Stock Price Prediction: Palantir at $113, The Forecast Says Thereβs Room to Run
Stock Price Prediction: Palantir at $113, The Forecast Says Thereβs Room to Run
Vandita JadejaThu, June 25, 2026 at 2:59 PM UTC
0
Quick Read -
PLTR has fallen 36% year to date, but 24/7 Wall St. rates it a BUY with a $150 price target implying 32% upside.
Q1 2026 revenue surged 85% year over year to $1.6 billion, with CEO Alex Karp calling AIP demand supply-constrained.
Trading at 131x trailing earnings leaves no room for error, though even the bear-case target sits 20% above current levels.
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Palantir (NASDAQ:PLTR) has been one of 2026's most punished AI winners, sliding from a December peak near $183.25 to roughly $113.50. After running the numbers, I think that pullback has overshot the fundamentals.
Shutterstock / Piotr Swat
PLTR Price Target β 24/7 Wall St.
Our 24/7 Wall St. price target for Palantir is $150.02 over the next 12 months, implying 32.17% upside from current levels. We rate shares a buy with 90% confidence, the highest tier our model assigns.
Metric
Value
Current Price
$113.50
24/7 Wall St. Price Target
$150.02
Upside
32.17%
Recommendation
Confidence Level
90%
A Brutal Six Months Despite Record Numbers
Palantir is down 36.15% year to date, 17.08% over the past month, and 13.11% over the past week, with shares now sitting just above the 52-week low of $116.18 and roughly 12% below the $207.52 52-week high.
The drawdown coincided with Michael Burry's widely shared June note calling PLTR "a sand castle supported only by AI applications narrative," which dragged Reddit sentiment to 22 in early June.
That bearish narrative collides with the fundamentals. Q1 2026 revenue hit $1.63 billion, up 84.7% year over year, the fastest growth in company history. Adjusted EPS of $0.33 beat consensus by 18.07%, the eighth straight beat. U.S. commercial revenue grew 133%, free cash flow reached $925 million, and management raised FY2026 revenue guidance to $7.65 to $7.66 billion.
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PLTR Price Scenario β 24/7 Wall St.The Bull Case
The bull case rests on AIP-driven commercial adoption that CEO Alex Karp argues is supply-constrained. On the Q1 call he said, "Our biggest problem currently in the U.S. is that we just cannot meet demand."
U.S. commercial remaining deal value reached $4.92 billion, up 112%, and net dollar retention hit 150%. Government tailwinds include the $300 million USDA contract and Maven usage 4x over the past twelve months.
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Of 31 analysts, 19 rate shares Buy or Strong Buy with a consensus target of $182.75. Our bull-case scenario carries Palantir to $197.98, a 74.43% return, if FY2026 revenue lands above guidance and operating margins hold near 46%.
PLTR Analyst Ratings β 24/7 Wall St.What Could Go Wrong
The bear case starts with valuation. Palantir trades at 131x trailing earnings and 79x forward, leaving zero margin for an execution miss. Insider activity raises another flag: Director Alexander Moore sold 16,000 shares in each of April, May, and June.
It should be noted, however, that the May 20 executive activity from Karp, Cohen, and Sankar represented a Class A to Class B equity restructuring. Prediction-market traders are also cautious, with Polymarket assigning 50.3% probability that PLTR finishes June at $108. Our bear-case target is $136.38, still 20.16% above today.
Palantir Price Prediction 2026 to 2030
My 24/7 Wall St. price target of $150.02 reflects a stock that has been punished faster than its fundamentals have deteriorated. With a Rule of 40 score of 145%, accelerating U.S. growth, and raised guidance, I think the risk/reward is favorable.
The setup looks favorable for investors who can stomach a beta of 1.515 and believe AIP demand stays supply-constrained. The thesis weakens for those expecting federal budget continuing-resolution drag or a broader AI multiple reset.
Looking further out, here is where our model projects PLTR could trade, assuming current execution holds.
Year
24/7 Wall St. Price Target
2026
$150.02
2030
$251.33
These projections assume Palantir compounds revenue near management's trajectory and holds margin gains. Material upside or downside could come from federal AI procurement cycles or any compression in software multiples.
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Source: βAOL Moneyβ