Bitfarms grows revenue 72%, but losses widen – Here’s why!

ambcryptoОпубликовано 2026-04-02Обновлено 2026-04-02

Введение

Bitcoin mining faces significant pressure as hashprice drops to $30–$35, well below production costs of $80,000–$88,000 per BTC, leading to losses of $17,000–$19,000 per coin. Despite this, miners like Bitfarms continue expanding hashrate. Bitfarms reported a 72% revenue increase to $229 million, but net losses widened to $209 million due to non-cash accounting charges, including depreciation and Bitcoin price volatility. In response, the company is pivoting to high-performance computing (HPC) and AI infrastructure, with 2.2 GW of power capacity in development, aiming for more predictable revenue streams. This strategic shift may reposition Bitfarms as an infrastructure-focused business, reducing reliance on Bitcoin's cyclical volatility.

A clear tension is building in Bitcoin’s mining sector, where growth in activity no longer translates into financial stability.

According to CoinShares Q1 2026 report on Bitcoin mining, Hashrate held near 1,020 EH/s after peaking around 1,160 EH/s, showing miners continue expanding despite pressure.

However, hashprice has dropped to $30–$35 from over $60, cutting revenue per unit sharply. This happens because the halving reduced block rewards while the price has not risen enough to offset costs.

As a result, production costs near $80,000–$88,000 exceed current prices, leaving losses of $17,000–$19,000 per BTC.

Meanwhile, accounting rules amplify these losses through asset revaluation. This implies weaker miners may exit, while stronger players consolidate, tightening supply and influencing future price stability.

Bitfarms growth rises as accounting losses widen

As mining margins tighten across the sector, Bitfarms’ report results reveal how operational growth clashes with financial outcomes. Revenue rose 72% to $229 million, showing stronger output from expanded hashrate.

Source: Bitfarms

However, net losses widened to around $209 million, not from weak operations but from accounting pressure.

Depreciation hit $98 million, impairments reached $28 million, while $22 million reflected BTC price swings. This happens because fair-value accounting captures past volatility, even as current production improves.

Meanwhile, hashprice kept margins compressed, limiting cash generation.

Yet shares rose about 6%, showing investors’ focus on future positioning. This implies markets expect miners to evolve beyond BTC exposure, where diversification could reshape long-term valuation.

Bitfarms pivots to HPC and AI as mining margins compress

As mining margins remain under pressure, Bitfarms is actively repositioning its business toward HPC and AI infrastructure to secure more stable revenue. The company is building a 2.2 GW pipeline, with 341 MW already active and 1.5 GW in expansion, targeting high-demand data markets.

Source: Bitfarms

This shift is happening because hashprice stays compressed, making mining returns less predictable.

In response, Bitfarms is redirecting power capacity toward AI workloads, where long-term contracts offer higher margins and steady cash flow.

Industry trends support this move, with HPC revenue projected to reach 70% of miner income by 2026. The rebrand to Keel Infrastructure reinforces this transition.

This implies Bitfarms is evolving beyond Bitcoin exposure, positioning for more resilient, infrastructure-driven growth.

All this together, Bitfarms may reprice as an infrastructure play if HPC and AI drive stable revenue growth. However, if mining remains dominant, BTC volatility will continue shaping earnings, keeping the stock tied to cyclical crypto movements.


Final Summary

  • Bitcoin [BTC] mining margins compress as hashprice falls below costs, forcing weaker miners out while efficient players consolidate supply dynamics.
  • Bitcoin volatility still drives Bitfarms’ performance, but the HPC and AI pivot may shift valuation toward stable, infrastructure-led growth.

Связанные с этим вопросы

QWhy did Bitfarms' revenue grow by 72% despite widening losses?

ABitfarms' revenue grew 72% to $229 million due to increased output from expanded hashrate, but net losses widened to $209 million primarily due to non-cash accounting pressures including $98 million in depreciation, $28 million in impairments, and $22 million from BTC price volatility.

QWhat is the current hashprice range and how does it compare to previous levels?

AHashprice has dropped to $30–$35 per exahash from over $60 previously, representing a sharp decline in revenue per unit of computing power.

QHow are production costs comparing to Bitcoin's current price according to the article?

