Results and Guidance Beat Expectations; “Sovereign AI” May Open PLTR’s Next Growth Phase
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Results and Guidance Beat Expectations; “Sovereign AI” May Open PLTR’s Next Growth Phase
Goldman Sachs raised PLTR’s 12-month target price from $183 to $204, believing that enterprise “sovereign AI” demand, customer expansion, and government business momentum are likely to support growth, while maintaining a Neutral rating to reflect competition and high valuation risks.
- Second-quarter revenue was 7% above market expectations, and EBIT margin was about 200 basis points higher.
- 2026 revenue guidance was 6% above market expectations, and EBIT margin guidance was about 100 basis points higher.
- U.S. commercial business grew 150% year over year, and U.S. government business grew 90% year over year.
- Goldman Sachs raised its 2026 to 2029 revenue forecasts and increased its 12-month target price to $204.
- Enterprise demand for “sovereign AI” that maintains control over data, business logic, and intellectual property may become a catalyst for the next stage of growth.
Report interpretation
Overview
Palantir delivered significantly better-than-expected revenue and earnings performance in Q2 2026, with shares rising 15% after hours. Management set a goal for U.S. commercial and government businesses to maintain or exceed current growth rates over the next 18 months. Goldman Sachs believes that, in addition to continued expansion among existing customers, enterprises’ diversified strategies of adopting SLMs, open-source or open-weight models, and frontier models will increase demand for platforms that can deploy AI within existing workflows while retaining control over data and intellectual property, which may become a new growth catalyst for Palantir.
Core views
Growth momentum comes from two main lines: the U.S. commercial business continues to accelerate, driven by larger enterprise contracts, high net revenue retention, and strong total contract value; the U.S. government business is driven by expanded Maven adoption and growth in the developer ecosystem. Goldman Sachs therefore raised its medium-term revenue and EPS forecasts across the board, but believes the company still needs to continuously demonstrate the customer value, portability, and innovation capability of its solutions to address pressure from the competitive environment and the increase in off-the-shelf AI solutions.
Analysis framework
The report first compares actual second-quarter results, market expectations, and management guidance, then breaks down growth, contract size, customer expansion, and ecosystem metrics for the U.S. commercial and government businesses. On this basis, it adjusts financial forecasts for 2026 to 2029 and derives a 12-month target price using a forward free cash flow multiple, while assessing scenario risks related to competition, the macro environment, and government demand.
Methodology notes
Determine the target price by applying a valuation multiple to Q5 to Q8 free cash flow forecasts
The target price uses a 60x valuation multiple on Q5 to Q8 free cash flow forecasts, down from 65x previously due to lower comparable company valuations; after upward earnings forecast revisions, the target price still rose from $183 to $204.
Revise multi-year forecasts based on actual results, business metrics, and management guidance
The report combines the magnitude of revenue and margin beats, growth rates of commercial and government businesses, total contract value, net revenue retention, and the number of large contracts to raise revenue and EPS forecasts for 2026 to 2029.
Evaluate stocks based on growth, financial returns, valuation multiples, and composite factors
The growth factor uses forward sales, EBITDA, and EPS growth; the financial return factor uses ROE, ROCE, and CROCI; the valuation factor uses P/E, P/B, EV/EBITDA, and EV/FCF metrics, among others. The composite factor is the average of growth, financial return, and inverse valuation percentiles.
Asset mapping & comparison
Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).
- PLTR.USCore covered stock in the report
- Strengths
- Both commercial and government businesses are maintaining rapid growth, with strong performance in large contracts, total contract value, and net revenue retention; the platform can help customers deploy AI within existing workflows while controlling data, logic, and intellectual property.
- Weaknesses
- Valuation multiples are high, and share price performance is highly sensitive to growth sustainability, margin expansion, and the realization of medium- to long-term forecasts.
- Comparison
- Goldman Sachs maintains a Neutral rating based on PLTR’s total return potential relative to its software coverage group; the report does not provide a quantitative peer comparison by company.
- Risks
- Commercial business may decelerate due to macro weakness, competition may intensify, off-the-shelf AI solutions may increase, and the company may fail to continue winning orders through innovation and customer value.
Key data
- 12-month target price$204.00Previously $183.00.
- Share price listed in the report$125.65Corresponds to 62.4% potential upside to the target price.
- Second-quarter revenue beat7%Relative to consensus market expectations.
- Second-quarter EBIT margin beatAbout 200 basis pointsReflects profitability significantly better than market expectations.
- U.S. commercial business growthUp 150% year over yearUp 133% year over year in the first quarter.
- U.S. government business growthUp 90% year over yearUp 84% year over year in the first quarter.
- Total contract value$2.1bnUp 118% year over year.
- Net revenue retention157%Shows strong expansion momentum among existing customers.
- Number of large contracts220 deals over $1mn, 98 deals over $5mn, 73 deals over $10mnReflects continued growth in large enterprise agreements.
- Average revenue from top 20 customers$124mnUp 67% year over year on a trailing twelve-month basis.
- 2026 revenue forecast$8,371.2mnPrevious forecast was $7,960.7mn.
- 2027 revenue forecast$12,870.3mnPrevious forecast was $11,586.1mn.
- 2028 revenue forecast$16,821.4mnPrevious forecast was $14,844.7mn.
- 2029 revenue forecast$21,322mnPrevious forecast was $18,150mn.
- 2026 expected P/E ratio77.8xIndicates the market has already priced in relatively high growth expectations.
Impact & implications
If Palantir can become the core operating platform in enterprises’ multi-model AI architecture and continue to embed AI into customers’ existing workflows, its commercial business may gain incremental demand beyond existing customer expansion; Maven and the expansion of the government developer ecosystem provide a second growth pillar. The forecast and target price increases support expectations for medium-term earnings improvement, but the current valuation requires the company to continue delivering high growth and margin expansion. Any slowdown in commercial momentum or deterioration in competition could trigger significant valuation volatility.
Risks
- A weaker macro environment may lead to tighter enterprise budgets, slowing commercial business growth.
- An intensifying competitive environment may weaken Palantir’s ability to win orders or its pricing power.
- An increase in off-the-shelf AI solutions may reduce the necessity for customers to adopt the Palantir platform.
- High valuation means that if results or guidance fall slightly short of expectations, the share price may experience a significant pullback.
- Goldman Sachs has had an investment banking client relationship with Palantir in the past 12 months and expects or seeks to receive compensation for investment banking services in the next 3 months.
What to watch
- Whether U.S. commercial and government businesses can maintain or exceed current growth rates over the next 18 months.
- Whether enterprises’ multi-model strategy and “sovereign AI” demand can translate into new customers and large contracts.
- Changes in net revenue retention, average revenue from the top 20 customers, and total contract value.
- The adoption scope of the Maven project and the activity level of the developer ecosystem with more than 25,000 participants.
- The realization of 2026 revenue and EBIT margin guidance.
- The impact of competing products, open-source models, and off-the-shelf AI solutions on new orders and pricing.
- Whether revenue, EPS, and free cash flow forecasts for 2026 to 2029 can be achieved.