numpy.npv¶

numpy.
npv
(rate, values)[source]¶ Returns the NPV (Net Present Value) of a cash flow series.
Deprecated since version 1.18:
npv
is deprecated; for details, see NEP 32 [1]. Use the corresponding function in the numpyfinancial library, https://pypi.org/project/numpyfinancial. Parameters
 ratescalar
The discount rate.
 valuesarray_like, shape(M, )
The values of the time series of cash flows. The (fixed) time interval between cash flow “events” must be the same as that for which
rate
is given (i.e., ifrate
is per year, then precisely a year is understood to elapse between each cash flow event). By convention, investments or “deposits” are negative, income or “withdrawals” are positive; values must begin with the initial investment, thus values[0] will typically be negative.
 Returns
 outfloat
The NPV of the input cash flow series values at the discount
rate
.
Warning
npv
considers a series of cashflows starting in the present (t = 0). NPV can also be defined with a series of future cashflows, paid at the end, rather than the start, of each period. If future cashflows are used, the first cashflow values[0] must be zeroed and added to the net present value of the future cashflows. This is demonstrated in the examples.Notes
Returns the result of: [2]
References
 1
NumPy Enhancement Proposal (NEP) 32, https://numpy.org/neps/nep0032removefinancialfunctions.html
 2
L. J. Gitman, “Principles of Managerial Finance, Brief,” 3rd ed., AddisonWesley, 2003, pg. 346.
Examples
Consider a potential project with an initial investment of $40 000 and projected cashflows of $5 000, $8 000, $12 000 and $30 000 at the end of each period discounted at a rate of 8% per period. To find the project’s net present value:
>>> rate, cashflows = 0.08, [40_000, 5_000, 8_000, 12_000, 30_000] >>> np.npv(rate, cashflows).round(5) 3065.22267
It may be preferable to split the projected cashflow into an initial investment and expected future cashflows. In this case, the value of the initial cashflow is zero and the initial investment is later added to the future cashflows net present value:
>>> initial_cashflow = cashflows[0] >>> cashflows[0] = 0 >>> np.round(np.npv(rate, cashflows) + initial_cashflow, 5) 3065.22267