Car Depreciation Calculator

About this calculator

Estimate car value from age, mileage and condition. Explore a modeled depreciation curve, future values and the cost of waiting to sell.

How to use the car depreciation calculator

Enter the original purchase or reference price when the vehicle was new, its whole-year age, current odometer and vehicle type. Quick Estimate uses 12,000 future miles per year, Average condition, a neutral Gas powertrain label and an initial five-year horizon. The prefilled 35,000 USD, four-year-old SUV with 62,000 miles is an example, not a detected vehicle.

More Accurate Estimate exposes annual mileage, condition, powertrain and a custom 1–10-year horizon. More inputs can better describe a scenario; the mode name does not promise measured accuracy. Blank annual mileage uses 12,000; blank horizon uses five. Zero annual mileage means no future driving. Returning to Quick restores the advanced defaults. Reset restores the entire worked example.

The model assumes an age-zero price and purchase when new. A price paid for a used vehicle at a later age cannot be treated as that reference without distorting the estimate. This version does not model purchase age or your actual ownership duration.

How car depreciation is estimated

All coefficients are explicit project assumptions in one versioned model. Starting with the entered price, apply the cumulative age retention factor, then mileage, vehicle type, condition and powertrain factors. Finally bound the value between 5% and 100% of the reference price. The floor is a numerical scenario convention, not guaranteed salvage value; the ceiling excludes appreciation.

The breakdown records each step’s difference from the preceding subtotal, including any floor or ceiling adjustment. For display, differences between rounded subtotals reconcile to the whole-dollar result. Internal projections use unrounded numbers.

Why the modeled curve changes with age

Age zero retains 100% before other adjustments. In year one, multiply by 0.80. Each of years two through five multiplies remaining value by 0.88; years six through ten use 0.92; years eleven through sixty use 0.95. For example, four-year age retention is 0.80 × 0.88³, or 54.51776%. This is a deliberately simple piecewise curve, not a copied valuation table.

The model’s age-related dollar declines generally slow over time. Mileage, condition and bounds also affect the displayed curve. Current age is limited to 0–50 whole years; the ten-year projection can reach age 60. There is no extrapolation beyond that boundary and no collector, rare-car or classic-car appreciation model.

The chart connects the age-zero reference to today, then shows annual projections. That first connection is not recorded historical price data. Straight chart segments do not establish monthly valuations.

How mileage affects the estimate

Expected mileage = vehicle age × 12,000 miles. Mileage difference = actual minus expected. The factor is 1 − (difference ÷ 10,000) × 0.015, bounded to 0.7–1.1. Thus 10,000 miles above the baseline reduces the age-adjusted subtotal by 1.5%; 10,000 below increases it by 1.5%, before later adjustments and bounds.

The slope and −30%/+10% limits are conservative project sensitivity assumptions, not empirically calibrated dollar-per-mile appraisals. Future mileage adds your annual driving assumption each year; the expected-age comparison always uses the fixed 12,000-mile baseline. Changing future driving does not rewrite today’s estimate.

The what-if odometer changes only the alternative scenario, instantly and locally. It does not overwrite the main inputs. At high or low extremes the adjustment can saturate, so additional mileage changes may have no modeled effect.

Vehicle type, gas, hybrid and EV assumptions

Sedan, SUV, Truck, Van/Minivan, Sports/Performance and Other all use ×1. Gas, Hybrid and EV also use ×1. These local descriptors do not imply category-specific data or improve the estimate by themselves. No defensible universal category multipliers were adopted for this version.

The model does not estimate battery health, incentives, fuel-price effects, manufacturer resale history, trim desirability or regional demand. It has no make/model database, VIN lookup or live comparables.

How condition affects the estimate

• Excellent, ×1.05: Very little visible wear; no known mechanical issues.
• Good, ×1.02: Normal wear, minor cosmetic imperfections, no significant known mechanical issues.
• Average, ×1: Noticeable ordinary wear; baseline assumption, not an inspection.
• Fair, ×0.9: Visible wear or repairs needed; their actual cost is not modeled.
• Poor, ×0.8: Substantial wear or known issues; actual repair costs can dominate value.

These coefficients are project assumptions, not inspection scores or repair estimates. The factor is applied after mileage and held constant in future projections. The final bounds prevent a condition bonus from implying appreciation above the reference price.

What does depreciation cost per month?

