Newsroom
Post Market Movers: Should You Add Palantir Stock to Your Portfolio Ahead of Q2 Earnings?
By KlickAnalytics Data Insights | July 30, 2026 08:11PM ET
Key Points
- Palantir is expected to have 80% revenue growth in Q2
- Trailing 12-month net income reached $2.28 billion, up nearly 300%
- First-quarter revenue rose 85% year over year
- Analysts warn of a potential SaaS trap with AI revenue hitting $100 billion
- Wall Street has conflicting views on Palantir's future performance
Palantir, the data analytics company, is gearing up for its Q2 earnings with an anticipated 80% revenue growth. Despite a recent share-price pullback, the company has seen its profit nearly quadruple over the past year, with a trailing 12-month net income of $2.28 billion, a significant increase of almost 300%.
In the first quarter, Palantir experienced its fastest growth as a public company, with revenue rising by 85% year over year. The company's AI revenue has also surged to $100 billion, a stark contrast from two years ago when it was at zero. However, Wall Street analysts are now warning of a potential massive SaaS trap in the market.
D.A. Davidson analyst Gil Luria raised concerns about the cumulative run rate of OpenAI and Anthropic, which is currently above $75 billion. The bull and bear case for Palantir is being debated on Wall Street, with some expecting a solid beat and raise in earnings, while others, including "The Big Short" investor Michael Burry, view the company as vulnerable to AI slowdowns.
Despite the differing opinions on Palantir's future performance, the company has set itself apart from its competitors with its ontology-based software. Independent research companies have recognized Palantir as a leader in artificial intelligence platforms, further solidifying its position in the market.
As Palantir prepares to report its earnings on Aug. 3, investors are left wondering whether they should add the stock to their portfolio. With strong revenue growth expected in Q2 and a track record of impressive financial performance, the decision to invest in Palantir remains a topic of debate among analysts and investors alike.
About PLTR
Palantir Technologies Inc. engineers and deploys advanced software platforms primarily for the intelligence community, supporting counterterrorism investigations and operations across the United States, the United Kingdom, and internationally. One such product is Palantir Gotham, a sophisticated software system that enables users to uncover hidden patterns within diverse datasets, from signals intelligence to confidential informant reports. Gotham also facilitates the seamless handover between analysts and operational personnel, helping operators strategize and execute real-world responses to threats pinpointed within the platform. The company also offers Palantir Foundry, a platform that revolutionizes organizational operations by providing a central data operating system, allowing individual users to integrate and analyze their essential data in one cohesive environment. Additionally, Palantir provides Apollo, a software solution for delivering applications and updates across an enterprise, enabling clients to deploy their software in virtually any setting. Its Palantir Artificial Intelligence Platform (AIP) offers unified access to open-source, self-hosted, and commercial large language models (LLMs). AIP excels at transforming both structured and unstructured data into LLM-understandable objects, converting an organization's actions and processes into practical tools for human operators and LLM-driven agents alike. Founded in 2003, Palantir Technologies Inc. maintains its headquarters in Denver, Colorado.For more information:
Ask the market a question. Get a calculated answer.
The AI is not a chatbot bolted onto a document store. It calls the same analytics engine that powers every screen on this platform — so what comes back is a number it computed from raw history, with the command that produced it.
86,000+ instruments
Global equities, ETFs, funds, options, FX, commodities, crypto, economics, filings, transcripts and news — one normalised symbol universe with adjusted history.
A real analytics engine
Screening, backtesting, technicals, options analytics, correlations, seasonality and factor models — computed on demand from raw prices, never a stale cache.
It shows its working
Answers arrive with the charts, tables and tool calls behind them, so you can check the number instead of trusting a paraphrase.
Your own documents
Upload filings, decks and research. Ask across them and the answer cites the page it came from.
Agents and workflows
Multi-step research that runs the platform's tools for you — screen, pull the history, compute, compare, then write it up.
MCP, CLI and API
The same command catalogue from Claude, your own agent, a shell or your pipeline. The answer on screen is the answer your job gets at 4am.
You ask
“How does NVDA usually trade through earnings?”
It calls
→ ka.options_expected_move(NVDA)
It answers
NVDA has averaged a 9.2% absolute move on the day after earnings and closed higher 67% of the time. Two in three reactions land between −4.2% and +16.3% — the distribution is skewed right, not symmetric.
Every figure computed live from our own history — not scraped, not summarised.
Or start with