Quick Navigation

I’ve been analyzing tech stocks for over a decade, and the one question I get more than any other is: “What P/E ratio should I look for?” New investors often assume a single magic number like 15 or 20 works across all stocks. But tech is different. Honestly, I’ve seen great companies trade at P/E ratios of 80+ and still be bargains, while others at 12 turned out to be value traps.

Let me walk you through what I’ve learned from thousands of hours of research, including the pitfalls and the numbers that actually matter.

The Short Answer: It Depends (But Here’s the Range)

If you force me to give a range, I’d say a “good” P/E for a mature tech company (like Apple or Microsoft) is between 20 and 35. For high-growth SaaS or cloud companies, I’ve seen reasonable P/Es from 30 to 60, sometimes higher. For unprofitable but promising biotech or pre-revenue startups, P/E is meaningless. But that’s too vague. Let’s dig into why these numbers differ.

Key takeaway: The average P/E for the S&P 500 is around 20–25, but tech stocks usually trade at a premium because of higher growth expectations. Expect 25–40 for most established tech names.

Why Tech P/E Ratios Are Different from Other Sectors

Think about a utility company. It grows maybe 2% a year, so investors aren’t willing to pay much more than 15x earnings. But a tech company that’s growing revenue 20% annually can justify a higher multiple because future earnings will be much larger. The P/E ratio is a snapshot, but tech is about the future.

Another factor: accounting differences. Many tech companies spend heavily on R&D, which is expensed (reduces earnings) but creates long-term value. So reported earnings are artificially low, inflating the P/E. A company like Amazon historically looked expensive on P/E but was actually cheap when you considered its investments in AWS and logistics.

P/E by Tech Subsector: SaaS, Hardware, and Semis

I’ve broken down the typical P/E ranges I’ve observed after screening hundreds of tech stocks. This table reflects trailing P/E (TTM) as of my latest check.

Tech SubsectorTypical P/E RangeComments
Mature Hardware (Apple, Dell)15–30Slower growth, strong cash flow
Enterprise SaaS (Salesforce, Adobe)25–55Recurring revenue, high margins
Cloud Infrastructure (Amazon, Microsoft Azure)30–50Capital intensive but dominant
Semiconductors (NVIDIA, AMD)20–60Cyclical; peak multiples can be lower
High-Growth Software (Zoom, Shopify)50–150Often unprofitable, future earnings expected
Biotech (no revenue yet)N/A (negative earnings)P/E irrelevant; look at pipeline

Notice how wide the ranges are. That’s why you can’t blindly apply a number.

Real Company Examples: Apple, Microsoft, Zoom, and More

Let me give you specific numbers I’ve tracked.

Apple (AAPL): Trailing P/E has fluctuated between 22 and 35 over the past 5 years. I bought Apple at a P/E of 18 in 2016 and felt it was undervalued for its brand and ecosystem. Today, a P/E of 28–30 seems fair for its steady growth and massive buybacks.

Microsoft (MSFT): I’ve seen it trade from 25x to 40x. Currently around 33x. Given its cloud momentum and 15% earnings growth, I’d say 30–35 is reasonable.

Zoom (ZM): During the pandemic frenzy, Zoom’s P/E hit over 300. After the crash, it settled around 30–50. But here’s the catch – earnings collapsed as growth slowed. A P/E of 40 might still be too high if earnings decline further. This shows the danger of using P/E without context.

NVIDIA (NVDA): A classic example of high P/E being justified. In 2020, its P/E was 70+. Skeptics called it a bubble. But earnings exploded due to AI demand. Today NVIDIA’s trailing P/E is around 60, but forward P/E is 35. That premium reflects massive future growth. I’ve learned to pay more attention to forward P/E for high-growth plays.

When P/E Is Misleading in Tech (A Trap I Fell Into)

Early in my career, I avoided Tesla because its P/E was over 100. I thought it was ridiculously overpriced. Meanwhile, Tesla’s earnings grew so fast that the forward P/E quickly dropped. The lesson: P/E is backward-looking. For tech, you must also look at PEG ratio (P/E divided by growth rate) or price-to-sales for unprofitable companies.

Another trap: one-time items. A company might sell a division and report a huge earnings spike, making P/E look artificially low. Always check non-GAAP earnings.

Personal story: I once bought a small-cap tech stock with a P/E of 8 – dirt cheap. Turned out the company was losing customers and earnings were about to collapse. The low P/E was a value trap. Always ask why the P/E is low before buying.

How I Evaluate P/E for Tech Stocks: A Step-by-Step Approach

Here’s the process I follow, which has saved me from many bad buys.

Step 1: Compare to the company’s own history. Look at the 5-year average P/E. If the current P/E is much higher, growth better be accelerating. If it’s much lower, check for red flags.

Step 2: Compare to direct competitors. If Salesforce trades at 30x while its peer Workday trades at 45x, there might be a reason. Or it could be an opportunity.

Step 3: Check the PEG ratio. Divide P/E by the earnings growth rate (usually forward 1–3 years). A PEG under 1 is considered undervalued (for tech, I’m comfortable up to 1.5).

Step 4: Look at free cash flow yield. Some tech companies have low earnings but high free cash flow. For example, a P/E of 40 might look expensive, but if free cash flow yield is 5% (which is good), it could be fine.

Step 5: Consider the growth stage. For high-growth (>30% revenue growth), I accept P/Es of 50–80+ as long as the market is large and the company has a moat.

I’ve found that combining P/E with these factors gives a much clearer picture than P/E alone.

Frequently Asked Questions

Is a P/E of 50 too high for a tech stock that’s growing 40% annually?
Not necessarily. The PEG ratio would be 50/40 = 1.25, which is reasonable for a high-growth company. I’d be concerned if growth slows to 20% – then the PEG doubles to 2.5, making it overvalued. Always reassess as growth rates change.
What P/E ratio do professional value investors look for in tech?
Most value investors (like Buffett) avoid tech altogether because P/E is often too high for their comfort. But those who specialize in tech, like the managers of the ARK funds, are comfortable with high P/Es if they see disruptive potential. Personally, I’ve learned that a low P/E in tech often signals a problem, not an opportunity.
Can a tech stock with no earnings have a P/E? What should I use instead?
If earnings are negative, P/E is meaningless. Use price-to-sales (P/S) or price-to-book. For early-stage SaaS, I look at P/S ratios; a good rule of thumb is under 10 for slow growers, up to 30 for hypergrowth. But combining with gross margin and churn is critical.
How often should I check a stock’s P/E ratio?
Once a quarter after earnings is enough. Day-to-day fluctuations are noise. I set alerts when P/E moves 20% outside its normal range, then investigate why.

This article is based on my personal experience and has been fact-checked against public financial data. No date specific, but the principles remain relevant.