Solana treasury Upexi slides 7.5% on $1B shelf registration filing

cointelegraphPublished on 2025-12-24Last updated on 2025-12-24

Abstract

Upexi shares fell 7.5% after filing a shelf registration to raise up to $1 billion, intended to expand its Solana treasury and pursue related opportunities. The company, which holds 2.1 million SOL worth $262.3 million, is the fourth-largest corporate holder of Solana. Proceeds will be used for general corporate purposes, including accumulating and staking SOL. However, Upexi hasn't purchased Solana since July, and its holdings have declined from a peak of $525 million amid a broader crypto market pullback. The company is currently facing a 19% paper loss on its Solana investments.

Shares in Upexi closed Tuesday down 7.5% after it filed to raise up to $1 billion to expand its Solana treasury and pursue other opportunities related to the token.

Upexi said in its shelf registration filing to the Securities and Exchange Commission on Tuesday, that the raise could cover common and preferred stock, debt securities, warrants and units, which may be issued over time.

It said net proceeds from the offering would be used for general corporate purposes. The company primarily focuses on accumulating as much Solana (SOL) as possible and staking it to be rewarded with additional tokens.

Upexi holds 2.1 million SOL worth $262.3 million, making it the fourth-largest corporate Solana treasury company, CoinGecko data shows.

Solana treasury purchases have slowed significantly in the back half of 2025 amid a broader crypto market pullback, along with waning confidence in the sustainability of crypto treasury strategies.

Shares in Upexi (UPXI) closed Tuesday down 7.54% to $1.84, but saw a small reprieve after the bell, gaining 4.34% to $1.92.

Upexi saw a small rally late in after-hours trading on Tuesday, gaining back the day’s losses. Source: Google Finance


Upexi's business was centered around consumer products and e‐commerce before pivoting to a Solana treasury company in late April.

Related: Eclipse brings Solana's parallel runtime to Ethereum

However, it hasn’t made a Solana purchase since July 23 and has seen the value of its SOL stash tumble from a peak of around $525 million in mid-September to $262.3 million at current prices.

Timeline of Upexi’s SOL purchases since its first purchase in late April. Source: Upexi


The company is currently holding a 19% paper loss on its Solana treasury.

Solana is trading at $123.75, down 57.5% from its $293.31 all-time high set on Jan. 19, 2025, CoinGecko data shows.

Magazine: Sei wallets in Xiaomi, Bhutan’s gold on Solana: Asia Express

Trending Cryptos

ctr
CitreaCTR
wstusdt
wrapped stUSDTWSTUSDT
apr
aPrioriAPR
ctx
Cryptex FinanceCTX
audio
AudiusAUDIO
mantra
MantraMANTRA
waxl
AxelarWAXL
bill
Billions NetworkBILL
pyth
PYTH (Pyth)PYTH
rune
THORChainRUNE
velodrome
Velodrome FinanceVELODROME
brev
BrevisBREV
zrx
ZRX（0X）ZRX
cake
PancakeSwapCAKE
jst
JUSTJST

Related Questions

QWhy did Upexi's shares drop 7.5% on Tuesday?

AUpexi's shares dropped 7.5% after the company filed a shelf registration with the SEC to raise up to $1 billion.

QWhat is the primary purpose of Upexi's $1 billion shelf registration?

AThe net proceeds are intended for general corporate purposes, primarily to expand its Solana (SOL) treasury and stake it to earn additional tokens.

QHow much Solana does Upexi currently hold, and what is its market value?

AUpexi holds 2.1 million SOL, which is currently worth $262.3 million.

QWhat was Upexi's original business focus before pivoting to a Solana treasury company?

AUpexi was originally centered around consumer products and e-commerce before pivoting to a Solana treasury strategy in late April.

QWhat is the current paper loss percentage on Upexi's Solana treasury holdings?

AUpexi is currently holding a 19% paper loss on its Solana treasury.

Related Reads

Gate Research Institute: The 'Wall Street-ization' Wave of Crypto Financial Products – Competition or Integration?

