85% of Tokens Launched in 2025 Have Fallen Below Their Market Entry Price

RBK-cryptoОпубликовано 2025-12-23Обновлено 2025-12-23

Введение

According to an analysis by Memento Research, 85% of tokens launched in 2025 have fallen below their initial listing price. The study of 118 token generation events (TGEs) found that 84.7% of assets are trading below their starting valuation, with two-thirds losing over 50% of their value. A significant 38% have experienced a devastating 70-90% decline, entering what analysts term the "token graveyard zone." Notably, all 28 tokens with a high initial fully diluted valuation (FDV) of over $1 billion are in the red, with a median decline of 81%. The worst-performing category was infrastructure projects, which formed the bulk of the sample and fell an average of 72-82%. The DeFi sector performed relatively better, with 31.6% of its tokens still trading above their TGE price. The report concludes that purchasing tokens at launch in 2025 was largely unprofitable. Success was limited to assets with a low starting valuation; in this group, 40% traded above their launch price. For all other segments, the median decline ranged from 70% to 83%, indicating that the TGE often marked a price peak followed by a sharp correction.

Analysts at Memento Research analyzed 118 token launches (token generation event, TGE) since the beginning of the year and recorded massive declines. According to their data, 84.7% of assets are trading below their initial valuation.

Two-thirds of the tokens in the sample have lost more than 50% of their value, and 38% have a current market capitalization that is 70–90% below the initial level. The authors refer to this range as the "token graveyard zone" (highlighted in red on the chart). The authors rely on data from aggregators CoinGecko and CoinMarketCap, their own calculations, and data from public blockchains, with prices recorded as of December 20, 2025.

Large TGEs with inflated initial valuations performed particularly poorly. Out of 28 launches with an initial valuation (fully diluted value, FDV) of $1 billion or more, none are in profit. The median decline was about 81%.

The authors analyzed token launches in categories such as infrastructure projects (Infra, 46 launches in 2025), artificial intelligence (AI, 23 tokens), decentralized financial platforms (DeFi, 19 tokens), consumer services (Consumer, 14 tokens), gaming projects (Gaming, 6 tokens), stablecoins and related projects (Stablecoin, 4 tokens), decentralized futures platforms (Perp DEX, 3 tokens), data providers (Data, 2 tokens), and one token from a scientific crypto project (DeSi). For the 30 largest tokens, the median initial valuation was $1.58 billion, while for another 28, it was around $680 million.

The largest losses were recorded in infrastructure projects. They made up the bulk of the sample and showed an average decline of 72% to 82%. The DeFi sector performed relatively better, with 31.6% of tokens trading above their TGE price. The perp DEX segment stands out from the rest with an average increase of 213%, but the result is heavily skewed by the launch of the Aster DEX platform, whose token ASTER surged in price due to prolonged aggressive support from the largest crypto exchange Binance and its founder Changpeng Zhao.

Projects with high initial valuations (FDV) failed to meet expectations and were revalued by the market significantly downward. This particularly affected infrastructure and AI-focused projects, which accounted for the majority of the decline.

Buying tokens at launch in 2025 meant betting on rare exceptions, the authors write. Most launches turned out to be unprofitable, and only assets with low initial valuations showed significantly better results. In this group, 40% of tokens traded above their launch price, and the median decline was about 26 percent. For all other segments, the average declines ranged from 70% to 83%, and there were almost no successful examples.

Thus, for most tokens in 2025, TGE was an unfortunate entry point. The median decline was about 70%, and in the case of inflated initial valuations, the market perceived the token launch as a local price peak, followed by a sharp decline.

Experts allowed for a Bitcoin drop to as low as $56k. Where did this conclusion come from?

Bitcoin's price fell short of 2025 forecasts. Who predicted what and why?

Coins of the year. How and why Tron's TRX token outperformed almost the entire crypto market.

Связанные с этим вопросы

QAccording to the analysis, what percentage of tokens launched in 2025 are trading below their initial valuation?

A84.7% of the tokens are trading below their initial valuation.

QWhat is the median drawdown for tokens with a high initial fully diluted value (FDV) of over $1 billion?

AThe median drawdown for tokens with an initial FDV of over $1 billion is approximately 81%.

QWhich token category performed the worst in terms of price decline, and what was the average drop?

AInfrastructure projects (Infra) performed the worst, showing an average price decline between 72% and 82%.

