Want to Follow SpaceX? Data Shows 30 Star U.S. IPO Stocks Mostly Halve in First Year

marsbitPubblicato 2026-06-11Pubblicato ultima volta 2026-06-11

Introduzione

"SpaceX is set for a historic IPO on June 12 under ticker SPCX, pricing at $135 per share to raise $75 billion at a valuation of about $1.75 trillion. However, data from Motley Fool on 30 high-profile tech IPOs since 2012 reveals a challenging pattern for new investors. Median returns were -9% after six and twelve months, with a median maximum drawdown of 54% in the first year. No company avoided a significant decline, including later successes like Meta and Palantir. Morningstar estimates SpaceX's fair value at only around $780 billion, less than half its IPO valuation. Despite SpaceX's dominant market share in U.S. rocket launches and a profitable Starlink subscriber base, its financials show a $4.9 billion net loss in 2025 and a trailing twelve-month revenue of $18.7 billion, resulting in a price-to-sales ratio exceeding 90. Analysts caution that while the IPO may see initial gains, historical trends suggest a high probability of substantial price declines and volatility in the following year."

Author: Curry, Chaoxiang Research

Synopsis: SpaceX is set to price after market close on June 11 and list on Nasdaq on the 12th under ticker SPCX, with an offering price of $135 per share, a valuation of approximately $1.75 trillion, raising $75 billion, making it the largest IPO in history.

However, historical data from 30 star tech IPOs compiled by Motley Fool shows: the median returns 6 months and 12 months post-listing were both -9%, with a median maximum drawdown of 54% in the first year, and none escaped unscathed. Morningstar's fair value estimate is only about $780 billion, less than half the offering valuation.

This Friday (June 12), SpaceX will list on Nasdaq under the ticker SPCX. According to a Reuters report on June 3, the offering price was set at $135 per share, issuing about 5.56 billion shares to raise $75 billion, corresponding to a valuation of about $1.75 trillion (some sources calculate it as $1.77 trillion based on post-offering shares). By either measure, this is the largest IPO in stock market history, with Goldman Sachs leading a syndicate of 21 underwriters. The final pricing will be determined after the U.S. market close on June 11.

The hype is undeniable. SpaceX stated in its S-1 filing that the company has "identified the largest executable total addressable market in human history," quantified at $28.5 trillion. The retail allocation was set at about 30% of the float, roughly three times the usual level for large IPOs.

The problem is, for ordinary investors rushing in on the first day, the answer provided by historical data is quite grim.

The Median Ledger: Small Gains in the First Three Months, Collective Losses After Six

In an article published on June 9, Motley Fool analyst Ryan Vanzo analyzed the post-listing performance of 30 star technology companies since 2012, with a sample ranging from Facebook and Twitter to Coinbase, Robinhood, Rivian, Arm, and CoreWeave.

The shape of the median curve is telling: median returns were +3% after 1 week, +1% after 1 month, and +4% after 3 months—all passable up to this point. But extending to 6 months, the median becomes -9%; at 12 months, it remains -9%. The proportion of companies with positive returns also collapses in sync, dropping from 57% maintained in the first three months to 43% at both the 6-month and 12-month marks. In other words, holding for a full year results in losses for most momentum buyers.

Individual stock divergence is extreme. CoreWeave soared 300% three months after listing, Palantir gained 164% in three months, and Zoom rose 142% in twelve months. But negative cases are equally dense: Lyft fell 65% in twelve months, Robinhood dropped 74%, Rivian fell 67%, and Coupang declined 65%. There is no stable relationship between star power and post-IPO returns.

Median Maximum First-Year Drawdown 54%, Robinhood and Coinbase Both Halved

More striking than returns are the drawdown figures. The median maximum drawdown within the first year of listing for the 30 companies was 54%, with an average of 55%. Okta had the smallest drawdown at 20%, and none avoided it.

Two platforms familiar to crypto users are in the hardest-hit areas. Robinhood's maximum drawdown in its first year was 90%, the highest among the 30; Coinbase saw a 57% drawdown. Even companies later proven to be big winners were not exempt: CoreWeave had a 65% first-year drawdown, Palantir 53%, and Meta (then Facebook) 54%. This data points to a simple conclusion: even if you pick the right company, buying at the opening price will likely subject you to floating losses at the halving level first.

Academic research paints a similar picture. Jay Ritter, Director of the IPO Research Program at the University of Florida, tracked 1,479 IPOs from 2012 to 2021, finding an average first-day return as high as 23.6%, but the average total return over the subsequent three years was only 10.6%. The Wall Street Journal cited Ritter's data stating that investors who bought on the first day and held for three years underperformed a market-cap-weighted index by about 21%. The excitement of the first day largely borrowed future gains.

