Government-backed IoT company Sequans plans to accumulate 100,000 Bitcoin over next five years
Key Takeaways
- Sequans plans to acquire 100,000 Bitcoin by 2030 as part of its long-term treasury strategy.
- The company is leveraging equity, debt, and intellectual property monetization to fund ongoing Bitcoin purchases.
Sequans Communications, a Paris-based semiconductor company backed by the French government, announced Thursday its plans to acquire 100,000 Bitcoin by the end of 2030.
The announcement comes after Sequans secured $384 million through debt and equity to start its Bitcoin treasury initiative. The company currently holds 3,171 Bitcoin, ranking it as the 22nd largest publicly traded corporate Bitcoin holder globally, according to BitcoinTreasuries.net.
“Sequans has successfully completed the first phase of its strategy, acquiring over 3,000 BTC in just one month,” said Dr. Georges Karam, CEO of Sequans. “Our next objective is to scale our approach to maximize Bitcoin per share and deliver sustained value to shareholders through disciplined and responsible accumulation, with a target of acquiring 100,000 BTC by 2030.”
Sequans has laid out a phased treasury strategy, with 2025 focused on building its Bitcoin base through public capital raises. In 2026, the company aims to ramp up growth via equity issuance, Bitcoin-backed lending, and possible monetization of its intellectual property portfolio.
The final stage, extending to 2030, will prioritize optimizing the treasury strategy and capital structure through Bitcoin-backed financial instruments, while limiting the use of common equity issuance
Listed on the NYSE under SQNS, Sequans specializes in 4G/5G cellular technology for the Internet of Things (IoT). Shares of Sequans were down 7% at market close Thursday, according to Yahoo Finance data .
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
You may also like
Musk on chip production: China's large-scale manufacturing capacity often exceeds the sum of all other regions worldwide
After ChangXin Memory Technologies announced a key breakthrough in DDR5 server memory, the Philadelphia Semiconductor Index in the US stock market fell 2.7% overnight, with shares such as Micron and SK Hynix ADR dropping collectively. Musk commented on this trend, saying that when China figures out the manufacturing method of a product, its ability to scale production often exceeds that of the rest of the world combined, and stated that "China seems to be rapidly conquering" general standard specifications such as LP5 and LP6.

IREN reports $702.6 million net loss despite $4 billion in AI cloud contracts
The current AI frenzy: featuring both "Tech and Internet" and "Real Estate" bubble characteristics, reminiscent of the 2008 global capital cycle
This wave of the AI boom exhibits dual characteristics: On a micro level, the heavy-asset nature of AI data centers is driving the industry toward "real estate-like" debt financing models, such as corporate bonds, private credit, and computing power ABS. On a macro level, nearly $2 trillion in overseas excess savings is flowing into core AI assets in the U.S. stock market through private institutions, reconstructing a transnational capital cycle reminiscent of the period before the 2008 subprime mortgage crisis. With nearly $3 trillion in off-balance sheet debt and rising interest rates, the industry is facing an impending major liquidity test.

AI Trading Faces a "Vulnerable Moment"! Japan and South Korea Stock Markets Experience "Black Tuesday" as SK Hynix, Samsung, and SoftBank Plunge Together
On Tuesday, Asian tech stocks faced a new round of systemic sell-off as the overnight weakness in the US semiconductor sector spread to the Asia-Pacific market. Concerns intensified over increasingly fierce competition due to the technological breakthrough by Chinese memory chip manufacturer ChangXin Memory Technologies, as well as worries about the returns on AI capital expenditure and the overall financing environment.