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

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

Apple Also Has to Pay Rent Now

Apple Pays Rent Too: The Two-Way Flow of "Traffic Tax" and "AI Capability Rent" Between Tech Giants For over two decades, Google has paid Apple an estimated $20 billion annually to remain the default search engine on Safari, a "traffic tax" for a critical user entry point. However, in 2026, the direction of this cash flow partially reversed. Apple agreed to pay Google roughly $1 billion per year to license its Gemini AI models, as Apple's own models reportedly struggled with complex tasks. This creates a unique dynamic: Apple acts as the "landlord" in the established search ecosystem, collecting rent from Google for access. Simultaneously, in the emerging AI arena, Apple becomes the "tenant," paying Google for access to cutting-edge AI capabilities it cannot currently match internally. While Apple claims its new models are "distilled" from Gemini outputs and contain "not a drop" of Google's original code, core dependencies remain. Its knowledge base is refined using Gemini's outputs, and its most powerful cloud model runs on Google's infrastructure. Apple has structured the deal as non-exclusive, allowing it to theoretically switch AI suppliers—a hedge against over-reliance. The future hinges on whether advanced AI models become a commodity (cheap and abundant) or remain a concentrated, scarce resource (expensive and controlled by few). Apple is betting on the former, leveraging its massive device ecosystem to be a powerful, choosy customer. If the latter proves true, its bargaining power could erode. This power dynamic is extending to developers. Apple, Google, and WeChat are all pushing for apps to expose their core functions as standardized "actions" or "intents" that their respective AI assistants (Siri, Gemini, WeChat AI) can directly call. The new scarce resource is no longer just app store visibility, but "being selected by the AI." The currency of "rent" has changed from a 30% revenue share to ceding control over how users interact with an app's functions.

marsbit1h ago

Apple Also Has to Pay Rent Now

marsbit1h ago

Missed the SpaceX IPO? WEEX's "First Trade Protection" Lets You Experience US Stock Trading Risk-Free.

With the excitement around SpaceX's recent public listing reigniting interest in the US stock market, Chinese investors face significant challenges accessing compliant and convenient trading channels following regulatory actions against major online brokers. This article explores the available options, highlighting their risks and limitations. Traditional paths for US stock investments remain problematic. Qualified Domestic Institutional Investor (QDII) and Listed Open-Ended Fund (LOF) products, while compliant, suffer from high fees, significant purchase premiums, and a very limited selection of assets. Small, unregulated offshore brokers pose substantial risks, including potential insolvency. While secure, VIP accounts at banks in Hong Kong or Singapore require high minimum deposits (often 1-2 million RMB) and in-person visits, placing them out of reach for most retail investors. The article positions cryptocurrency exchanges, specifically their TradFi (traditional finance on-chain) offerings, as a compelling alternative. Platforms like WEEX are noted for providing access to a wide range of US stocks and ETFs, including SpaceX (SPCXON), through tokenized assets. This method offers advantages such as a single account for both crypto and traditional assets, USDT-based settlement avoiding fiat complexities, flexible leverage, and robust risk management. To attract users, WEEX is promoting a "First Trade Guarantee" campaign. Running from June 15 to July 8 (UTC+8), it features a $30,000 prize pool. Users who trade $500 worth of US stock contracts can qualify for a guarantee on their first eligible trade: 100% loss coverage up to $30 or a 20% bonus on profits up to $30. The campaign is presented as a low-risk opportunity for both crypto natives and traditional investors to experience US stock trading.

marsbit1h ago

Missed the SpaceX IPO? WEEX's "First Trade Protection" Lets You Experience US Stock Trading Risk-Free.

marsbit1h ago

How Difficult is Chip Making? A Division Error Costs 475 Million Dollars

How Hard Is It to Make a Chip? A Division Error Cost $475 Million Chip expert Shi Kan, a researcher at the Chinese Academy of Sciences and a popular tech creator, explains the immense challenges of chip development. Chips are foundational to modern technology, but their creation is extraordinarily difficult. The journey from sand to a functional chip involves complex design and manufacturing, but a critical bottleneck is verification—ensuring the design works flawlessly before costly production. A single, undetected bug can have catastrophic consequences, as illustrated by the infamous 1994 Intel Pentium FDIV bug. A flaw in the floating-point division unit forced a recall costing $475 million. Unlike software, chips cannot be easily patched after manufacture, making "first-time success" paramount. However, industry surveys show only 24% of chip projects achieve this; over three-quarters require at least one costly re-spin due to design flaws. Verification has thus become the dominant phase, consuming up to 70% of the design cycle. The core challenge is a "verification impossible triangle" between high performance, good debuggability, and low cost. Exhaustively verifying a modern CPU core could take 15,000 years with software simulation, or 30 years with advanced hardware emulation—timeframes utterly impractical for development. Despite being essential, verification is often seen as unglamorous "dirty work," receiving less academic attention than fields like AI. Shi and his team are tackling this by developing an agile verification research framework called ENCORE, based on FPGA technology, to improve verification efficiency and debug capability. Beyond research, Shi engages in public science communication through long-form video content, aiming to demystify chip technology, AI, and computer science. He argues for the value of pursuing "hard and long-term" endeavors, whether in the meticulous world of chip verification or in creating substantive educational content, believing such sustained effort is likely the right path forward.

marsbit1h ago

How Difficult is Chip Making? A Division Error Costs 475 Million Dollars

marsbit1h ago

Trading

Spot
Futures

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