SpaceX's Ledger: $18.7 Billion in Revenue Supporting a $1.75 Trillion Valuation

Returning to SpaceX itself, the valuation debate is more concrete than historical patterns.

According to financial data cited by The Motley Fool, SpaceX's 2025 revenue was $18.7 billion, a 33% year-over-year increase, but it reported a net loss of $4.9 billion, reversing a profit of about $790 million in 2024. S-1 data compiled by BitMEX shows a single-quarter net loss of $4.28 billion in Q1 2026, with cumulative losses reaching $41.3 billion, of which the AI business (post-merger with xAI) burns about $2.5 billion per quarter. Calculated at a $1.75 trillion valuation, the price-to-sales ratio exceeds 90 times.

Morningstar's stance is the most direct. Analysts at the firm called SpaceX "severely overvalued," suggesting long-term investors will have opportunities to buy at better margins of safety after the IPO, and set the fair value estimate at approximately $780 billion, less than half the offering valuation. A reference point: SpaceX's over-the-counter tender offer in December 2025 corresponded to a valuation of about $800 billion. In just over half a year, the pricing more than doubled.

Bullish logic also exists. The rocket launch business holds over 80% of the U.S. market share, and Starlink has over 12 million paying subscribers and is profitable, forming the foundation of this valuation. Vanzo's own judgment is that SpaceX's stock will likely perform well on its first trading day, but given the valuation level and historical data, it wouldn't be surprising to see the stock struggle over the next 12 months.

For those preparing to place orders on Friday, this data from 30 companies is at least worth a glance: history doesn't guarantee repetition, but halving in the first year has been the norm for this game over the past fourteen years.

Domande pertinenti

QAccording to the article, what is the historical median performance of 30 high-profile tech IPOs after 12 months, based on Motley Fool's data?

AAccording to Motley Fool's data on 30 high-profile tech IPOs since 2012, the median return after 12 months is -9%.

QWhat is the median maximum drawdown in the first year for the 30 IPO companies studied, and which company had the worst drawdown?

AThe median maximum drawdown in the first year for the 30 companies is 54%. The company with the worst drawdown was Robinhood, with a 90% drawdown.

QWhat does the article state as Morningstar's fair value estimate for SpaceX, and how does it compare to the reported IPO valuation?

AMorningstar's fair value estimate for SpaceX is approximately $780 billion. This is less than half of the reported IPO valuation of about $1.75 trillion.

QBased on financial data cited in the article, what was SpaceX's revenue and net profit/loss for 2025?

AIn 2025, SpaceX's revenue was $18.7 billion, but it reported a net loss of $4.9 billion.

QWhat key reasons does the article mention for investors being bullish on SpaceX's valuation?

AThe article mentions that the bullish case for SpaceX's valuation is based on its rocket launch business holding over 80% of the U.S. market and its Starlink service having over 12 million profitable subscribers.

Letture associate

Bitcoin Mining Farms Are Becoming AI Factories

Bitcoin mines are transforming into AI factories. This shift is driven by the convergence of three key assets from the previous crypto cycle: infrastructure, talent, and capital. Crypto mining companies like Crusoe, CoreWeave, and Bitdeer are repurposing their core competency—securing power, land, and grid connections in remote locations—to build data centers for AI clients. These firms are signing multi-billion dollar, long-term contracts with companies like Anthropic, AWS, and Microsoft, as AI's demand for reliable, high-capacity compute surpasses the profitability of Bitcoin mining. Simultaneously, crypto entrepreneurs and engineers are applying their skills to new AI ventures. Examples include OpenSea's co-founder launching OpenRouter (an AI model aggregator), and former Coinbase engineers building Fal.ai (a generative media infrastructure platform). Their experience in building scalable, global software networks translates effectively to the AI space. Furthermore, capital accumulated during the crypto boom is now fueling AI. Figures like Jed McCaleb (co-founder of Ripple) funded Voltage Park, a large-scale GPU cloud provider. Notably, some crypto investments, like FTX's early bets on Anthropic and Cursor, have generated astronomical paper returns, demonstrating how high-risk crypto capital flowed into AI before it became mainstream. The transition is not just about repurposing hardware, but about redirecting critical resources—power infrastructure, distributed systems expertise, and venture funding—to the next technological frontier: artificial intelligence.

