📖 Overview

Use this tool to back-solve monthly savings needed for your retirement objective.

🧪 Example Scenarios

Use these default and higher-pressure example inputs to explore how sensitive this calculator is before using your real numbers.

InputBase CaseHigher Pressure Case
Target Portfolio ($)1,500,0001,725,000
Current Savings ($)120,000108,000
Expected Annual Return (%)78.4
Years To Goal2528.75

⚙️ How It Works

This computes required monthly contribution to reach a target future value from current savings and expected return.

The Formula

Monthly PMT = (FV − PV × (1+r)ⁿ) × r ÷ [(1+r)ⁿ − 1]
FVTarget future value (retirement nest-egg goal)
PVCurrent savings balance
rMonthly return rate = Annual rate ÷ 12 ÷ 100
nNumber of months until retirement
💡Starting early is the most powerful lever. Contributing $400/mo at 7% for 30 years yields the same result as $1,400+/mo over just 15 years.

Quick Reference

GoalCurrent $0, 7%, 30yrCurrent $50k, 7%, 30yrCurrent $100k, 7%, 20yr
$500k$409/mo$191/mo$706/mo
$1M$817/mo$599/mo$1,412/mo
$1.5M$1,226/mo$1,008/mo$2,118/mo
$2M$1,634/mo$1,416/mo$2,824/mo

When To Use This

  • Use this tool when you need a fast decision during active planning or execution.
  • Use this before committing money, time, or tradeoffs that are hard to reverse.
  • Use this to compare options using the same assumptions across scenarios.

Edge Cases To Watch

  • Results can be misleading if key inputs are missing, stale, or unrealistic.
  • Very small or very large values may amplify rounding effects and interpretation risk.
  • If assumptions change mid-decision, recalculate before acting.

Practical Tips

💡 Revisit assumptions annually.
💡 Use multiple return assumptions for conservative planning.
💡 Run a best-case, base-case, and worst-case scenario before deciding.
💡 Use recent real values, not ideal assumptions, for better accuracy.

Frequently Asked Questions

❓ Why can required contribution be zero?

Current savings plus growth may already meet your target.

❓ Is return guaranteed?

No, market return is uncertain and this is a projection.