Bitcoin and Zcash Mining Difficulty Increases. What About Profitability?

cryptonews.ruPublished on 2026-09-07Last updated on 2026-09-07

Abstract

The mining difficulty for both Bitcoin and Zcash has increased alongside rising cryptocurrency prices and heightened miner activity. Contrary to expectations, the profitability of mining these assets has not improved. Bitcoin's mining difficulty rose by 1.13% to 127.45 trillion, requiring miners to compute roughly that many hashes to add a block and earn 3.125 BTC (approx. $250k). This followed a surge in the global hash rate, which exceeded 1,000 EH/s and even reached 1,130 EH/s recently. Despite Bitcoin's price trading around $79.5k, the average mining profitability, as measured by the Hashprice Index, slightly decreased to $39.3 per day for 1,000 Th/s of equipment. Similarly, Zcash's price surged nearly 50% weekly, surpassing $1.2k. Its network hash rate and mining difficulty also hit record highs. However, this increased competition negated potential profit gains from the price rise. Mining revenue per megawatt-hour for a top-tier device actually fell from $727 in late August to $708 on September 4th, demonstrating that higher prices did not translate into better mining returns.

The mining difficulty for Bitcoin and Zcash, as well as miner activity, have increased following the rise in the coins' prices. Contrary to expectations, the profitability of mining these cryptocurrencies has not increased.

Bitcoin mining difficulty rose by 1.13% to 127.45 T (trillion) following the latest adjustment, which occurs approximately every two weeks, according to CoinWarz. This means miners need to compute an average of about 127.5 trillion hash functions to add one block to the Bitcoin network and receive the new 3.125 $BTC reward ($250k at the current rate) for it.

The increase in difficulty followed a rise in miner activity — the global total hashrate of mining equipment once again exceeded 1000 EH/s (exahashes per second), rising by 7.58% over the week. And on Sunday, September 6th, it reached 1130 EH/s for the first time since May 25th.

The Bitcoin price is also fluctuating above summer levels, returning to May's highs. As of 1:00 PM Moscow time on September 7th, $BTC is trading around $79.5k.

Meanwhile, the average mining profitability, reflected by the Hashprice Index, was $40 after the difficulty adjustment but fell to $39.3 by Monday. This is the daily amount of Bitcoin a 1000 Th/s (terahashes per second) unit of equipment can mine.

Zcash Mining

The situation in mining the privacy-focused cryptocurrency Zcash is similar. The coin updated its multi-year high on September 7th, with its price exceeding $1.2k. The asset gained almost 50% in a week.

Also on September 7th, the computational power (solrate) rose to a record 32.6 GSol/s (gigasols per second), and the mining difficulty for $ZEC reached a historical high of about 298 M (million). According to TheEnergyMag's estimates, the increase in hashpower that began on Friday was equivalent to turning on nearly 6,000 Bitmain Z15 Pro units and coincided with the deployment of new equipment.

Therefore, the rise in the price of $ZEC did little to change mining economic efficiency, the outlet notes. Mining Zcash on a single latest-generation device generated $727 per MWh at the end of August when the token was priced below $900. On September 4th, when the price exceeded $1000, the revenue per megawatt was $708 (-3%).

end-content

Related Questions

QWhy did the mining difficulty for Bitcoin and Zcash increase?

AThe mining difficulty for Bitcoin and Zcash increased due to a rise in miner activity and the hash rate (computational power) of their respective networks, following the upward price movements of the coins.

QWhat is the current hashprice index for Bitcoin mining, and what does it represent?

AThe hashprice index for Bitcoin mining fell to $39.3 per day as of the report. This represents the estimated daily revenue in USD generated by a mining rig with a power of 1000 TH/s (terahashes per second).

QWhat was significant about the Bitcoin network's hash rate on Sunday, September 6th?

AOn Sunday, September 6th, the Bitcoin network's global hash rate reached 1130 EH/s (exahashes per second) for the first time since May 25th, indicating a significant surge in total mining power.

