oracleflags$20badditionalcapitalraise

#OracleFlags$20BAdditionalCapitalRaise
Это одна из самых горячих и обсуждаемых тем на Уолл-стрит прямо сейчас. Ситуация вокруг Oracle (ORCL) выглядит как классическая "палка о двух концах" - гигантские перспективы против пугающей долговой нагрузки.
​Если разложить всё по полочкам, вот что происходит:
​1. В чём суть этого Capital Raise?
​Oracle официально подтвердила планы привлечь около $40 млрд финансирования на новый фискальный год. В эту сумму как раз входит та самая дополнительная программа продажи акций (at-the-market equity program) на $20 млрд.
​Компания вынуждена идти на такие меры, потому что её свободный денежный поток (Free Cash Flow) ушел в глубокий минус - по итогам года дефицит составил рекордные минус $23,7 млрд. Деньги "сгорают" из-за того, что капитальные затраты (CapEx) взлетели на 162% до $55,7 млрд ради строительства и переоборудования дата-центров под ИИ.
​2. Зачем им столько денег?
​У Oracle сейчас наблюдается аномальный спрос со стороны гигантов индустрии - NVIDIA, OpenAI, xAI (Илон Маск), Microsoft и Meta. Их общая книга неисполненных контрактов (RPO - Remaining Performance Obligations) раздулась до безумных $638 млрд. То есть клиенты буквально стоят в очереди и готовы заносить миллиарды, но у Oracle банально не хватает физических мощностей (серверов, чипов, дата-центров), чтобы этот спрос переварить.
​3. Почему инвесторы напряглись и уронили акции?
​Несмотря на то, что квартальный отчет по выручке и чистой прибыли превзошел ожидания аналитиков, рынок отреагировал падением акций (бумаги падали на 8% после оглашения планов). Причин для страха три:
​Размытие долей (Dilution): Вливание новых акций на $20 млрд напрямую размывает доли текущих акционеров.
​Даунгрейд от рейтинговых агентств: Буквально только что S&P Global снизило кредитный рейтинг Oracle до уровня 'BBB-' (всего на одну ступень выше "мусорного" статуса). Агентство прямо заявило, что недооценило масштабы трат на ИИ-гонку и что долг компании в $167 млрд начинает вызывать вопросы.
​Риск "одного клиента": Около половины всего бэклога ($638 млрд) приходится на контракты с OpenAI. Если у OpenAI возникнут проблемы с финансированием или спадет хайп вокруг их моделей, Oracle останется с огромными недостроенными дата-центрами и долгами.

Tech and macro traders, we have a massive divergence unfolding on the charts for Oracle (NYSE: ORCL). Despite posting record-breaking quarterly results, Oracle shares took an 8% to 10% dive following a shocking forward-looking financial disclosure.
Here is the data-driven breakdown of why Wall Street is hitting the sell button despite a massive AI revenue beat:
📊 The Earnings Beat
On the surface, Oracle’s Q4 Fiscal 2026 numbers were fundamentally spectacular, driven by surging AI infrastructure demand:
Record Revenues: Total Q4 revenue climbed 21% year-over-year to $19.2 billion, easily beating analyst estimates.Cloud Explosion: Cloud Infrastructure (IaaS) revenue skyrocketed by an incredible 93% to $5.8 billion.Massive Backlog: Oracle's Remaining Performance Obligations (RPO)—a key measure of contracted future revenue—ballooned by 363% to a staggering $638 billion.EPS Beat: Non-GAAP earnings per share came in at $2.11, handily beating the $1.96 Wall Street consensus.
⚠️ The Catalyst for the Drop: Severe CapEx & Dilution Fears
If the earnings were stellar, why the sudden selloff? The market was spooked by the sheer cost of keeping up in the AI infrastructure arms race:
The $20B+ Capital Raise: Management announced plans to raise approximately $40 billion in debt and equity financing for fiscal 2027. Crucially, this includes a $20 billion share sale (at-the-market equity issuance), immediately sparking fears of massive shareholder dilution.Burning Cash: To build out its data centers and secure advanced AI hardware, Oracle's capital expenditures jumped 162% to $55.7 billion in FY 2026.Negative Cash Flow: Because of this aggressive spending, the company reported a negative free cash flow of $23.7 billion for the fiscal year.
💡 The Takeaway
Oracle is aggressively transitioning into a foundational AI infrastructure giant, going head-to-head with AWS and Microsoft Azure. However, the market is signaling major concerns about the short-term balance sheet strain and the equity dilution required to fund this $40 billion expansion.
Are you viewing this aggressive drop as a prime buy-the-dip opportunity for long-term AI growth, or is the $20 billion stock dilution keeping you on the sidelines? Let's discuss your strategies below! 👇
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Newton Protocol is one of those projects that makes me pause for a moment, not because it is loud, but because it is trying to solve a problem that usually gets ignored until something goes wrong. I keep coming back to it for that reason. It is not just another crypto system asking for attention. It is trying to sit in front of behavior, not behind it.