The article titled "Gate Research Institute: Are Crypto Financial Products Sparking a 'Wall Street' Wave—Competition or Convergence?" explores the evolving relationship between the crypto ecosystem and traditional finance (TradFi). The piece begins by reflecting on Bitcoin's original 2009 vision of decentralization, disintermediation, and moving away from banks. It then contrasts this with the 2024 landscape, where key crypto assets like Bitcoin are increasingly held through Wall Street products like ETFs issued by giants like BlackRock. The article questions whether this signifies that TradFi is systematically taking over the rights to issue, price, custody, and distribute crypto financial assets. The core argument is that this is not a zero-sum takeover but rather a bidirectional convergence where each side addresses the other's weaknesses. Crypto offers 24/7 global markets, programmable settlement, and open access but lacks compliant channels, institutional-grade custody, deep fiat liquidity, and mainstream distribution. TradFi possesses these but is constrained by legacy systems, limited operating hours, and slow settlement. Two primary convergence paths are highlighted: * **Path A (CEX to TradFi):** Exemplified by Gate, which has progressed from offering tokenized stocks and CFDs to providing direct, real stock trading (US, Hong Kong, South Korea) within its platform, using USDT. * **Path B (TradFi to Crypto):** Exemplified by Robinhood, which has integrated crypto trading, acquired exchanges like Bitstamp, and is moving traditional assets like stocks onto the blockchain via tokenization and its own Layer 2. Both paths are ultimately competing to become the next-generation, unified financial account—a "super account" where users can seamlessly trade cryptocurrencies, stocks, ETFs, RWA (Real World Assets), and tokenized treasury products in one interface. The growth of RWA and tokenized treasuries (e.g., BlackRock's BUIDL) is presented as the asset-layer fusion, providing stable, yield-bearing assets on-chain and acting as a bridge between the two worlds. In conclusion, the "Wall Street-ization" of crypto is framed as a mutual transformation. Decentralized ideals persist in the protocol layer, while at the application layer, a more efficient, global, and accessible unified capital market is emerging from this convergence. The future competition lies not between crypto exchanges and stockbrokers, but between platforms vying to offer the most comprehensive asset coverage, liquidity, and user experience within a single account.

marsbit4m ago

Gate Research Institute: The 'Wall Street-ization' Wave of Crypto Financial Products – Competition or Integration?

marsbit4m ago

S&P Dow Jones and Pantera Launch Crypto Index, Excluding Bitcoin for "Not Making Money"

S&P Dow Jones Indices and Pantera Capital have launched the S&P Pantera Digital Asset Index, a benchmark that excludes Bitcoin and meme coins like XRP. The index adopts a fundamental screening framework inspired by the S&P 500, requiring constituent tokens to demonstrate positive protocol revenue over multiple quarters, verified by on-chain data, and a clear mechanism for distributing value to token holders. This "financial viability" test is cited as the reason for Bitcoin's exclusion, as it does not generate protocol revenue. The index currently includes 18 assets, with Ethereum (ETH), BNB, Solana (SOL), Tron (TRX), and Hyperliquid (HYPE) as its top five holdings. While initially serving as a benchmark, discussions are underway with asset managers to develop associated ETFs and investment products. Pantera argues the index addresses an institutional product gap, offering a way to evaluate crypto assets based on utility and earnings rather than just market capitalization.

marsbit5m ago

S&P Dow Jones and Pantera Launch Crypto Index, Excluding Bitcoin for "Not Making Money"

marsbit5m ago

Claude's Major New Feature: Screen Recording + Voice, Distilling Your Skills into AI Tasks in One Click

