Mining Profitability Calculator

Estimates daily, monthly, and break-even mining returns from inputs: hashrate, hardware power draw, electricity cost per kWh, pool fees, current network difficulty, and the chosen coin's block reward. Output assumes constant difficulty and price for the projection period.

Real-world profitability fluctuates with price, difficulty adjustments, and electricity contracts. Estimates are useful for relative hardware comparison and threshold analysis rather than precise income forecasting.

The calculation core is straightforward. A miner's expected fraction of network rewards equals their hashrate divided by total network hashrate. Daily reward equals expected fraction multiplied by daily block reward (block reward × blocks per day). Daily revenue equals reward multiplied by coin price minus pool fees. Daily cost equals power draw in kilowatts × 24 hours × electricity rate. Daily profit is revenue minus cost. The break-even price is the price at which daily profit equals zero.

A worked example: a Bitcoin miner with 100 TH/s of hashrate (one Antminer S19 XP) at 3,000 W power draw, $0.08/kWh, 1% pool fee. Network hashrate ~600 EH/s, daily blocks 144, block reward 3.125 BTC (post-2024 halving), BTC price $60,000. Expected daily BTC = (100e12 / 600e18) × 144 × 3.125 = 0.000075 BTC. Daily revenue = $4.50, less 1% pool fee = $4.46. Daily power cost = 3.0 × 24 × $0.08 = $5.76. Daily profit = −$1.30. The example demonstrates that residential electricity rates make Bitcoin mining unprofitable on most modern hardware; industrial rates around $0.04/kWh would shift the same setup to profitability.

Difficulty adjustments are the dominant medium-term variable. Bitcoin recalibrates every 2,016 blocks (roughly two weeks) to maintain 10-minute block times. A 10% difficulty increase reduces a miner's expected reward share by 10%, all else equal. Difficulty has trended up at roughly 50–100% per year through hardware improvements and capital deployment, meaning a profitable rig today loses ground steadily without any price action.

Limitations: the projection assumes a static price and difficulty, which never holds in practice. Hardware degradation, hashrate fluctuations from cooling issues, pool downtime, and PSU efficiency losses all eat into real returns. Treat the output as a best-case scenario, not an expectation. The most useful application is comparative: ranking hardware options against each other under identical assumptions, or finding the electricity rate at which a given setup breaks even.