Find the average buy price of any stock you own across multiple purchase transactions. Enter each lot's quantity and price, and the calculator returns the weighted average - exactly what shows up as 'avg buy price' in your broker's portfolio.
Enter each buy lot: quantity of shares and price per share. We compute weighted average buy price (ignoring brokerage for simplicity).
Average buy price
₹1,033.33
Total shares
15
Total invested
₹15,500
After a new purchase, average price = (old qty × old avg + new qty × new price) ÷ (old qty + new qty). Same math as weighted mean of lot prices by quantity.
Does not include brokerage, taxes, or bonus / split adjustments. For sell decisions, also consider LTCG/STCG rules separately.
कुछ सामग्री अब भी अंग्रेज़ी में दिखती है।
When you accumulate a stock across multiple buy transactions at different prices, the relevant cost basis is the weighted average - not the simple average of the individual prices. Your broker computes and displays this on the portfolio screen, but if you've recently switched brokers, hold the same stock across multiple demat accounts (one personal, one HUF), or want to verify what your broker shows, doing the math yourself takes thirty seconds with this calculator.
The same calculation answers a strategically important question for averaging-down decisions: 'If I buy X more shares at Y price, what does my average cost become?' Knowing the new average lets you set a realistic break-even point and plan exit triggers - much more useful than buying impulsively because the price has fallen.
Enter your first transaction's quantity and price.
Add additional rows for each subsequent purchase at different prices.
View the weighted average buy price - this is your cost basis per share.
Use the 'add a future buy' input to model how an additional purchase at a given price would change your average.
Compare the average with the current market price to see your break-even and unrealised P&L.
The calculator multiplies each lot's quantity by its price, sums those products, and divides by the total quantity bought. This is the weighted-average cost basis used universally for portfolio tracking and capital-gains tax calculations on FIFO basis.
Avg = Σ(Qᵢ × Pᵢ) / Σ Qᵢ
Indian capital-gains tax follows FIFO - First In First Out - when you sell. The calculator's average is useful for portfolio tracking, but for tax computation each lot is matched against the earliest unsold lot at its specific cost. Use the average only for monitoring, not for capital-gains math at sale.
Brokerage and STT can optionally be added to your cost basis. Strict tax accounting allows brokerage and stamp duty (but not STT) to be capitalised into cost. For day-to-day portfolio averaging, most retail investors use bare price; for sale-time tax computation, add brokerage and stamp.
Stock splits and bonus shares change quantity but not effective cost basis. After a 1:1 bonus, your quantity doubles and your average halves - both adjust automatically in the broker's system. Always re-input your transactions after a corporate action if you're computing manually.
Total quantity 250 shares. Total cost 100×500 + 50×600 + 100×450 = ₹50,000 + ₹30,000 + ₹45,000 = ₹1,25,000. Average = ₹1,25,000 / 250 = ₹500. Your break-even is ₹500 per share. The simple average of the three prices is ₹516 - different and incorrect.
Current average: ₹800. New average if you buy 50 at ₹700: (100×800 + 50×700) / 150 = (80,000 + 35,000) / 150 = ₹766.67. The averaging-down moves break-even from ₹800 to ₹766.67 - a clearer answer than the gut-feel 'I'm averaging at ₹750'.
The weighted-average buy price across all your purchase transactions of a stock. It's the cost basis per share that determines your unrealised P&L on the portfolio screen.
Simple average treats each transaction equally; weighted average accounts for the quantity in each transaction. If you bought 100 shares at ₹100 and 1 share at ₹500, simple average is ₹300, weighted average is ₹103.96 - vastly different.
Yes. All brokers display weighted-average buy price. Some include brokerage in the cost basis, some don't - check the broker's note, the difference is small per share but adds up on large positions.
For pure portfolio tracking, bare price is fine. For tax-computation accuracy, you can add brokerage and stamp duty (but not STT) to the cost basis on each transaction.
If you average down (buy more at a lower price), yes - it falls. If you average up (buy more at a higher price), it rises. The math is mechanical: it always shifts toward the new transaction's price, weighted by quantity.
No. Averaging down without a fundamental thesis often turns small losses into large ones. The math is easy; the judgement is the hard part.
Indian financial products - home loans, fixed deposits, mutual funds, NPS, insurance - each carry their own quirks: monthly reducing balance vs flat-rate interest, quarterly vs monthly compounding, indexation on capital gains, the choice between the old and new tax regime. We design every finance calculator to use the formula that an Indian bank, AMC, or insurer would actually use, and to surface the assumptions in plain English so you can audit the result against your own statement.
Use this calculator alongside the EMI, SIP and inflation calculators to plan your money holistically. A standalone EMI number means little until you compare it with your in-hand salary, your existing debt-to-income ratio, and the impact of inflation on the real cost of the loan. The related-tool grid below makes it one click to chain these analyses together.
The Stock Average Calculator is part of the Finance suite on Online Calculator Tools, alongside 6 related calculators. All tools share the same UI patterns, the same privacy-first rendering (nothing is sent to a server), and the same commitment to showing the formula and assumptions behind every result.
