Key Points
Hui Ka Yan sentenced to life in prison for large-scale financial fraud from 2016 to 2021.
Evergrande and its property arm fined $2.35 billion total, among largest criminal penalties in Chinese court history.
Revenues were overstated by $80 billion over 2019 and 2020 through premature booking and asset inflation.
Over 50 Evergrande executives also sentenced on August 20, with terms ranging from 20 months to 18 years.
China’s Shenzhen Intermediate People’s Court sentenced Evergrande founder Hui Ka Yan, 67, to life in prison on August 20 for orchestrating large-scale financial fraud between 2016 and 2021. The court fined Evergrande Group 8.82 billion yuan ($1.31 billion) and its onshore operating unit Hengda Real Estate 7 billion yuan, confiscating all of Hui’s personal property. The verdict caps a dramatic fall for a man once named by Forbes as China’s richest billionaire with a $42.5 billion net worth in 2017.
How Hui inflated Evergrande’s assets
Between 2016 and 2021, Hui and Evergrande used sustained, large-scale financial fraud to inflate assets and conceal liabilities, according to the Shenzhen court. The company prematurely booked revenue from property sales before completion and delivery to buyers. Authorities found revenues were overstated by roughly $80 billion over 2019 and 2020 alone.
Charges against Hui and the guilty plea
Hui pleaded guilty in April to eight charges including illegal absorption of public deposits, fundraising fraud, illegally issuing securities, embezzlement of corporate assets, and bribery. The court said Hui gained control of financial institutions through bribery, though it did not name them. He was also deprived of political rights for life.
Evergrande’s collapse and broader impact
Evergrande defaulted on its debts in 2021 after the Chinese government introduced regulations limiting debt that property companies could hold. The company accumulated over $300 billion in liabilities and was ordered to liquidate assets. The developer delisted from Hong Kong’s stock exchange last year. More than 50 Evergrande executives were also sentenced on August 20, with prison terms ranging from 20 months to 18 years.
Economic damage and market disruption
The court found Hui’s actions caused exceptionally heavy economic losses and severely disrupted the order of the socialist market economy. The real estate crisis triggered by the government crackdown has weighed on China’s broader economy, as the sector traditionally accounts for one-quarter to one-third of GDP. Construction stalled on hundreds of property developments as companies scrambled for cash.
Final Thoughts
Hui’s life sentence marks the end of one of China’s most dramatic corporate collapses. For investors holding Evergrande securities or exposed to Chinese real estate, the verdict underscores the scale of fraud and the government’s resolve to pursue accountability. The $2.4 billion in fines signals that recovery for creditors remains uncertain.
FAQs
The Shenzhen court convicted Hui of large-scale financial fraud, embezzlement, bribery, and illegally absorbing public deposits between 2016 and 2021. He inflated Evergrande’s assets and concealed liabilities, overstating revenues by roughly $80 billion.
Evergrande Group was fined 8.82 billion yuan ($1.31 billion) and its property arm Hengda Real Estate was fined 7 billion yuan ($1.04 billion), totaling $2.35 billion.
Forbes named Hui China’s richest man in 2017 with a net worth of $42.5 billion. The court confiscated all his personal property as part of the sentence.
Evergrande defaulted in 2021 after the Chinese government introduced regulations limiting debt that property companies could hold. The company accumulated over $300 billion in liabilities.
Disclaimer:
The content shared by Meyka AI PTY LTD is solely for research and informational purposes. Meyka is not a financial advisory service, and the information provided should not be considered investment or trading advice.
About Author

Huzaifa Zahoor
Co FounderHuzaifa Zahoor is the engineer who built Meyka. He has spent years writing Python, training AI models, and building data pipelines specifically for financial markets. His technical articles have reached over 30,000 readers on Medium, so he knows how to make complex things easy to follow. If this article touches on how the tools work, he is the person who actually built them.
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