QDespite Zcash's price surge, what happened to the profitability of mining it?

ADespite Zcash's price surge to over $1,200, the profitability of mining it actually decreased slightly. The increased mining difficulty and network hash rate offset the higher coin price, leading to lower revenue per unit of mining power (e.g., revenue per MWh).

QWhat mining equipment is mentioned in relation to the recent increase in Zcash's hash rate?

AThe recent increase in Zcash's computational power (solrate) is associated with the deployment of new equipment, specifically mentioned as being equivalent to the activation of nearly 6,000 Bitmain Z15 Pro mining devices.

Related Reads

Founders Fund Leads $5 Million Token Purchase of ANVL: What Exactly is This "Non-Lending" DeFi Protocol Doing?

On October 6th, Founders Fund, led by Peter Thiel, invested $5 million to purchase ANVL tokens from the DeFi protocol Anvil's treasury. The round included participation from Pantera Capital and others, alongside angel investors like Compound founder Robert Leshner. Anvil is not a lending protocol. Instead, users lock assets like ETH or USDC into its vault to generate a verifiable on-chain "Letter of Credit" (LOC). This LOC acts as an economic guarantee, proving the user has sufficient locked collateral to back financial commitments, without borrowing funds. The protocol applies this mechanism to use cases like payment guarantees for merchants (via integration with Flexa) and enabling instant deposits for traders on exchanges like Bullish. Anvil's economic model is unique: it charges zero protocol fees. Its native token, ANVL, derives value solely from governance rights over parameters like supported collateral types. The total supply is 100 billion tokens. Despite an 83% price surge on the investment news, ANVL remains down approximately 89% from its all-time high. The protocol's Total Value Locked (TVL) has also fallen about 87% from its peak of ~$109 million in July 2025 to around $14 million currently. The investment represents a strategic bet that on-chain credit guarantees could become a significant category. Key factors to watch include the rate of real enterprise adoption through Anvil's SDK, the long-term sustainability of its zero-fee model, and the broader migration of traditional trade finance needs to blockchain infrastructure.

marsbit1h ago

Founders Fund Leads $5 Million Token Purchase of ANVL: What Exactly is This "Non-Lending" DeFi Protocol Doing?

marsbit1h ago

Mathematical Explosion: OpenAI Overnight Solves 722 Math Problems, Quasi-Riemann Hypothesis Proven

OpenAI has stunned the global mathematics and AI communities by releasing a GitHub repository containing 722 manuscripts addressing 372 previously unresolved major mathematical problem families, all reportedly generated by an unreleased internal AI model. The announcement, made without prior peer review, has provoked both excitement and alarm among mathematicians. The most notable breakthrough claims to be a proof of a "quasi-Riemann Hypothesis," establishing a zero-free region for Dirichlet L-functions with real part greater than 7/8 and eliminating the Landau-Siegel zeros—a significant leap in analytic number theory. The work has reportedly undergone formal verification using Lean. Other highlighted results include: unconditionally proving the NP-hardness of the basic semidefinite programming (SDP) threshold for approximation algorithms, based solely on P ≠ NP and circumventing the Unique Games Conjecture; proving the rational Hodge conjecture for abelian varieties with complex multiplication (CM); and resolving both the symmetric and asymmetric Mahler conjectures in convex geometry. According to OpenAI, most proofs were generated automatically by the model, with an average "thinking" time of just three hours per problem. This unprecedented scale and speed have sparked intense debate about the future of human mathematicians. While some express fear about the concentration of intellectual power, others see it as the dawn of a new era of discovery driven by AI. The mathematical world is now tasked with scrutinizing these claims, which, if verified, would represent historic milestones.

marsbit2h ago

Mathematical Explosion: OpenAI Overnight Solves 722 Math Problems, Quasi-Riemann Hypothesis Proven

marsbit2h ago

As Midterm Elections Approach, the Real Trade in U.S. Stocks Isn't About Who Wins

