#!/usr/bin/python
import numpy as np
# Constants for the logistic growth model
C = 17.5 # maximum market share in billion USD
k = 0.3 # growth rate
t0 = 5 # inflection point at year 5
years = np.arange(1, 11) # years from 1 to 10
# Logistic growth model function
def logistic_growth(t, C, k, t0):
return C / (1 + np.exp(-k * (t - t0)))
# Calculate the projected market share for each year
market_share_projection = logistic_growth(years, C, k, t0)
market_share_projection# Constants
percentage_of_projection = [0.05, 0.10] # 5% and 10% of the projected market share
revenue_percentage = 0.04 # 4% gross profit on the revenue generated
# Calculate the gross profit for each year under both scenarios (5% and 10% of projections)
gross_profit_5pct = market_share_projection * percentage_of_projection[0] * revenue_percentage
gross_profit_10pct = market_share_projection * percentage_of_projection[1] * revenue_percentage
gross_profit_5pct, gross_profit_10pct
# Format the gross profit for human readability in millions with two decimal points
gross_profit_5pct_millions = np.round(gross_profit_5pct * 1000, 2) # Convert billion to million
gross_profit_10pct_millions = np.round(gross_profit_10pct * 1000, 2) # Convert billion to million
gross_profit_5pct_millions, gross_profit_10pct_millionsUnder those circumstances, from my POV, new car sitting in the garage most of the time makes little sense, other that better reliability maybe. I was quoted too much for auto insurance on a new car lease, about 8% of the car's value annually --for a car I would rarely use and turn in in 3 years with 5,000 miles on it LOL --what a cream-puff used car. So, I could refinance the lease to retain the car but I would be paying insurance for another few years until I paid off the balance.