That matters more than it might seem at first.
A lot of systems are built around punishment after the fact. Something breaks, someone gets blamed, a penalty is issued, and the whole thing is supposed to create discipline. In practice, though, organizations often learn how to live with penalties. They budget for them. They absorb them. They treat them as the cost of operating. Once that happens, the punishment exists on paper but loses much of its force in real life.
That is the problem Newton Protocol seems to be reaching for. The project appears to be built around a simple but serious idea: if you want people and organizations to behave differently, it is not always enough to punish them later. Sometimes you have to make the action itself harder, slower, more expensive, or impossible unless the right conditions are met. That is a much more demanding design problem than just writing rules. It asks whether enforcement can be made real enough to shape decisions before they happen.
I find that interesting because it pushes the conversation away from abstract governance and toward actual behavior. It is easy to say a protocol has accountability. It is much harder to make that accountability matter in a way that changes what organizations do every day. A company can always choose to look responsible while quietly accepting occasional losses. A protocol can always claim it has controls. The real question is whether those controls create consequences strong enough that they cannot simply be folded into normal operations.
That is where Newton Protocol becomes more than a technical concept. It starts to look like a test of whether deterrence can exist inside infrastructure.
If the cost of ignoring the rules is predictable, then people will predict it. If the cost is small enough, they will absorb it. If the cost is easier to carry than to avoid, the organization will adapt around the penalty instead of changing the behavior that caused it. This is why I do not think the existence of a liability mechanism is, by itself, the important part. Plenty of systems can threaten consequences. The harder question is whether those consequences are serious enough to change incentives.
That is also why the project feels more interesting when you think about it from the perspective of the organizations using it. Most organizations do not transform because a framework tells them they should. They change when the math changes. They change when the penalty for bad behavior becomes heavier than the cost of doing things properly. They change when ignoring the issue becomes more painful than solving it.
If Newton Protocol can reach that threshold, then it has something real.
If it cannot, then it risks becoming another layer of rules that looks meaningful but is quietly worked around.
What I like about the project is that it seems to understand this tension. It is not just trying to introduce more governance for the sake of governance. It is trying to make policy enforcement happen at the point where action is still stoppable. That sounds like a small distinction, but it is actually the entire game. Once the transaction is already done, the system is no longer preventing risk. It is only recording it.
And yet I do not think this is a simple story of technology solving human weakness. That would be too neat. The deeper issue is that protocols can influence behavior, but they cannot fully control organizational culture. They can force checks. They can define permissions. They can create friction. But they cannot directly make a company care more about internal accountability. If the culture inside the organization is weak, even a strong protocol may end up being treated as a cost center rather than a discipline mechanism.
That is where the project’s long-term value will probably be decided.
Not by whether the mechanism exists.
Not even by whether it works in a demo.
But by whether it becomes painful enough, uncertain enough, and visible enough that organizations stop treating violations as something they can simply absorb.
That, to me, is the real threshold Newton Protocol has to cross.
Until then, the project is interesting because of its ambition. After that, it becomes interesting because of its consequences.
And that difference is everything.
@NewtonProtocol #Newt $NEWT
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why most defi protocols are one hack away from losing everything
i want to talke about something that makes me genuineily uncomfortable when i think about how most defi protocols actually operate right now.
most protocols have an admin key. one private key that controls everything. minting, redemption, treasury management, access control. whoever holds that key holds the entire protocol.@NewtonProtocol
and the history of defi is full of stories about what hapens when that key gets compromised. billions lost. protocols drained overnight. users left with nothing. not because the smart contract had a bug. but because one key in the wrong hands bypassed every single security measure the protocol had.
i think this is the most underestimated risk in all of defi right now.
newton addresses this directly and the mechanic is simpler than you might expect. instead of letting a single key control privileged operations, newton lets protocols enforce multi party authorization at the policy level. a single key compromise isnt enough anymore. the policy requires multiple parties to sin off before anything sensitive executes.$NEWT
but it goes further than that. newton can enforce time delays on high value operations. velocity limits on how much can move in a given window. value limits on individual transactions. all running as policy checks before execution, not as manual controls that someone has to remember to apply.@NewtonProtocol
what i find genuinly interesting is that these protections run at the authorization layer. they cant be bypassed by going directly to the contract. the contract itself wont execute without a valid newton attestation. so even if someone gets the admin key, they still cant move funds that exceed the policy limits.
the bybit hack is a good example of why this matters. a compromised key led to one of the largest losses in defi history. a policy enforcing multi party authorization and value limits on that wallet would have made the attack significantly harder to execute at that scale.
i dont think people realize how much of defi security right now is based on hoping the right people keep their keys safe. newton moves that assumption into enforced policy.
and thats a fundamentaly diffrent kind of security.
@NewtonProtocol $NEWT #Newt
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