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Palantir Technologies - Peering into data and analytics

 

Hashmeel Suka & Chantal Marx

Palantir Technologies specialises in advanced software solutions used to analyse and engineer large-scale data sets, ultimately helping customers to understand and find insightful solutions to complex challenges. The company, which was founded in 2003, was initially focused on government work (particularly for intelligence and defence purposes), but has since expanded into the commercial space, serving clients across industries including Financial Services, Healthcare, and Manufacturing. Through its main platforms (Apollo, Artificial Intelligence, Foundry and Gotham) customers can leverage data and analytics for various purposes, such as enhancing the decision-making process, optimising the operational value chain, and supporting security-related objectives.

The company was taken public in September 2020 by co-founders Alex Karp (current CEO), Peter Thiel (Chairman of the Board) and Steve Cohen (Head of Product Development). Despite some scepticism surrounding the company's heavy reliance on government work (and hence its long-term profitability), Palantir's IPO was a significant milestone, highlighting rapidly growing demand for data-driven solutions from corporations all around the globe.

Operating structure

Palantir operates a unique business model, focusing on long-term partnerships with clients, whereby proprietary software solutions are deeply integrated into businesses, offering real-time insights through custom-built analytics solutions. The company's clients are aggregated across two segments:

    • The Government Sector (~55% of total revenue): This has been Palantir's foundation since inception, with major clients including the US Department of Defence, Department of Homeland Security, the Central Intelligence Agency (CIA) as well as various European government organisations. The company's focus is on national security, defence, and intelligence analytics, enabling customers to harness immense volumes of financial, geographical, and behavioural data to identify potential safety threats and enhance overall security infrastructure.
    • Commercial Sector (~45% of revenue): Over the past few years, the company has significantly expanded its commercial sector business, securing partnerships with major corporations across key industries, with renowned names such as JP Morgan Chase & Co., Merck, Airbus and Ferrari among its customers. Palantir's clients predominantly use the Foundry platform for key functions such as predictive analytics, supply-chain optimisation and process automation, with the primary goal of achieving cost efficiencies and improving decision-making.

Harnessing the power of AI

Palantir has been investing heavily in AI technology to enhance its existing product offering. With recent advancements in machine learning, large language models (LLMs), and generative-predictive text (GPT), the company has been able to significantly upgrade its platforms with capabilities for natural language processing as well as predictive analytics, allowing clients to engage more intuitively with data, improving the business intelligence process.

Defen(ce)ve

Palantir's capabilities in integrating AI and LLMs into defence and intelligence operations remains key to its defensive investment case. By way of the company's own example - its software can combine various models to help detect, identify, and execute required operations more safely and securely by integrating drone technology, terrain modelling, and signal jamming to provide options to defence decision makers in modern warfare scenarios.

The current geopolitical situation globally has seen increased expenditure in all facets of defence including Smart Defence, where Palantir continues to hold an edge.

On 18 December, the company announced the expansion of its contract with the US Army to support the "Army Data Platform" (ADP). The value of this agreement is approximately $401 million over four years, with a total available ceiling of $619 million. This is in line with its previous expansion signed in 2023 - but highlights the strategic importance of the company's capabilities from a defence perspective.

According to news reports, the company is also going to be part of a consortium that includes other AI players who will potentially bid on future defence contracts as a collective.

The commercial opportunity is still significant

The opportunity for AI and LLM adoption in the commercial context is still significant. While many US companies have begun leveraging the power of AI applications in its business processes, adoption is still in its infancy, meaning that the opportunity to leverage a strong market position is still substantial in the world's largest economy. There is, of course, still substantial scope for expansion outside of the US as well and the company already has a growing footprint in Europe.

While recent strong adoption has taken place in energy, healthcare, supply-chain management, and finance, Palantir's software can be valuable in almost every industry. Some examples highlighted by the company include the use of Palantir's Foundry providing Pacific Gas & Energy (a major California utility company) with a complete operating picture of the grid. Combining equipment health data, geospatial location and network topography, Foundry helps predict when the utility should conduct maintenance and switches parts of its electrical system on and off at critical junctures. Palantir has also built specialist applications for vehicle testing (initially rolled out at Ferrari's F1 team but now to broader production facilities), food aid, and has recently even launched a Football demo to help coaches with refining strategy in the moment.

