This valuation marks a premium compared to its industry's average Forward P/E of 9.27. Apple currently has a Zacks Rank of #3 (Hold).ĭigging into valuation, Apple currently has a Forward P/E ratio of 30.86. Within the past 30 days, our consensus EPS projection has moved 0.01% lower. Ranging from #1 (Strong Buy) to #5 (Strong Sell), the Zacks Rank system has a proven, outside-audited track record of outperformance, with #1 stocks returning an average of +25% annually since 1988. Our system takes these estimate changes into account and delivers a clear, actionable rating model. We developed the Zacks Rank to capitalize on this phenomenon. Research indicates that these estimate revisions are directly correlated with near-term share price momentum. With this in mind, we can consider positive estimate revisions a sign of optimism about the company's business outlook. Recent revisions tend to reflect the latest near-term business trends. These results would represent year-over-year changes of -1.96% and -2.53%, respectively.Īny recent changes to analyst estimates for Apple should also be noted by investors. Our most recent consensus estimate is calling for quarterly revenue of $81.17 billion, down 2.16% from the year-ago period.ĪAPL's full-year Zacks Consensus Estimates are calling for earnings of $5.99 per share and revenue of $384.34 billion. The company is expected to report EPS of $1.18, down 1.67% from the prior-year quarter. In that same time, the Computer and Technology sector gained 8.33%, while the S&P 500 gained 5.36%.Īpple will be looking to display strength as it nears its next earnings release. At the same time, the Dow lost 0.72%, and the tech-heavy Nasdaq lost 5.08%.Ĭoming into today, shares of the maker of iPhones, iPads and other products had gained 6.15% in the past month. This change outpaced the S&P 500's 0.47% loss on the day. We can visualize that the monthly returns chart is much more smoother than the daily chart.In the latest trading session, Apple (AAPL) closed at $185.01, marking a +0.05% move from the previous day. Netflix_cum_returns = (netflix_monthly_returns + 1).cumprod()Īx1.set_title("Netflix Monthly cumulative returns data") Very few investors can hold onto investments through such periods. During the 10 year or so period there were times when the investment lost 50% of its value during the Qwickster fiasco. But as we know its easier said then done. With the power of hindsight, one could have made $70 on a $1 investment since 2009. This chart shows the cumulative returns since 2009 for Netflix. fig = plt.figure()Īx1.set_ylabel("Growth of $1 investment")Īx1.set_title("Netflix daily cumulative returns data") The Apple Watch Series 8 on a persons wrist, showing a paused workout tracking screen. Next we can chart the cumulative returns of Netflix. Tweak these settings when you strap on your Watch for the first time. netflix_cum_returns = (netflix_daily_returns + 1).cumprod() To calculate the cumulative returns we will use the cumprod() function. To calculate the growth of our investment or in other word, calculating the total returns from our investment, we need to calculate the cumulative returns from that investment. Plotting the daily and monthly returns are useful for understanding the daily and monthly volatility of the investment. # Freq: M, Name: Adj Close, dtype: float64Ĭalculating the cumulative returns for the Netflix stock print(netflix_monthly_returns.head()) # Date Looking at the head of the monthly returns. print(netflix_daily_returns.head()) # Date Looking at the head of the daily returns. Netflix_monthly_returns = netflix.resample('M').ffill().pct_change() netflix_daily_returns = netflix.pct_change() We will calculate the monthly and daily price returns. We have already downloaded the price data for Netflix above, if you haven’t done that then see the above section. We will again use pandas package to do the calculations. Once we downloaded the stock prices from yahoo finance, the next thing to do is to calculate the returns. ot()Ĭalculating the daily and monthly returns for individual stock Next we will chart the Netflix’s adjusted closing price. netflix = web.get_data_yahoo("NFLX",Įnd = "") print(netflix.head()) # High Low. To see just how well Netflix’s stock has performed, we will start by downloading the historical price for Netflix and then perform the return calculations. Today Netflix seems like an unstoppable force in the media landscape. Its original programs have won several Emmy awards. Netflix started as a content delivery platform, but today its responsible for content creation as well. Old media companies like CBS, Fox, Viacom, Disney etc are under threat from the new way of consuming media. It has changed the industry landscape and pushed Blockbuster our of business. It was responsible for producing a new category of business - subscription based online streaming. Netflix has seen phenomenal growth since 2009.
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