---
title: "PLTR Palantir Technologies"
canonical: "https://supercyclehq.com/stock/palantir-technologies"
type: "stock"
dataAsOf: "2026-11-06"
ticker: "PLTR"
license: "Free to use and quote with attribution to supercyclehq.com. Do not redistribute as a dataset."
disclaimer: "Informational only, not investment advice. The AI Exposure Score is Supercycle's editorial opinion. Agent portfolios are simulated paper portfolios run by AI."
---

# Palantir Technologies (PLTR)

Palantir Technologies sells data analytics and AI platforms to governments and large enterprises.

## AI Exposure Score

**85/100, Core.** Sells AIP plus its Foundry and Gotham platforms so governments and enterprises can run AI on their operational data. AIP demand is the entire growth story and the reason for the valuation, making enterprise AI adoption the thesis.

## Quote

| Field | Value |
| --- | --- |
| Price (EOD close) | $160.38 |
| Change 1d | +3.48% |
| Change 7d | -12.89% |
| Change 30d | -19.32% |
| Change 1y | -9.86% |
| 52-week high | $209.05 |
| 52-week low | $107.27 |
| Market cap | $386.4B |
| P/E | 112.94 |
| EPS | $1.42 |
| Next earnings | 2027-02-01 |

Quote as of 2026-11-06.

## Company

| Field | Value |
| --- | --- |
| Exchange | NYSE |
| Sector | Technology |
| Headquarters | Denver, Colorado |
| CEO | Alexander C. Karp |
| Employees | 4,634 |
| Website | https://www.palantir.com |
| Buildout layers | [AI Software & Platforms](https://supercyclehq.com/category/ai-software), [Defense & Aerospace AI](https://supercyclehq.com/category/defense-ai), [AI Applications](https://supercyclehq.com/category/ai-saas) |

## What the company does

Palantir Technologies sells data analytics and AI platforms to governments and large enterprises. Its software connects an organization's data into an ontology, a live model of its operations, and then lets AI act on it. Revenue comes from platform subscriptions and deployments.

AIP, its Artificial Intelligence Platform, is the growth engine, letting customers run AI on their operational data with controls. Gotham serves government and defense, Foundry serves commercial enterprises, Apollo handles software delivery, and AI Mesh extends the stack.

Founded in 2003 and headquartered in Denver, Colorado, Palantir trades on the NYSE and employs about 4,400 people under CEO Alex Karp.

## Role in the AI buildout

Palantir spans the AI Software & Platforms, Defense & Aerospace AI, and AI Applications layers, sitting where enterprises and governments actually put AI to work. Its platforms turn operational data into something AI can safely act on, making it a primary vehicle for enterprise AI adoption. AIP demand is the entire growth story and the reason the market values it as it does, which is why Supercycle scores its AI exposure at 85 out of 100.

## Tracked investors holding it (13F)

| Investor | Fund | Position value | Portfolio % | Change | Period |
| --- | --- | --- | --- | --- | --- |
| [Cathie Wood](https://supercyclehq.com/investors/cathie-wood) | ARK Investment Management | $374.8M | 2.43% | increased | 2026-06-30 |

## Recent news

- [$3 trillion wipe-out, CEOs on the volatility of politics, and the status of the AI trade](https://finance.yahoo.com/video/3-trillion-wipe-out-ceos-on-the-volatility-of-politics-and-the-status-of-the-ai-trade-151554253.html?.tsrc=rss) (source, 2026-11-06)
- [Palantir Technologies Inc. (PLTR) Delivered Explosive AI Growth: Is the Stock Still Worth Watching?](https://finance.yahoo.com/markets/stocks/articles/palantir-technologies-inc-pltr-delivered-173014252.html?.tsrc=rss) (source, 2026-11-06)
- [The Biggest Takeaway From Palantir Technologies’ Latest Quarterly Report Is a Potential Warning Sign Investors Shouldn’t Miss](https://www.fool.com/investing/2026/11/06/the-biggest-takeaway-from-palantir-technologies-latest-quarterly-report-is-a-potential-warning-sign-investors-shouldn-t-miss/?.tsrc=rss) (source, 2026-11-06)
- [Palantir Grew Revenue 96% and the Stock Still Fell. Here’s Where the Price Target Goes](https://247wallst.com/investing/2026/11/06/palantir-grew-revenue-96-and-the-stock-still-fell-heres-where-the-price-target-goes/?.tsrc=rss) (source, 2026-11-06)
- [PLTR support and resistance levels to watch](https://finance.yahoo.com/markets/stocks/articles/pltr-support-resistance-levels-watch-155752586.html?.tsrc=rss) (source, 2026-11-06)

## FAQ

### What does Palantir Technologies do?

Palantir sells data analytics and AI platforms to governments and enterprises. Its software builds an ontology of an organization's data and operations, then lets teams and AI systems analyze and act on it.

### How is Palantir exposed to AI?

Heavily. Demand for AIP, its platform for running AI on operational data, is the entire growth story. Supercycle rates its AI Exposure Score at 85 out of 100, near the top of the leaderboard.

### What are Palantir's main products?

AIP for enterprise AI deployment, Gotham for government and defense operations, Foundry for commercial data integration, Apollo for continuous software delivery, and AI Mesh extending the platform stack.

### Is PLTR a pure play AI stock?

Close to it. Enterprise and government AI adoption is the thesis, with AIP driving growth on top of its established Gotham and Foundry base. Its AI Exposure Score is 85 out of 100.

### Who are Palantir's customers?

Governments and large enterprises. Gotham serves government, defense, and intelligence customers, while Foundry and AIP serve commercial enterprises that want to integrate their data and deploy AI against real operations.

### Where is Palantir based and who leads it?

Palantir is headquartered in Denver, Colorado, and led by CEO Alex Karp. Founded in 2003, the company employs about 4,400 people and its shares trade on the NYSE.

---

Source: https://supercyclehq.com/stock/palantir-technologies. Data as of 2026-11-06. Prices are end-of-day closes, never live.

Informational only, not investment advice. The AI Exposure Score is Supercycle's editorial opinion. Agent portfolios are simulated paper portfolios run by AI.

Free to use and quote with attribution to supercyclehq.com. Do not redistribute as a dataset.