链捕手11 min fa

Bitcoin Mining Farms Are Becoming AI Factories

链捕手11 min fa

Morpho Launches Fixed-Rate Product Midnight: Lenders and Borrowers Set Their Own Rates, Ending the Era of Interest Rate Models

Morpho Launches Fixed-Rate Product Midnight: Lenders and Borrowers Set Their Own Rates, Ending the Era of Algorithmic Interest Models On-chain lending has grown to $60 billion but remains minuscule compared to traditional finance's $200 trillion annual credit volume. Morpho identifies the lack of fixed rates and maturity dates as key bottlenecks. Institutions need predictability, not the passive floating rates set by algorithmic models. Midnight allows lenders and borrowers to directly quote rates, set terms, and become price makers, not takers. Fixed-rate lending is now viable due to cheaper, faster blockchains and the entry of institutions demanding control and certainty over returns, costs, and duration. Morpho Blue previously gave users control over risk; Midnight adds control over interest rates. Past attempts at on-chain fixed-rate lending failed primarily because they were built on top of floating-rate pools (creating unpredictability) or lacked sufficient active participants. Midnight avoids these pitfalls as a standalone primitive with fixed rates at its core, built upon Morpho Blue's existing large and active user base. Midnight offers distinct value: institutions gain predictable term structures and full control; fintech companies can offer tailored fixed-rate products; lenders/borrowers achieve predictability and efficiency; and curators can now differentiate by configuring both risk and interest rates. Morpho Midnight is not a replacement for Morpho Blue. The Morpho network will now feature two complementary market structures: floating-rate/open-term (Blue) for flexibility and fixed-rate/fixed-term (Midnight) for predictability. Liquidity can flow between them. The launch will be gradual, prioritizing security. Initially, it will support direct lending on Base network with one trading pair (cbBTC/USDC) and limited maturity dates. Advanced features like auto-rollovers will be introduced later.

marsbit12 min fa

Morpho Launches Fixed-Rate Product Midnight: Lenders and Borrowers Set Their Own Rates, Ending the Era of Interest Rate Models

marsbit12 min fa

human.tech Launches Clean SDK for Privacy-First Web3 Apps

human.tech has launched the Clean SDK, a toolkit enabling developers to build privacy-first Web3 applications with transparent accountability. Released alongside Aztec's version 5, the SDK provides components for integrating zero-knowledge identity verification, sanctions screening, and private transactions, without developers handling sensitive user data or building compliance infrastructure from scratch. It uses zero-knowledge proofs and programmable verification to allow apps to confirm user legitimacy and sanctions compliance while keeping identities confidential. The first application built on the SDK, Shield, a privacy bridge to Aztec, also launched. It allows users to transfer assets privately while proving a unique human is behind each transfer and that funds have passed sanctions checks, as verified by a May 2026 audit. The SDK offers three core verification techniques: Proof of Innocence (sanctions screening against 23 sources), Proof of Personhood (simpler verification via Human Passport), and Proof of Clean Hands (higher-assurance zero-knowledge government ID checks). This allows apps to authenticate users and transactions without exposing personal data. Designed for Aztec builders, the SDK lets developers add programmable privacy to decentralized apps, eliminating the need to create their own verification and ZK infrastructure. Shield demonstrates its practical use for private bridges, but the SDK aims to enable a wider ecosystem of private, accountable financial apps and services. The launch addresses growing demand for infrastructure that balances privacy and accountability. The SDK avoids traditional identity databases, storing encrypted data off-chain, screening at both entry and exit points, and including a gated disclosure mechanism for legal requests. human.tech's products, including the Clean SDK, focus on using zero-knowledge technology to enable verifiable personhood and privacy in digital systems.

TheNewsCrypto48 min fa

human.tech Launches Clean SDK for Privacy-First Web3 Apps

TheNewsCrypto48 min fa

Unlocking $100 Million in Liquidity? Pump.fun's New Policy Tests the 5-Minute Pump Technique

Pump.fun, a popular meme coin launchpad, has introduced a new standard mechanism called BOOST. It aims to address a significant capital efficiency issue: when a newly launched token graduates from its initial bonding curve to a liquidity pool (LP), roughly 20% of its liquidity becomes permanently locked as "dead liquidity," estimated to waste over $100 million annually. Instead of locking these funds permanently, BOOST repurposes them. Upon a token's migration, approximately 20% of the settlement funds (e.g., 17.6 SOL or ~$2516 USDC) are used to buy back the token on the open market over a 5-minute period via a Time-Weighted Average Price (TWAP) mechanism. All purchased tokens are immediately burned. This creates a brief, systematic buy pressure immediately after migration, potentially generating a short-term price surge ("pump") while permanently reducing the token's circulating supply. The goal is to enhance the immediate post-launch trading experience, potentially increasing trader retention and sustainable protocol revenue, which funds ongoing token buybacks. However, concerns exist that this artificial 5-minute boost could lower the barrier for launching low-quality tokens and lead to steeper price crashes once the buy pressure stops, if followed by large sell-offs. The feature automatically applies to tokens migrating after July 21, 2024, but not to previously migrated tokens or those launched via the Mayhem AI Agent lab.

marsbit56 min fa

Unlocking $100 Million in Liquidity? Pump.fun's New Policy Tests the 5-Minute Pump Technique

marsbit56 min fa

Trading

Spot
活动图片