Real Estate Billionaire Grant Cardone Discloses Plans of Firm to Raise $1 Billion in Pre-IPO for More Bitcoin Acquisitions

Cardone asked X’s AI Grok to value a firm with 2,000 Bitcoin and $40M cash flow before a $1B pre-IPO raise to acquire Bitcoins The mix links steady real estate income to a volatile asset: big upside if Bitcoin rises, but greater exposure to price swings.

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Meghna Chowdhury
Meghna Chowdhury
Meghna is a Journalism graduate with specialisation in Print Journalism. She is currently pursuing a Master's Degree in journalism and mass communication. With over 3.5 years of experience in the Web3 and cryptocurrency space, she is working as a Senior Crypto Journalist for UnoCrypto. She is dedicated to delivering quality journalism and informative insights in her field. Apart from business and finance articles, horror is her favourite genre.

Grant Cardone, founder and CEO of Cardone Capital and Cardone Training Technologies, recently asked X’s AI chatbot Grok to estimate a public valuation for his firm with $1.125 billion in assets, $430 million in debt, 2,000 Bitcoin on its balance sheet, and $40 million in recurring annual free cash flow to be used to buy more Bitcoin. 

He said the company plans to raise $1 billion pre-IPO to fund further Bitcoin purchases. Cardone runs Cardone Capital, which manages about $5 billion in real estate, and he posted his question on X(Twitter) to see how an AI would value the mix of property and crypto.

Cardone’s request to Grok

Cardone turned to Grok to run the numbers on a hybrid model. He laid out assets, liabilities, current Bitcoin holdings and a plan to turn ongoing property cash flow into more Bitcoin. 

He also noted a $1 billion pre-IPO raise aimed at more Bitcoin purchases. The post asked the AI to treat the firm as a public company. The move shows he wants a simple, fast estimate from an automated source.

Pilot project in Florida

Earlier this year, Cardone started a pilot fund in Melbourne, Florida. He bought an apartment complex on the Space Coast for $72 million. He then added $15 million in Bitcoin to the fund, bringing the total to $88 million. 

The plan is to take the property cash flow and buy Bitcoin each month. That dollar-cost averaging will run for 4 years or until the fund’s asset mix shifts from 85% real estate and 15% Bitcoin to 70% real estate and 30% Bitcoin.

Also Read: Real Estate Giant Cardone Capital Unveils Hybrid Bitcoin-Real Estate Fund in Florida

How would the plan work?

The fund uses rent and other income to buy Bitcoin every month. That steady buying is meant to build a crypto reserve over time. 

If Bitcoin rises as Cardone expects, the holdings bought with property cash flow could grow a lot in value. The idea is to use a stable real estate base to support a growing crypto stake.

Bitcoin’s Price Actions

At press time, Bitcoin trades at $119,040.98 and is up 2.59% in the last 24 hours. The global market capitalization of Bitcoin stands at $2.36 trillion, while its trading volume over the past 24 hours increased by 2.66%. 

Those numbers matter because the value of Cardone’s plan depends on where Bitcoin goes next. Small swings in price can change the size of any crypto reserve built from real estate income.

What does this mean?

If Bitcoin gains value, the crypto part of the fund could become very valuable. If Bitcoin falls, the fund still holds real estate. The plan shifts some risk into price swings while keeping a base of physical assets.

Investors and watchers will look for three signs. One, whether the $1 billion pre-IPO raise succeeds. Two, how the fund’s monthly buys affect its asset ratio. Three, how Bitcoin’s price moves over the next months and years. Each will shape whether the model makes sense at scale.

Cardone’s experiment ties old and new finance in one plan. He is using a tried-and-true real estate engine to fuel crypto bets. If the math works, the approach could create a large Bitcoin reserve from steady rent checks.

Also Read: Grant Cardone’s $5.1B AUM Real Estate Company Adds Nearly 1000 Bitcoin To Its Balance Sheet

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