Have you ever wondered just how much money tech companies such as Google and Apple are making from each employee? Now we know.
PostBeyond crunched the data, surfacing the profits reported by Fortune 500 tech companies, then balancing those against how many employees they have.
Leading the per-employee earnings is Facebook: With nearly $16 billion in total profit last year, it made $634,694 per employee.
Apple is second on this list, profiting $48.3 billion last year, for an average per-employee earning of $393,097. Microsoft raked in $21.2 billion in 2018, which averages to $171,000 per employee.
Google parent company Alphabet made $12.6 billion in profit for all of 2018, which is about $158,000 per employee at the company. This is a bit of misdirection, though; Alphabet has Google, which makes the lion’s share of its income, but has companies like Calico, which generate losses. So, really, Google is making Alphabet $158,000 per employee.
Rounding out the top five is Cisco: It made $9.6 billion last year, or about $131,810 per employee.
It’s not all gold, though. Hewlett Packard, which reported a profit of $344 million last year, earns a paltry $5,212 per employee. SalesForce isn’t far behind; the behemoth profited to the tune of $128 million last year, which is only $4,397 per staffer.
Motorola lost money, unsurprisingly. With $155 million in losses during 2018, the Lenovo-owned company lost $10,333 per employee. Dell, which lost $3.7 billion last year, can chalk up a loss of $25,710 per person it employs.
The biggest loser here is eBay. It lost just over $1 billion last year, which is a 104 percent downturn YoY; that also equates to negative $72,057 per employee. In other words, eBay loses the equivalent of almost an average software developer salary for every single person it employs, no matter what their actual pay. Ouch.
While Facebook is easy to loathe, its efficiency is mesmerizing. According to this data, it is absolutely raking cash. If you work there, or are interviewing with Facebook, please feel free to use this data to argue for a bigger salary.