With the US midterm elections approaching in early November, political uncertainty has re-emenrged as a market variable. While market participants are weighing potential shifts in congressional control and policy direction, historical data suggests midterm elections themselves are not a definitive negative catalyst for US equities. Since 1937, the S&P 500 has averaged a positive gain of 9.2% in midterm election years, though this lags behind the 13.3% average for non-election years. A more consistent historical pattern is increased market volatility and a tendency for stronger performance concentrated in the fourth quarter, as political uncertainty is resolved. The article, citing analysis from J.P. Morgan and Capital Group, argues that the market's primary concern is policy path uncertainty rather than which party wins. This uncertainty tends to depress markets in the run-up to the vote, with a potential rebound afterward as the political risk premium dissipates. However, the article cautions against attributing market performance solely to the election. Recent midterm years like 2018 and 2022 saw significant market declines primarily driven by factors like Federal Reserve tightening and inflation, not the election outcome itself. The core argument is that the midterm election's impact on markets is often secondary to more fundamental drivers. Regardless of whether the result is a unified or divided government, the market's longer-term trajectory has historically been determined by underlying economic conditions. For the current environment, the key variables to watch post-election are not political labels but the path of interest rates, corporate earnings trends, and whether any actual policy changes materially alter cash flow expectations for businesses. The election may influence sentiment and policy expectations, but the sustainability of any year-end rally will ultimately depend on these core fundamentals of profitability, rates, and economic data.

marsbit2h ago

As Midterm Elections Approach, the Real Trade in U.S. Stocks Isn't About Who Wins

marsbit2h ago

AI Can't Change 'DNA': How Long Can SanDisk Stay Strong?

**AI Cannot Alter the "DNA": How Much Longer Can Western Digital's Run Last?** This analysis examines the sustainability of the current "super cycle" for NAND flash memory, driven by AI, with a focus on Western Digital (WD). The core argument is that while AI demand has fundamentally shifted NAND's role from a data warehouse to an essential component on the compute path, especially for AI inference, this does not eliminate the industry's cyclical nature. The piece first assesses the supply-demand dynamics. On the supply side, major producers are showing capital expenditure restraint for NAND, prioritizing DRAM/HBM. Capacity growth through 2028 relies heavily on technological upgrades (increasing 3D layers to 300+) and expansion primarily from China's YMTC, rather than new fabs. Global new fab capacity from players like Samsung and WD/Kioxia is concentrated post-2029. This results in estimated bit supply growth (CAGR ~24% for 2026-2028) largely driven by higher per-wafer output. Demand is undergoing a structural shift. AI-related NAND demand (for data lakes, KV cache, and staging) is forecast to grow at a 75% CAGR from 2025-2028, becoming the dominant driver. Data center demand will surpass 50% of total NAND demand in 2026. Consumer demand (PC, smartphone) is being squeezed and is expected to decline or stagnate. A key 2027 demand catalyst is NVIDIA's Rubin platform with its dedicated contextual memory storage (ICMS). The analysis concludes that a supply-demand deficit will persist into 2027. However, 2028 is identified as a potential inflection point where supply (led by YMTC's new fab) could outpace demand, ending the price rally. For Western Digital, the analysis models a more conservative path than management's guidance. It forecasts Average Selling Price (ASP) peaking in FY28 (ending June 2028) before declining in FY29-30 as the market loosens, though supported by long-term agreements (LTAs) and a higher mix of data center products. Consequently, margins and profits are expected to peak in FY28 and then contract. The valuation suggests WD's current price largely reflects a neutral scenario, with limited short-term upside unless the market becomes convinced that prices will remain stable post-2028. The fundamental takeaway is that despite AI's transformative impact, NAND's cyclical "DNA" remains intact.

marsbit2h ago

AI Can't Change 'DNA': How Long Can SanDisk Stay Strong?

marsbit2h ago

Trading

Spot
活动图片