RBC cuts Apple price target to $140, cites concerns over supply chain data

Analyst Amit Daryanani lowered estimates on AAPL for both its March and June quarters, reflecting supply chain signals, as well as his own concerns over tough comparisons during the first six months of calendar 2016.

According to Daryanani, a "host of supply chain data points" indicate that Apple's iPhone lineup is set to face difficult headwinds in March. He estimates that Apple will ship 54 million iPhones in the March quarter, which is well below Wall Street expectations of 60-million-plus units.

For fiscal year 2016, he believes Apple will ship about 227 million iPhones, which would be a 2 percent decrease year over year. He expects that year-over-year growth will resume in the June quarter and beyond.

Despite the cuts, Daryanani has retained his "overweight" rating for AAPL stock, advising investors to buy in. But he reduced his price target from a previous estimate of $150 down to $140.

Through calendar 2016, he sees AAPL stock moving "appreciably higher" thanks to increased average selling prices across iPhone models, as well as higher prices driven by the launch of the iPad Pro. He's also optimistic about a rumored new 4-inch iPhone that could target new price points, and he expects Apple's gross margins to increase during the iPhone 6s product cycle.

Investors and analysts have been spooked in recent days, after a number of key Apple suppliers cut estimates. Specifically, Daryanani cited poor outlooks from Avago Technologies, Dialog Semiconductor, Analog Devices, and Jabil Circuit.

Not all have expressed such concern over the cuts, however. Earlier this week, analyst Gene Munster of Piper Jaffray advised investors not to worry about supplier data, indicating it's unwise reading heavily into vague estimates.

Apple Chief Executive Tim Cook also said as much back in 2013, reminding investors that his company uses multiple suppliers for the same components. Apple skews orders accordingly for a variety of internal reasons, including pricing, yield rates, technology and otherwise.

"The supply chain is very complex, and we obviously have multiple sources for things," Cook said. "Even if a particular data point were factual, it would be impossible to interpret that data point as to what it meant for our business."