Modeled loss = reference price − estimated current value. Depreciation percentage = loss ÷ reference price × 100. Average monthly loss divides that modeled loss by vehicle age × 12. At age zero, monthly loss is shown as unavailable. Since purchase when new is assumed, this is not a reliable measure of a used-car buyer’s actual monthly ownership loss.

USD values display as whole dollars to avoid false precision. Monthly figures are averages; financing, tax, insurance, maintenance, inflation and operating costs are excluded.

Sell now vs wait: understanding additional depreciation

Each projected value is recalculated from the same original reference price, future age and future odometer. Next year’s modeled value is subtracted from today’s value to estimate the cost of waiting; dividing by twelve gives its monthly equivalent. These are not sale offers or personalized financial advice.

The largest and slowest upcoming declines compare annual dollar losses within the selected horizon, with percentages measured against each period’s starting value. Exact ties choose the earliest period. No “best sale date” or sub-annual timing claim is made.

What the model comparison range means

The comparison band is the neutral age-only estimate multiplied by 0.90 and 1.10, with the same 5–100% price bounds. “Below”, “within” and “above” classify your estimated value against that band. It is a project sensitivity range, not a typical-market range, confidence interval or evidence about similar vehicles.

Worked example

For a 35,000 USD age-zero reference price, age four, 62,000 miles, SUV, Average condition and neutral Gas powertrain: the age-only subtotal is 19,081.216 USD. Expected mileage is 48,000; the 14,000-mile excess gives a 0.979 mileage factor and a −400.705536 USD adjustment. Other factors are neutral and no bound activates.

The resulting current estimate is 18,680.510464 USD, displayed as $18,681. Modeled loss is $16,319 (46.6%), averaging $340/month over four years. At 12,000 future miles/year, the estimate is $16,439 next year and $11,777 in five years.

Waiting one year adds about $2,242 modeled depreciation, or $187/month. At 52,000 current miles instead, the model gives $18,967, about $286 higher. Tests verify the underlying unrounded values and breakdown.

Assumptions and limitations

Price accepts 1–10,000,000 USD; age 0–50 whole years; current mileage 0–1,000,000 whole miles; annual driving 0–100,000 whole miles; and horizon 1–10 whole years. Projected odometers can reach 2,000,000 miles and ages 60. These caps keep arithmetic and the table bounded, not realistic for every vehicle. At most eleven projection rows are produced.

This is not a dealer, trade-in or private-party appraisal, and not a guaranteed resale value. Vehicle condition, region, repairs, unusual markets and collectibles can depart substantially from the scenario. The 5% floor can produce flat projections and does not guarantee a buyer or minimum price.

Calculations and what-ifs remain in tab memory; refresh resets them. There are no cookies, saved scenarios, analytics, API submissions or scenario URLs. Copy writes the displayed summary only after your click. Share sends that text through a destination you choose in the browser’s sharing interface. Print uses your browser; no server PDF is generated.

Car depreciation FAQ

Can I use a recent used-car purchase price?

Not as the age-zero reference in this version. The model does not know purchase age or acquisition mileage. Use an appropriate new-price reference to explore the curve, and do not interpret the resulting loss as your personal ownership loss.

Why does selecting EV or Truck leave the result unchanged?

Those descriptors have neutral factors. Applying unsupported category multipliers would create misleading precision. The model does not claim that actual vehicles in these categories depreciate identically.

Why is the next year’s decline sometimes zero?

The scenario may have reached its 5% floor. That is a model limit, not a claim that an older vehicle stops losing market value.

Research context and model assumptions

Reviewed September 26, 2026. Kelley Blue Book’s depreciation overview (opens in a new tab) identifies age, mileage and condition among valuation factors and describes larger early losses. Its broad examples differ by context; this simulator does not reproduce its proprietary valuation tables or claim a KBB valuation.

FHWA Highway Statistics 2024, Table VM-1 (opens in a new tab), updated February 2026, reports 10,787 annual miles per light-duty vehicle. That national aggregate is context, not the mileage of an individual car. The simulator’s rounded 12,000-mile baseline is explicitly a project scenario assumption, not that FHWA statistic.

All exact retention factors, mileage sensitivity, condition factors, neutral type/powertrain factors, floor, ceiling and comparison width are project assumptions. Inputs come from you; values, losses, ranges and curve insights are derived results. Neither reference supplies this complete model. Sources are static links; no data is fetched during calculation.