Enter your applianceās age, expected lifespan, repair estimate, replacement price, and operating costs to see which option delivers the lowest total cost over your planning horizon.
Scenario | Net present cost ($) | Cumulative downtime (days) | Break-even year |
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Broken appliances rarely wait for a calm weekend. They fail when the laundry backlog is tallest or right before hosting relatives. In that chaos, households often default to whatever the technician suggests or whichever option sounds cheaper up front. Yet the real financial story extends beyond a single invoice. Repairing an aging washer may keep cash in your pocket today, but higher utility bills and another breakdown two years later can erase those savings. Replacing the unit may unlock efficiency gains, extended warranties, or rebates, but also demands more capital and downtime. Most online advice offers rules of thumb like the ā50% ruleā without quantifying operating costs, downtime spending, or discounting future expenses. The Appliance Repair vs Replacement Decision Calculator fills that gap, delivering a transparent lifecycle cost comparison tailored to your situation.
The form mirrors other AgentCalc tools so you can plug in numbers fast. Enter the appliance age, how long a repair would extend its life, how long a new model should last, and the associated costs. Add downtime expenses if you rely on laundromats, rental fridges, or takeout meals while repairs drag on. The calculator converts those inputs into net present costs for both options, revealing when a replacement pays for itself. It also highlights downtime impacts, making it easy to justify a faster swap if the family canāt go without the appliance. For deeper planningāsuch as whether to buy coverage afterwardāyou can pair this analysis with the appliance extended warranty break-even calculator or plan for energy rebates using the home energy rebate stacking planner.
Each scenario tracks three categories: upfront spending, downtime costs, and ongoing operating expenses. Repairing the appliance triggers an immediate repair bill plus downtime costs (days without the appliance multiplied by your estimated per-day cost). The repaired unit keeps running until the earlier of your planning horizon or the extended lifespan. Operating costs each year reflect higher utility bills or consumable parts typical of older equipment. If your planning horizon extends beyond the repaired applianceās remaining life, the calculator assumes you must eventually replace it, adding the replacement cost at the year it fails. That future replacement is discounted back to present value, capturing the true opportunity cost of deferring the purchase.
Replacing the appliance today follows similar steps: upfront replacement price plus downtime costs for installation, then annual operating expenses for the planning horizon. Because the new unit often lasts beyond the horizon, no additional replacement occurs within the analysis window. However, if your horizon exceeds the new applianceās lifespan, the calculator inserts a second replacement to keep comparisons fair. Discounting ensures future cash flows weigh less than immediate ones. The discount rate input reflects your householdās return expectations or borrowing costāmatching the approach used in the DIY renovation timeline planner and other capital planning tools on the site.
The math is expressed in MathML so you can document the methodology. Let r be the repair cost, n the new appliance cost, r and n the annual operating costs, r and n downtime costs, r the remaining life in years after repair, n the lifespan of the new unit, the planning horizon, and the discount rate expressed as a decimal. The net present cost of repair r is:
The final fraction appears only if exceeds r, signaling a forced replacement later. The replacement scenario follows the same structure without the extra replacement term unless the horizon outlasts the new applianceās life. The calculator guards against invalid inputs, such as repair lifespans shorter than current age, and surfaces warnings when assumptions make the analysis unreliable.
Imagine a nine-year-old washer. Repairing a failed bearing costs $320 and would extend total lifespan to 12 years. Replacing the unit costs $1,200. The repaired washer draws more electricity and water, costing about $210 per year in utilities, while an efficient front-loader would cost $150 annually. Repairs leave the household without laundry for three days, pushing them to spend $25 per day at a laundromat. A new unit can be delivered in one day. The family uses an 8-year planning horizon and values future cash flows at a 3.5% discount rate.
The calculator shows that repairing costs $320 + $75 in downtime immediately, plus discounted operating costs for the next three years (because 12-year lifespan minus nine years of age equals three remaining years). After year three, the repaired washer reaches the end of life, forcing a replacement costing $1,200 (discounted back to present value). Total net present cost of the repair path lands around $1,912. Replacing immediately costs $1,200 + $25 in downtime, then eight years of $150 operating costs, totaling about $2,335 present value. Repairing wins in this base case. However, if the household expects utility rates to rise faster, or qualifies for a $300 rebate on the new washer, the replacement path might drop below the repair cost. The planner surfaces the break-even yearāthe moment when cumulative savings from lower operating costs offset the higher upfront priceāso families can see how long they must stay in the home to benefit.
Suppose energy rates climb, lifting the new washerās annual savings to $120 compared to the repaired model. The break-even point moves earlier, and the replacement pathās net present cost drops sharply. The household can test scenarios like bundling the replacement with other incentives or financing the new unit at low interest. They can also explore resilience: pairing a new washer purchase with the community tool library utilization planner reveals whether a temporary loaner unit exists, reducing downtime costs.
The automated table below the results highlights net present cost, downtime, and break-even timing. The following tables extend that view with common what-ifs. The first table compares outcomes when downtime costs spikeāuseful if you rely on commercial laundry or have tenants. The second explores how rising energy prices tilt decisions.
Downtime cost per day | Repair net present cost | Replace net present cost | Preferred option |
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$15 | $1,867 | $2,297 | Repair |
$35 | $1,957 | $2,372 | Repair |
$80 | $2,107 | $2,522 | Repair (narrow margin) |
Energy price assumptions play an outsized role. The table below shows how higher annual savings from an efficient appliance shift the recommendation.
Annual savings vs repair | Break-even year | Replacement net present cost | Outcome |
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$40 | 7.8 | $2,310 | Repair still cheaper |
$90 | 4.3 | $2,050 | Replacement competitive |
$140 | 2.7 | $1,840 | Replacement wins |
This calculator simplifies reality to keep the interface approachable. Repair lifespan estimates rely on technician judgment and may be optimistic. If the repair addresses only one failing component, other parts could still fail early. Operating cost estimates assume steady usage; dramatic changes in household size or behavior require re-running the numbers. The model treats downtime cost as linear, but in real life, the first day without a refrigerator may cost more than subsequent days. Financing charges are not included; if you plan to use a credit card or loan, add interest to the appropriate scenario. Finally, the calculator does not quantify environmental benefits of keeping appliances out of landfillsāuse the repair cafĆ© waste diversion impact calculator to weigh those considerations alongside financial outcomes.
Despite these constraints, the Appliance Repair vs Replacement Decision Calculator gives households the data they need to make calm choices in stressful moments. Update the inputs when utility rates shift, when you qualify for new rebates, or when the applianceās performance changes. Sharing the output with repair technicians, landlords, or family members helps align expectations and ensures the selected option matches your priorities.