On March 31, 2026, the NYSE-listed company Cango Inc.(NYSE: CANG) completed the delivery of a strategic financing totaling 75 million US dollars, officially disclosed on April 1 at 8 AM UTC. Part of it involved issuing 49,242,424 shares of Class A common stock to management-related parties, raising approximately 65 million US dollars settled in USDT, while the other part came from a 10 million US dollars convertible bond agreement signed with DL Holdings, which included 370,370 warrants. With large subscriptions from management "digging into their own pockets" and structured funds entering from Hong Kong’s financial service companies, the two layers of capital signals combined led the market to quickly interpret this seemingly routine mining company financing as a bet on transformation. The questions then arose: In the context of the traditional mining industry's transition to AI and computational infrastructure, what does this 75 million US dollars signify in terms of path choice? And how long will the market be willing to buy into such a story?

Management's Lavish 65 Million: A Bet and a Dilution Test

The announcement showed that Cango directed the issuance of 49,242,424 shares of Class A common stock to management-related parties for approximately 65 million US dollars, settled not through traditional dollar wire transfers but in USDT. Based on calculated values, the issuance price is around 1.32 US dollars/share, which raised different interpretations in the market as to whether it is a discounted "benefit bureau" or a near market price "working together." Regardless, under the established total share capital, such a scale of new share issuance objectively results in dilution of equity for existing shareholders, and how to counteract the dilution effect through future performance and valuation repricing will become the core of subsequent games.

From the perspective of corporate governance and information advantages, management's related party making a one-time outlay of 65 million US dollars is essentially a strong "trust vote." The party with the most internal information chooses to invest significantly at this moment at a level close to current valuations, which easily becomes a demonstration action interpreted by bulls as "I know the company better than you," and is also seen as a pre-lock-in of future AI + computational transformation paths. However, the market will also raise another issue: since management is both the decision-maker and a major shareholder, will this exacerbate minority shareholders' concerns about interests transfer and pricing fairness? In the structure of asymmetric information, the same investment can be interpreted as "sharing risks with shareholders" and also as "using power to lock in future excess returns," leading to this divergence.

DL Holdings Enters: The Time Dimension Behind Premium Warrants

Concurrently with the management's issuance, Cango signed a 10 million US dollars convertible bond agreement with DL Holdings(01709.HK). According to disclosures, this agreement includes 370,370 warrants, with the exercise price set at 2.70 US dollars/share. At current share price levels, this price of 2.70 US dollars has been flagged by multiple media as "significantly premium," suggesting that this portion of equity instruments will only be "valuable" if the company’s stock price sees a strong upward shift in the future. In the norms of capital markets, a high premium exercise price is often viewed as a clear long-term bullish expectation: confidence not only in the company's fundamentals but also in the overall uplift of the valuation platform after transformation.

It should be emphasized that the specific share conversion terms of the convertible bonds have yet to be fully disclosed, and the market is still awaiting more details; these structural terms will directly impact DL's risk-reward distribution in the future. However, even under the premise of opaque terms, DL's choice to bind with Cango as a main board financial service company in Hong Kong already adds value to the latter's compliance image and cross-market resources. On one hand, the involvement of an institution possessing mature licenses and cross-border financial networks helps alleviate some investors’ compliance concerns regarding USDT settlement and its ties to the crypto industry; on the other hand, the linkage of equity and debt between Hong Kong stocks and U.S. stocks also opens up more imaginative space for Cango to seek funding and partners in the Asian market in the future.

USDT Settlement Emerges: Mining Company Financing "Reverse Transformed" by Crypto Payments

In this financing case, the detail most amplified in the crypto circle is the 65 million US dollars increase using USDT settlement. For a company listed on the NYSE and under SEC disclosure regulation, choosing to value and pay in crypto assets is unusual for traditional investors. This arrangement not only reflects that the management and participating parties may be deeply embedded in the crypto asset ecosystem but also shows that in the scenario of cross-border large settlement, USDT has upgraded from a "miner settlement tool" to a capital medium that can directly appear in mergers and refinancing transactions of publicly traded companies.

Compared to traditional dollar wires, the advantages of USDT in cross-border efficiency are apparent: transfer confirmation time is shorter, and the blockchain’s programmable records naturally have traceability, reducing friction costs with intermediary banks. However, USDT settlement also means more complex regulatory and compliance scrutiny: sources of funds, anti-money laundering controls, blockchain path tracing, etc., all require additional internal control and auditing mechanisms to hedge potential risks. Cango’s choice of USDT in this context, rather than completely reverting to traditional banking channels, reflects an evolving practice in the crypto industry - transitioning from early mining-out-based computational and coin-based settlement to corporate-level capital operations, with USDT gradually assuming the role of "quasi-US dollar liquidity."

