'s growth reflected a shift in capital allocation, with market participants rotating funds into stablecoins for stability rather than exiting the crypto ecosystem entirely.

QWhat is the significance of Tether holding $141.6 billion in U.S. Treasuries, as mentioned in the report?

AThis large holding of U.S. Treasuries and cash equivalents reinforces confidence in USD₮'s liquidity and redemption capacity, making Tether the 7th largest buyer of U.S. Treasuries in 2025.

QWhat broader market implication does the accumulation of stablecoins during a downturn historically signal?

AHistorically, rising stablecoin balances during declining prices have often preceded renewed trading activity once conditions stabilize, as sidelined capital can be rapidly redeployed into higher-risk positions.

Похожее

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

NEAR Returns to AI Origins: From Payroll Struggles to Blockchain, Now Focusing on AI Agents and Privacy NEAR Protocol's journey began not with grand blockchain ambitions, but from a practical hurdle: its AI startup founders, including Transformer paper co-author Illia Polosukhin, couldn't efficiently pay international developers in 2017. This led them to pivot and build a high-performance, scalable blockchain. After years navigating various crypto narratives like sharding and cross-chain interoperability, NEAR is now leveraging its AI roots to re-enter the AI arena. A key driver is its "NEAR Intents" layer, which abstracts complex cross-chain transactions. Users simply state their goal (e.g., swap BTC for ETH), and a solver network finds the optimal route. This system has processed over $20B in cross-chain volume, generating significant fee revenue. A major growth area is private transactions via "Confidential Intents/Swaps," which hide trade details until settlement to protect against MEV and front-running. Remarkably, private swaps recently accounted for over 40% of NEAR's transaction volume, highlighting strong demand but also potential regulatory scrutiny. With its AI-founder pedigree, NEAR is positioning itself at the intersection of blockchain, AI agents, and privacy, aiming to become infrastructure for the emerging agent economy while navigating the challenges of its rapid adoption.

marsbit2 ч. назад

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

marsbit2 ч. назад

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

In recent discussions, Vitalik Buterin has frequently emphasized the concept of "CROPS," a framework defining core values for Ethereum's development. CROPS stands for Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. Initially outlined in the Ethereum Foundation's "EF Mandate," it represents a commitment to user sovereignty, ensuring that the network resists external control, remains open, protects privacy, and prioritizes security. The relevance of CROPS extends beyond Ethereum's foundational principles, becoming crucial in the context of AI integration. As AI agents begin handling wallet operations and automated transactions, the risk increases that users may cede control over their digital assets, privacy, and intentions to centralized AI service providers. A "CROPS AI" would therefore emphasize local execution where possible, privacy-preserving remote model calls (e.g., using zero-knowledge proofs), and transparent, verifiable processes to maintain user agency. Vitalik highlights a significant convergence between "CROPS Ethereum access layer" and "CROPS AI." Both address the same fundamental challenge: how users can access powerful services—be it blockchain data via RPCs or AI models—without exposing sensitive information or relinquishing ultimate control. This intersection points toward a future digital entry point that is more private, secure, and user-controlled. Ultimately, CROPS is not merely an abstract ideal but a practical guidepost. It steers development—from protocol resilience and wallet design to AI agent safety—towards a future where users retain self-sovereignty even as digital systems grow more complex and powerful. In an era of accelerating AI adoption, these "slow variables" of censorship resistance, openness, privacy, and security may define Ethereum's enduring value.

marsbit2 ч. назад

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

marsbit2 ч. назад

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit3 ч. назад

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit3 ч. назад

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit3 ч. назад

Token Inefficient, Economy Tokenless

marsbit3 ч. назад

Торговля

Спот
Фьючерсы
活动图片