AProduction costs are near $80,000–$88,000 per Bitcoin, which exceeds current market prices, resulting in losses of $17,000–$19,000 per BTC mined.

QWhat strategic shift is Bitfarms making to address compressed mining margins?

ABitfarms is pivoting to High Performance Computing (HPC) and AI infrastructure, building a 2.2 GW pipeline with 341 MW already active, targeting high-demand data markets with long-term contracts that offer higher margins and steady cash flow.

QWhat percentage of miner income is HPC revenue projected to reach by 2026?

AHPC revenue is projected to reach 70% of miner income by 2026 according to industry trends mentioned in the article.

Похожее

How to Do Research Well: Deliberately Practice the Real Skills That Matter

No one truly teaches you how to do research. You're often given a desk, a pre-selected problem, and vague instructions to "create something new." Consequently, many people reverse-engineer the job based on visible outputs—papers, posts, announcements—learning only how to *appear* like a researcher rather than how to *become* one. True research capability is built from stacking small, trainable skills, nearly all of which can be developed through deliberate practice. **Pick Your Own Problem:** Most researchers absorb problems from advisors or trends, lacking the underlying reasoning. Choosing a problem you genuinely care about, as John Schulman advises, leads to original work. Develop "taste" like a muscle: predict experiment outcomes, guess paper results from methods, and track which findings remain important over time. **Upgrade Your Inputs:** Relying on shared reading lists (arXiv hot lists, filtered group chats) leads to unoriginal conclusions. Undervalued old literature often holds crucial insights (e.g., MoE, LSTM, backpropagation). Richard Sutton's "The Bitter Lesson" or Claude Shannon's 1952 talk on creative thinking are more predictive than lengthy modern surveys. Breadth matters as much as depth: draw from neuroscience, mechanism design, hardware knowledge, and honest statistics. Read papers directly, especially appendices and limitations sections. **Write Everything Down:** As Paul Graham noted, writing exposes flaws in seemingly mature ideas. Writing is the cheapest defense against self-deception. Following Feynman's principle, Darwin programmatically wrote down facts contradicting his theory to combat memory bias. Maintain a detailed log of hypotheses, setups, predictions, results, and updated understandings. Reviewing past logs fosters essential humility.

marsbit1 ч. назад

How to Do Research Well: Deliberately Practice the Real Skills That Matter

marsbit1 ч. назад

Following US Ban on Fable 5, Zhipu AI's Stock Soars 47%

On June 15th, shares of Zhipu AI surged dramatically on the Hong Kong stock market, peaking at a 47.6% gain before closing 32.82% higher. This sharp increase was directly triggered by two recent industry events. On June 12th, Anthropic announced it was suspending global access to its latest flagship models, Claude Fable 5 and Claude Mythos 5, to comply with a U.S. government export control order. The next day, Zhipu AI announced it would open access to its latest open-source flagship model, GLM-5.2, under the permissive MIT license. The Anthropic incident highlighted a critical issue beyond raw model capability: the risk of sudden, unpredictable loss of access to advanced AI models, especially for developers and enterprises deeply integrated with them. This has shifted industry and market focus toward factors like stability, sustainable access, and controllability. Zhipu's move, promoting "frontier intelligence for all," positions its openly available model as a reliable and accessible alternative. The GLM-5.2 model emphasizes "Long Horizon Task" capabilities with a 1M context window, targeting complex, multi-step coding and engineering workflows where maintaining context is crucial. Analysts note this event exposes the risk of dependency on closed-source models subject to single jurisdictional controls, potentially accelerating a shift toward domestic base models and localized deployments. The market's reaction signals a new valuation dimension in AI: providers who can offer stable, long-term, and sustainably accessible AI capabilities are gaining strategic importance.

marsbit1 ч. назад

Following US Ban on Fable 5, Zhipu AI's Stock Soars 47%

marsbit1 ч. назад

Fully Entering the AI Era: Alipay Bets on Conversation, WeChat Holds Fast to Social