From Ore to Computation: A Funding Experiment for Transitioning to AI Infrastructure

According to publicly available information, Cango initially focused on the more traditional mining industry, but now points its transformation narrative toward AI and computational infrastructure. With limited verifiable information, outside observers cannot yet ascertain its specific project lists, regions, and technological routes, but the company uses a financing of 75 million US dollars to "double down on the new story," and the change in direction is already very clear: shifting from mining logic reliant on commodity prices and traditional capital expenditure cycles to an infrastructure logic based on data centers, computational leasing, and AI application demands.

This turn is not isolated in the current macro backdrop. Research briefs cite that recently the volatility of precious metals and crypto assets has diverged: while traditional safe-haven assets experience fluctuations, they are more constrained by macro rates and geopolitical factors, while the high volatility of crypto assets is more deeply tied to technological narratives and liquidity sentiments. In such an environment, mining companies transitioning part of their capital expenditure towards computational and AI-related businesses attempt to link to higher growth technology valuation stories, while also seeking to provide themselves with a relatively independent dimension for returns and risk hedging outside traditional commodity cycles.

In terms of scale, 75 million US dollars is not a giant sum amid the ongoing expansion of global mining company capital expenditure, but it is sufficient for a company to support a round of rhythmic trial and iteration as it shifts its business focus. The scale of funding is not too small to be merely "concept PPT," nor too large to be tied to a single project from the outset, giving management the space to adjust paths within the AI and computational infrastructure track. However, at the same time, the efficiency of capital use, the input-output cycle, and how to reflect the progress of transformation in financial reports will become the objects of the market's future stringent scrutiny.

Is This the Largest Mining Company Financing of the Year? Bulls and Bears Confront Over the Same Capital

Reports from Golden Finance called this financing by Cango one of the "largest publicly disclosed mining company financing cases since 2026," placing the 75 million US dollars within the global mining company financing sample, which indeed appears quite striking. On one end is a large subscription of 65 million US dollars from management-related parties, while on the other end, DL Holdings issued convertible bonds with a warrant exercise price significantly higher than the current price, and the entire financing structure, in both numbers and participant identities, offers rich interpretative space.

● From the perspective of bulls, this is a highly demonstrative "platform": management is putting real money where their transformation path is planned, conveying a signal of "I am willing to assume the same or even higher risks as shareholders"; DL, on the other hand, shows market tolerance and confidence for future price centers of gravity shifting with the 2.70 US dollars/share premium warrants. The combination of equity subscriptions combined with high premium warrants is viewed by bulls as a carefully crafted expectation management tool—offering a safety net within the current price range while reserving space for explanations on long-term valuation caps.

● Cautious funds may approach from the other end: the issuance of nearly 50 million shares leads to tangible equity dilution, the business path transitioning to AI and computational infrastructure has yet to be specifically disclosed, and the key terms of the convertible bonds remain a "black box"; adding to this, the 65 million US dollars settled in USDT might trigger additional scrutiny and doubts within the compliance frameworks of some institutions. In their view, this resembles a high-risk, high-uncertainty "story transition," where if the future project rollout does not meet expectations, the current capital structure adjustment may amplify the extent of stock price retraction.

The bulls and bears are confronting the same set of facts but providing starkly different answers on the "valuation anchor" and "execution ability assumptions." Because the size of this financing is significant enough within mining companies, and the identities of the participants are notably topical, it could either mark the start of Cango's successful transformation or later be viewed as a typical case of high-level restructuring.

The Funds Are in Place, but Cango's Transformation Story Has Just Begun

Returning to this transaction itself, management-related parties contributed 65 million US dollars, DL Holdings provided 10 million US dollars in convertible bonds, and adding USDT as a settlement medium, together constitute a highly mixed capital signal: insiders use their own funds to strengthen trust endorsement, while licensed external financial institutions provide structured support, and crypto assets further penetrate from being production tools to capital operations at the level of publicly traded companies. This combination is uncommon in traditional mining companies, yet it aligns well with the timing of the convergence of crypto and AI narratives.

The real suspense, however, centers entirely on the parts that have not yet been disclosed or implemented: how the specific share conversion and redemption terms of the convertible bonds will influence DL's future maneuvering stance; how the 75 million US dollars will be allocated internally based on business directions and timing rhythms remains unknown; the commercial model by which AI and computational infrastructure will present itself in financial reports also needs validation from future project disclosures and performance feedback. In other words, the funds have "taken position," but the success or failure of the story depends on execution.

For investors, the upcoming observation windows can be roughly divided into three dimensions: the first is regulatory and information disclosures, including the details of convertible bond terms, a broad direction explaining the use of funds, and further clarification of the compliance aspects of USDT settlement; the second is project and capacity realization, whether Cango can provide a clear roadmap for AI and computational infrastructure within a reasonable timeframe, rather than just staying in concept and valuation narratives; the third is performance and stock price feedback, where the gross profit structure, capital expenditure return rates, and market valuation performance during the next few financial report cycles will directly determine whether this 75 million US dollars is remembered by the market as a "textbook transformation example" or merely a footnote to a high-risk experiment.

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