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FinToolSuite
Updated April 20, 2026 · Cloud & Tech · Educational use only ·

Technical Debt Calculator

Cost of technical debt.

What technical debt costs the business in a year — team size, salaries, debt-fix time percentage, and the velocity drag it creates on shipping.

What this tool does

This calculator estimates the annual financial impact of technical debt on an engineering organisation. It combines two cost components: direct costs from engineers spending time on debt-related work (fixes, refactoring, maintenance), and indirect costs from velocity drag—the slowdown in shipping new features and products caused by that debt. The result represents the annual expenditure in your currency tied to technical debt activity. The calculation multiplies your team size by average engineer salary, then applies the percentage of time spent on debt work and the percentage velocity reduction. Organisations with larger teams, higher average salaries, or greater time allocation to debt will see higher figures. The output is for illustration purposes and assumes consistent salary and productivity across the team. It does not account for quality improvements, risk mitigation, or longer-term strategic benefits that debt reduction might create.


Enter Values

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Formula Used
Team
Salary
Debt %
Drag %

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Disclaimer

Results are estimates for educational purposes only. They do not constitute financial advice. Consult a qualified professional before making financial decisions.

Technical debt costs engineering teams in two ways: direct time spent maintaining/fixing legacy code (typically 15-30% of engineering time), and velocity drag from working around technical limitations (10-25% slower feature development). Combined, tech debt can consume 25-50% of engineering capacity in mature codebases.

10 engineers × 80k avg salary = 800k total eng cost. 20% direct debt time = 160k. 15% velocity drag = 120k. Total tech debt cost: 280k/year or 35% of engineering budget. That's the amount you'd recover by eliminating all tech debt (impossible in practice - but 50% reduction is achievable with focused effort).

Tech debt is like financial debt: manageable when small, crushing when large. The interest rate on tech debt is the velocity drag - every sprint, existing debt makes new features take longer. Best organisations budget 15-20% of engineering time for deliberate debt reduction, targeting highest-drag areas first.

Run it with sensible defaults

Using engineering team size of 10, avg engineer salary of 80,000, tech debt time of 20%, velocity drag of 15%, the calculation works out to 280,000.00. The defaults are meant as a starting point, not a recommendation.

The levers in this calculation

The inputs — Engineering Team Size, Avg Engineer Salary, Tech Debt Time %, and Velocity Drag % — do not pull with equal force. Not every input has equal weight. Adjusting one input at a time toward extreme values shows which ones move the result most.

How the math works

Direct cost = team × salary × debt time %. Velocity cost = team × salary × drag %. Total = sum.

What the score tells you

Headline financial numbers — income, savings, debt — each tell part of the story. This calculation stitches several together into a single read you can track over time. The value is in the direction, not the absolute number.

What this doesn't capture

The score is a composite of the inputs you provide. Life context — job security, family obligations, health, housing — doesn't appear in the math but shapes the real picture. Use the number as a prompt, not a verdict.

Example Scenario

10 × ££80,000 × (20% + 15%) = 280,000.00.

Inputs

Engineering Team Size:10
Avg Engineer Salary:£80,000
Tech Debt Time %:20
Velocity Drag %:15
Expected Result280,000.00

This example uses typical values for illustration. Adjust the inputs above to match a specific situation and see how the result changes.

Sources & Methodology

Methodology

The calculator computes the total cost of technical debt by quantifying both direct and indirect expenses. It multiplies engineering team size by average engineer salary to establish the total payroll cost. Direct cost is then derived by applying the tech debt time percentage to this figure, representing salary spent on addressing accumulated debt rather than feature development. Velocity drag cost is calculated by applying the velocity drag percentage, which models productivity loss and rework cycles caused by debt. These two costs are summed to produce total technical debt cost. The model assumes a linear relationship between team size, compensation, and time allocation; treats both metrics as additive; and does not account for regional salary variation, non-salary overhead, team turnover, or the non-linear nature of technical debt accumulation over time.

Frequently Asked Questions

How to measure tech debt time?
Track sprint allocation: % of points/hours on debt vs features. Most teams undercount by 30-50% because small 'just fix this quickly' tasks add up. Better: tag all Jira tickets as feature/debt/bug and measure quarterly.
Is 20% debt time normal?
Yes, for mature codebases. New startups: 5-10%. 3-5 year old products: 15-25%. Legacy systems: 30-50%. Above 30% typically signals need for major refactoring or rewrite. Industry average across all software: 23% (Stripe research).
How to reduce velocity drag?
Prioritize highest-drag areas (usually: test infrastructure, deployment pipeline, data models, core libraries). Focus 2-3 sprints on one area for visible improvement rather than spreading thin. Measure: feature velocity before and after to prove impact.
Rewrite?
Usually no. Rewrites take 2-3x longer than estimated and often recreate similar debt in new code. Better: strangler fig pattern (replace piece-by-piece), targeted refactoring of highest-pain areas, invest in automated testing to enable safer changes.

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