In May 2026, Alipay announced over 300 million AI payment transactions. Shortly after, WeChat opened its mini-programs for AI integration, sparking controversy by requiring developer source code access. This highlights their diverging approaches to AI integration. Alipay is testing "Project Treasure," an optional AI-native interface replacing traditional app grids with a conversational window. Users can command complex tasks (e.g., "book a ride and order coffee") handled end-to-end by AI. This shift follows an abandoned standalone AI app, focusing instead on enhancing its existing user base. For unmodified mini-programs, Alipay's AI uses "screen-reading" to simulate user interactions, bypassing the need for developer overhaul. It also introduced "Token Pay" for micro-transactions and "AI Wallets" for autonomous agent spending. WeChat, prioritizing its core social function, is taking an embedded approach. Its AI agent will operate within existing contexts like group chats and official accounts, assisting without a separate interface. To enable this, WeChat offers developers two paths: granting source code access for direct AI control ("Automatic Mode") or manually encapsulating services into standardized "Skills." Both place significant burden on developers. Key differences emerge in handling legacy services: WeChat demands developer cooperation (code or labor), while Alipay's screen-reading offers immediate, if potentially less stable, compatibility. Alipay's 3 billion AI transactions demonstrate user acceptance of AI-driven commercial actions. The divergent strategies may reshape mini-program ecosystems—Alipay passively "AI-fying" services, WeChat potentially favoring resource-rich developers—and set competing technical standards. Ultimately, the competition centers on where users entrust the command to "help me get things done."

marsbit1 ч. назад

Fully Entering the AI Era: Alipay Bets on Conversation, WeChat Holds Fast to Social

marsbit1 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Как купить S

Добро пожаловать на HTX.com! Мы сделали приобретение Sonic (S) простым и удобным. Следуйте нашему пошаговому руководству и отправляйтесь в свое крипто-путешествие.Шаг 1: Создайте аккаунт на HTXИспользуйте свой адрес электронной почты или номер телефона, чтобы зарегистрироваться и бесплатно создать аккаунт на HTX. Пройдите удобную регистрацию и откройте для себя весь функционал.Создать аккаунтШаг 2: Перейдите в Купить криптовалюту и выберите свой способ оплатыКредитная/Дебетовая Карта: Используйте свою карту Visa или Mastercard для мгновенной покупки Sonic (S).Баланс: Используйте средства с баланса вашего аккаунта HTX для простой торговли.Третьи Лица: Мы добавили популярные способы оплаты, такие как Google Pay и Apple Pay, для повышения удобства.P2P: Торгуйте напрямую с другими пользователями на HTX.Внебиржевая Торговля (OTC): Мы предлагаем индивидуальные услуги и конкурентоспособные обменные курсы для трейдеров.Шаг 3: Хранение Sonic (S)После приобретения вами Sonic (S) храните их в своем аккаунте на HTX. В качестве альтернативы вы можете отправить их куда-либо с помощью перевода в блокчейне или использовать для торговли с другими криптовалютами.Шаг 4: Торговля Sonic (S)С легкостью торгуйте Sonic (S) на спотовом рынке HTX. Просто зайдите в свой аккаунт, выберите торговую пару, совершайте сделки и следите за ними в режиме реального времени. Мы предлагаем удобный интерфейс как для начинающих, так и для опытных трейдеров.

1.5k просмотров всегоОпубликовано 2025.01.15Обновлено 2026.06.02

Как купить S

Sonic: Обновления под руководством Андре Кронье – новая звезда Layer-1 на фоне спада рынка

Он решает проблемы масштабируемости, совместимости между блокчейнами и стимулов для разработчиков с помощью технологических инноваций.

2.3k просмотров всегоОпубликовано 2025.04.09Обновлено 2025.04.09

Sonic: Обновления под руководством Андре Кронье – новая звезда Layer-1 на фоне спада рынка

HTX Learn: Пройдите обучение по "Sonic" и разделите 1000 USDT

HTX Learn — ваш проводник в мир перспективных проектов, и мы запускаем специальное мероприятие "Учитесь и Зарабатывайте", посвящённое этим проектам. Наше новое направление .

1.8k просмотров всегоОпубликовано 2025.04.10Обновлено 2025.04.10

HTX Learn: Пройдите обучение по "Sonic" и разделите 1000 USDT

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на S (S) представлены ниже.

活动图片