Financials

Palantir has shown solid growth over the past three years with revenue increasing 27% on a compounded annual growth basis. This has been driven by rapidly growing demand for data analytics and AI-driven insights from its diverse customer base.

In FY23:.

    • Revenue grew 17% y/y to $2.2 billion, supported by strong commercial growth (+20%, with the US up 36%) as well as continued execution on government contracts (+14%).
    • Operating Income (EBIT) climbed 50% y/y to $633 million (on a comparable basis), reflecting improved economies of scale amid strong customer adoption. The company also achieved a positive operating margin (~5.4%) for the year, driven by an ongoing focus on operational efficiencies and cost-cutting.
    • This ultimately led to a superb bottom-line performance with adjusted EPS coming in at $0.25 (vs $0.06 in FY22).
    • Free Cash Flow increased substantially to $697 million (FY22: $184 million), in line with the company's strategy of generating sustainable cash from operations.

Recent results for the company have also been quite impressive. For 3Q24, revenue climbed 30% y/y to $726 million, EBIT was up 69% y/y to $276 million, and adjusted EPS rose 43% y/y to $0.10. Looking ahead to the company's 4Q24 and FY24 results (due around 5 February 2025), revenue growth is expected to come in at ~28% and ~26% for the quarter and the full year, respectively. This is set to filter into adjusted EPS growth of ~39% and 52%, respectively.

Investment case summary

    • Palantir is a market leader, holding a dominant position in the business analytics and intelligence space. The company offers comprehensive software solutions (with advanced data integration and AI capabilities) for complex data challenges.
    • The long-term nature of Palantir's government and commercial contracts supports a stable revenue profile with recurring cash flows.
    • The company's ongoing expansion beyond the government sector offers significant opportunity for revenue and earnings growth, particularly as data analytics become integral to clients' business strategy.
    • In recent years, Palantir has shifted its focus toward margins, profitability, and cash flows, supporting efforts aimed at developing a sustainable long-term business model.
    • The company is set to benefit from the recent US election outcome, with well documented ties between itself and key members of President Trump's administration.
    • Strategic foresight into quantum computing positions the company as a frontrunner in the space, providing a potential competitive advantage involving unprecedented analytical capabilities.

Risks

    • Although Palantir is diversifying and evolving its business model, a substantial portion of revenue is still derived from government contracts, which are highly sensitive to regulatory changes and budget constraints.
    • Despite efforts to diversify its customer base, revenue is still geared toward a small number of large contracts. The loss or downsizing of these key contracts could result in a substantial impact on profitability.
    • The enterprise-focused Foundry platform has faced adoption challenges in industries where companies have relatively lower budgets or still utilise legacy infrastructure. Persuading commercial clients to adopt and integrate the company's complex and premium software solutions remains a challenge.
    • The company faces mounting competition related to technological advancements (in the analytics and AI-driven software space) as well as pricing pressures, particularly from competitors such as Snowflake and C3.ai.
    • Data practices, particularly in government applications, have faced public scrutiny over privacy and ethical implications. Should the company receive any negative press, this could lead to severe reputational damage, ultimately impacting client relationships and market perception.

Consensus outlook and valuation

    • Due to strong price appreciation over the past year, the stock is now trading at extremely elevated multiples relative to its own history and peers.
    • Market consensus is currently neutral-to-negative, around 50% of sell-side analysts maintain a "Hold" recommendation, and around 33% maintain a "Sell".
    • The 12-month aggregate target price is currently ~$46.70, which is ~29% below current levels (~$65.91).

    • Consensus is, however, still bullish on the company's potential to achieve sustained growth and profitability, particularly as it expands its commercial footprint and leverages new AI capabilities. This is reflected by strong optimism in financial forecasts.

    • It does seem, however, that the valuation has run well ahead of itself. We would reconsider an investment in the stock in the event of a meaningful derating - either if the stock price comes under pressure or alternatively, if there are significant new contracts that meaningfully change the outlook for revenue on profitability.

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