Palantir (NASDAQ:PLTR | NVDA Price Prediction) is among the most notable growth stocks that’s absolutely ripped higher thus far this year. Starting the year at $76.20 per share, PLTR stock rocketed to a high of $207.52 in early April, and currently trades right around $185 per share at the time of writing.
Accordingly, by most metrics, the bullish uptrend in Palantir appears to remain in place. In fact, over the past month or so, this is a stock that rallied nicely off its most recent low below $150 per share, signaling a resumption of bullish momentum for companies like Palantir that have tied their valuations closely to surging demand for artificial intelligence and data center/compute buildouts.
In a market that still feels somewhat euphoric, citing a bear case for such a high flyer may certainly be viewed as a buzz kill for those who have rode this rally higher. That said, I do think many market participants are now becoming more cautious and repositioning in a more defensive manner.
For those who think valuations have gotten out of control in AI-related sectors, here’s the bear thesis around why 2026 may not be the year bulls are hoping for with Palantir.
Business Model Fragility

Department of Defense placard
Palantir’s valuation multiple suggests that this big data and intelligence company will continue to grow at breakneck speed, and potentially see growth accelerate from here. Indeed, there are some solid reasons why investors who are bullish on this stock may take this as the base case. The company’s Gotham and AIP software platforms are impressive, and have driven solid growth of late both from the core government agencies Palantir has traditionally served, as well as an increasing market share among commercial clients.
The thing is, if AI spending deteriorates meaningfully at some point in the coming years, it’s easy to make a bear case that this stock could easily get cut in half here. Trading at a price-sales multiple of more than 115-times and a forward price-earnings ratio of nearly 150-times, it’s really hard to find a company that’s more richly valued in this market.
Should Palantir deserve the benefit of the doubt for its impressive ramp up over the course of decades? Sure. But trees don’t grow to the sky, and concerns around the company’s dependency on government contracts (as well as large contracts from key commercial clients) means that any sort of material contract losses could take this stock into a tailspin lower.
In that sense, I view Palantir more as a perfectly-priced powder keg in this uncertain environment where valuations are beginning to be questioned.
Big Forward Expectations

Palantir CEO Alex Carp
Any equity is valued (or should be valued) as the sum of its future cash flows, discounted to today. What that means is that two key factors can matter more than others in determining whether a stock is overvalued – the underlying “risk free rate” used to discount these cash flows, and an implied growth rate investors think the company can grow its cash flows over time.
This past quarter, Palantir’s management team put forward impressive forward guidance, expecting revenue to come in around $4.4 billion (implying growth as high as 53% year-over-year), with earnings expected to fall in line.
I’m of the view that even a top and/or bottom-line miss, which would entail something like 40% growth, could lead to massive downside in this stock considering the sort of growth expectations investors have collectively priced into this stock (greater than most Wall Street analysts, I’d argue). In other words, things need to go perfectly (and then some) in order for Palantir to justify its current valuation.
Additionally, Palantir has historically relied on “forward‑deployed engineers” deeply embedded in client organizations, especially within government, making implementations complex and expensive. Critics have argued this looks more like a high‑end consulting model than a scalable, self‑serve software platform, raising questions about how far margins and returns can expand once AIP‑driven upsell momentum slows.
I agree.