Claude has introduced a major new feature called "Record a Skill," available for Pro, Max, and Team users. This function, found in the Claude desktop app's CoWork menu, allows users to create reusable AI skills simply by recording their screen and providing voice narration while performing a task. Claude then automatically analyzes the recording and generates a functional Skill. A hands-on test confirmed the feature works seamlessly. Users start recording via the Skills manager, perform their workflow while verbally explaining the steps and logic, and avoid including sensitive information. After recording, Claude processes the content and creates the Skill, which can be saved and later invoked with a slash command (/). This eliminates the need for manual adjustments or writing complex instruction files. The innovation goes beyond mere efficiency. Previously, creating a Skill required writing a detailed SKILL.md file in Markdown—a significant barrier for non-technical users. "Record a Skill" bypasses this by directly capturing both actions and the implicit reasoning shared in the narration. This lowers the barrier to knowledge transfer and automation, addressing a core challenge in corporate knowledge management: the difficulty of getting experts to write and maintain documentation. However, the feature also highlights a shift in the nature of work. A case study from March 2026 showed a freelancer whose five-year client relationship was effectively replaced by a hand-coded Claude Skill automating their content workflow. With the even lower barrier of screen recording, the ability to distill personal expertise into automatable skills accelerates this trend. The "moat" for work is moving from simply knowing how to do a task to mastering tasks that are difficult or impossible to automate.

marsbit9m ago

Claude's Major New Feature: Screen Recording + Voice, Distilling Your Skills into AI Tasks in One Click

marsbit9m ago

Feeding AI "Noise" Can Also Boost Scores, This Work Enables Positive Transfer with Noise

Feeding "Noise" to AI Can Improve Performance: A Method Enables Positive Transfer from Noise This work, Semi-Supervised Noise Adaptation (SSNA), introduces a Noise Adaptation Framework (NAF) that challenges traditional transfer learning. Instead of requiring a labeled source domain of real data (e.g., images, text), NAF uses randomly generated Gaussian noise as the source. For a target task with C classes, it constructs C noise clusters by sampling from Gaussian distributions. Although this synthetic noise contains no semantic meaning, NAF trains it to form a discriminative class structure in a shared representation space—clustering same-class noise and separating different classes. The key is aligning this learned structure from the noise domain to the real, sparsely labeled target domain. A small number of target labels are still essential to establish the correspondence between noise clusters and actual classes. The training objective combines: 1) supervised loss on the few labeled target samples, 2) classification loss for the noise to build its structure, and 3) a distribution alignment loss (using Negative Domain Similarity) to minimize the gap between the noise and target domains in the shared space. Experiments show significant gains in few-label settings. With just 4 labels per class, NAF with a ResNet-18 backbone improves accuracy over a standard supervised baseline (ERM) by +12.35% on CIFAR-10, +7.61% on CIFAR-100, +4.38% on DTD-47, and +2.74% on Caltech-101. It also benefits fine-grained datasets and scales to ImageNet-1K (with 100 labels/class) and text classification (AG News). NAF can be integrated into existing semi-supervised methods like FixMatch for further gains. Ablation studies confirm the transferred benefit comes from the discriminative structure of the noise, not randomness itself. Collapsing all noise into a single point causes negative transfer, while increasing separation between noise cluster centers improves performance. The amount of noise per class is less critical once a basic structure forms. In conclusion, this work demonstrates that for positive transfer, the semantic content of source data may not be necessary. What can be effectively transferred is the *organizational structure* of categories within a representation space. This offers a promising alternative for scenarios where real source data is unavailable due to privacy, copyright, or procurement constraints.

marsbit10m ago

Feeding AI "Noise" Can Also Boost Scores, This Work Enables Positive Transfer with Noise

marsbit10m ago

Bitcoin, XRP left out – The S&P Digital Asset Index shows crypto’s biggest shift yet

Pantera Capital and S&P Dow Jones Indices have launched the S&P Digital Asset Index, a basket of 18 cryptocurrencies focused on fundamental strength. Notably, Bitcoin and XRP are excluded from the initial confirmed assets, which include Ethereum, BNB, Solana, Hyperliquid, and Tron. This selection highlights a potential market shift, prioritizing Layer-1 networks with proven scalability, utility, and sustainable on-chain revenue—reportedly $3 billion annualized in the past six months—over mere market capitalization. Analysts suggest this "fundamental index for crypto" could guide institutional capital toward assets with real economic activity, possibly leading to a significant divergence in the next market cycle where fundamentals, not just price momentum, drive investment.

ambcrypto18m ago

Bitcoin, XRP left out – The S&P Digital Asset Index shows crypto’s biggest shift yet

ambcrypto18m ago

Trading

Spot

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of SOL (SOL) are presented below.

活动图片

Top Questions