Cipher Digital Posts Rp31.6 Million Profit on Accounting Maneuver, Not Bitcoin
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- Cipher Digital mencatat laba bersih kuartalan Rp31,6 juta meski pendapatan anjlok 63% akibat penurunan penambangan Bitcoin.
- Laba tersebut bersumber dari keuntungan non-kas Rp127 juta terkait revaluasi waran yang diterbitkan untuk Google, bukan dari operasi riil.
- Perusahaan beralih ke bisnis pusat data AI dan telah mengantongi kontrak senilai sekitar Rp9,1 miliar di fasilitas Barber Lake.

Cipher Digital, a Bitcoin miner turned data center developer, reported third-quarter net income of US$31.6 million, equivalent to Rp31.6 million (at an assumed exchange rate of Rp1,000/US$; actual figures may differ). The result looks impressive against a 63% collapse in revenue to US$26.7 million from US$71.7 million in the same period last year. However, the profit largely stems from a US$127 million non-cash accounting gain arising from the revaluation of warrants issued to Google, not from the company's operating performance.
In a filing submitted to the SEC on 2 November, Cipher disclosed that revenue from Bitcoin mining contributed only US$20.8 million, down 71% year-on-year. The decline occurred because the company deliberately shifted computing capacity from mining to leasing data center space to artificial intelligence (AI) companies. The move marks the start of Cipher's business pivot from crypto miner to AI infrastructure provider, as the economics of Bitcoin mining weaken and demand for AI computing power rises.
Despite the positive net income, Cipher actually recorded an operating loss of US$71.9 million, widening from US$37.6 million the previous year. Adjusted EBITDA—which excludes certain accounting items—fell to negative US$10 million from a positive US$40.8 million previously. Accounting for the dilutive effect of warrants and other convertible securities, the company actually lost 22 cents per share. The net income figure of 8 cents per share came purely from non-cash gains that generate no cash for Cipher.
Nevertheless, Cipher is starting to reap results from its new business. In the quarter, the company recorded its first data center leasing revenue of US$5.9 million after the initial phase of its Black Pearl facility in Texas came online in August. Cipher halted Bitcoin mining at the facility in February to prepare it for new tenants. The move shows the company's commitment to the AI data center business line, which it believes has brighter prospects.
"We see strong demand from AI companies for data center capacity, and we are confident we can leverage our expertise in managing high-power infrastructure," a Cipher executive said in a written statement, as quoted from the SEC filing.
In addition, Cipher recently extended the Barber Lake data center lease to 20 years, bringing the total contract value at the site to about US$9.1 billion. The extension provides significant long-term revenue visibility, although it remains to be seen whether the company can execute this transition smoothly. The market appears to have welcomed the diversification move, reflected in Cipher's share price rising in after-announcement trading.
For Indonesia, the phenomenon of Bitcoin miners pivoting to AI data centers could serve as a mirror for the domestic crypto and data center industry. With global AI infrastructure needs rising, Indonesia has an opportunity to attract similar investment, especially if it can provide renewable energy and supportive regulation. However, challenges such as power grid readiness and competitive data center policy still need to be addressed so as not to fall behind neighbors like Singapore and Malaysia.
Going forward, Cipher's success will depend heavily on its ability to turn contracts into real revenue and control operating costs. If successful, this business model could become a blueprint for other crypto miners squeezed by high energy costs and Bitcoin price volatility. If it fails, however, the company risks being trapped in illusory accounting profits without fundamental improvement. Will Cipher prove that its pivot to AI is more than a short-term rescue strategy?