QWhich specific sector showed an average price increase of 213%, and what was the primary reason for this outlier performance?

AThe perp DEX sector showed an average increase of 213%, primarily due to the strong performance of the Aster DEX token, which was aggressively supported by the Binance exchange and its founder, Changpeng Zhao.

QWhat was the key factor that distinguished the performance of tokens with a low initial valuation from the rest?

A40% of tokens with a low initial valuation traded above their launch price, with a median decline of only about 26%, significantly outperforming other segments which saw average declines of 70% to 83%.

Похожее

The Essence of AI Layoffs: Why More AI Adoption Leads to More Corporate Anxiety?

The author, awaiting potential inclusion on an 8000-person layoff list, analyzes the true nature of recent "AI-driven" layoffs. They argue that while AI use, particularly tools like Claude for code generation, has skyrocketed and boosted developer output (e.g., 2-5x more code commits), this has not translated into proportional business growth or revenue. The core issue is a misalignment between increased "Input" (code) and tangible "Outcomes" (user value, revenue). AI acts as a costly B2B SaaS, inflating operational expenses without guaranteed returns. Two key problems emerge: 1) The friction that once filtered out bad ideas is gone, as AI allows cheap pursuit of even weak concepts. 2) Organizational "alignment tax"—the difficulty of coordinating across teams—becomes crippling when development velocity outpaces consensus-building. Thus, layoffs serve two immediate purposes: 1) To offset ballooning AI costs (Token consumption) and maintain cash flow, as rising input costs without outcome growth destroys unit economics. 2) To reduce organizational bloat and alignment friction by simply removing teams, thereby speeding up execution in the short term. Therefore, these layoffs are fundamentally caused by AI, even if AI doesn't directly replace roles. They represent a painful correction until companies learn to convert AI-driven productivity into real business outcomes and streamline organizational coordination to match the new pace of work. The cycle will continue until this learning curve is mastered.

marsbit1 ч. назад

The Essence of AI Layoffs: Why More AI Adoption Leads to More Corporate Anxiety?

marsbit1 ч. назад

Can the Solana Foundation and Google's Collaboration on Pay.sh Bridge the Payment Link Between Web2 and Web3 in the Agent Economy?

Solana Foundation, in collaboration with Google Cloud, has launched Pay.sh, a payment gateway designed to bridge the gap between AI agents and enterprise-grade service infrastructure. The initiative aims to solve a key bottleneck in the "agent economy": existing payment systems are ill-suited for autonomous AI agents. Traditional methods like credit cards require human verification, while newer on-chain protocols like x402 and MPP create a separate, Web3-native system that raises barriers for service providers. Pay.sh functions as a universal payment layer. It allows users to fund a Solana wallet via credit card or stablecoin, which then acts as an identity and payment proxy for AI agents. When an agent needs to access a paid API service (e.g., Google Cloud, Alibaba Cloud), Pay.sh handles the transaction seamlessly. It leverages the HTTP 402 status code ("Payment Required") to initiate payments, intelligently choosing between one-time transfers (x402-style) or session-based authorizations (MPC-style) based on the service's billing model. This spares agents from manual account registration and API key management. A key feature for service providers is low integration effort. They can adopt Pay.sh by providing a declarative configuration file, enabling features like tiered pricing, free tiers, and automatic revenue splitting to multiple addresses (e.g., for royalties, cloud costs). Providers can also list their APIs in a central Pay Skill Registry for agent discovery. The collaboration with Google Cloud provides crucial infrastructure for API proxying, traffic routing, and compliance logging, aiming to keep agent activities within regulated boundaries. By connecting Web2 services with Web3 payment rails, Pay.sh positions the Solana wallet as a foundational identity and payment tool for AI agents, potentially driving more transaction volume to the Solana ecosystem. However, the report notes challenges. The service registry currently lacks robust vetting, risking exposure to unauthorized or malicious third-party APIs. Pay.sh also inherits security and compatibility risks from its underlying payment protocols (x402, MPC). Furthermore, adoption may be hindered by varying regional data privacy and payment compliance regulations among API providers. Despite these hurdles, Pay.sh represents a significant step towards integrating Web2 and Web3 for autonomous agent commerce.

marsbit1 ч. назад

Can the Solana Foundation and Google's Collaboration on Pay.sh Bridge the Payment Link Between Web2 and Web3 in the Agent Economy?

marsbit1 ч. назад

Торговля

Спот
Фьючерсы
活动图片