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Payback Period
time it takes for an investment to generate enough cash flow to recover its initial cost
number of full years + (additional cash flow needed to reach payback / cash flow in the next year.
2 years and (5000 / 20000 = 0.25) 0.25 × 12 = 3 months
DIS payback period
returns are a prediction - risk involved
opportunity cost such as putting money in the bank
inflation - better to have money sooner
equipment can become obsolete so its better to have returns sooner
disregards returns after payback period so its hard to measure total profitability
hard to present to investors as its not a percentage
advantages of payback period
focuses on cash flow – useful for cash-limited businesses
helps reduce risk – by favouring projects that pay back quickly
good for short-term planning
useful in uncertain environments – where long-term predictions are hard
helps compare projects – especially when time to recover investment is important
Average rate of return
calculates the percentage return expected on an investment based on the average annual profit compared to the initial cost
net return / number of years = average return
average return / initial cost x 100
ADV ARR
can be compared with other financial returns
uses returns from all years
DIS ARR
ignores time value of money – doesn’t consider that money today is worth more than in the future
based on accounting profits, not cash flow – can give a less accurate view of actual returns
affected by accounting policies – like depreciation methods, which can distort results
doesn't show how long it takes to recover the investment
not suitable for comparing projects with different lifespans
Net present value
calculates the current value of the net return from an investment after discounting the opportunity cost
net cash flow for each year x discount factor = annual net cash flow
add all discounted annual net cash flow
take off the original investment
DIS NPV
too high a discount factor may have been chosen
investment may not last as long
risk element
estimates may be too optimised
value of sensitivity analysis
way to test “what if” scenarios to understand risks and make better choices
shows how results change when key assumptions change
helps identify which variables have the biggest impact
improves decision-making under uncertainty
tests how risky or stable a project or plan is
supports better forecasting and planning
increases confidence in financial and strategic decisions