---
title: "UCTT Ultra Clean Holdings"
canonical: "https://supercyclehq.com/stock/ultra-clean-holdings"
type: "stock"
dataAsOf: "2026-11-02"
ticker: "UCTT"
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."
---

# Ultra Clean Holdings (UCTT)

Ultra Clean Holdings supplies the semiconductor equipment industry.

## AI Exposure Score

**55/100, Strategic.** Ultra Clean supplies gas delivery systems, chamber subsystems, and parts cleaning services to semiconductor equipment makers and fabs. Its revenue tracks wafer fab equipment spending, which AI chip capacity is now the primary force driving, though it also carries broad semicap cyclicality.

## Quote

| Field | Value |
| --- | --- |
| Price (EOD close) | $46.83 |
| Change 1d | -5.79% |
| Change 7d | +0.26% |
| Change 30d | -35.58% |
| Change 1y | +64.14% |
| 52-week high | $142.59 |
| 52-week low | $21.65 |
| Market cap | $2.2B |
| P/E | 80.74 |
| EPS | $0.58 |
| Next earnings | 2026-10-27 |

Quote as of 2026-11-02.

## Company

| Field | Value |
| --- | --- |
| Exchange | NASDAQ |
| Sector | Technology |
| Headquarters | Hayward, California |
| CEO | Jinsong Xiao |
| Employees | 6,948 |
| Website | https://www.uct.com |
| Buildout layers | [Semiconductors](https://supercyclehq.com/category/semiconductors) |

## What the company does

Ultra Clean Holdings supplies the semiconductor equipment industry. It builds gas delivery systems, chemical delivery modules, and chamber subsystems for the machines that make chips, and it provides wafer cleaning and parts cleaning services to equipment makers and fabs.

Its products are the plumbing of chip manufacturing: gas delivery systems that feed process chambers, chemical delivery modules, chamber parts solutions, and cleaning services that keep fab components within spec.

Founded in 1991 and headquartered in Hayward, California, Ultra Clean trades on the NASDAQ, employs roughly 5,000 people, and is led by CEO Jinsong Xiao.

## Role in the AI buildout

Ultra Clean sits in the Semiconductors layer as a supplier to the suppliers. Its subsystems and cleaning services go into the wafer fab equipment that produces advanced chips, so its revenue tracks equipment spending. AI chip capacity is now the primary force driving that spending, which pulls Ultra Clean along with it, though the company still carries the full cyclicality of the semiconductor equipment market. Supercycle scores its AI exposure at 55 out of 100.

## FAQ

### What does Ultra Clean Holdings do?

Ultra Clean builds gas delivery systems, chemical delivery modules, and chamber subsystems for semiconductor equipment makers, and provides wafer and parts cleaning services to fabs. Its components sit inside the machines that manufacture chips.

### How is Ultra Clean Holdings exposed to AI?

Substantially, through equipment spending. Supercycle scores it 55 out of 100. AI chip capacity is now the primary force driving wafer fab equipment demand, which its subsystems and services track, along with broader semicap cycles.

### What are Ultra Clean's main products?

Gas delivery systems, chemical delivery modules, chamber parts solutions, and wafer cleaning services. These subsystems and services support semiconductor equipment makers and the fabs that run their machines.

### Where is Ultra Clean headquartered and who leads it?

Ultra Clean Holdings is headquartered in Hayward, California, and led by CEO Jinsong Xiao. The company was founded in 1991, trades on the NASDAQ, and employs roughly 5,000 people.

---

Source: https://supercyclehq.com/stock/ultra-clean-holdings. Data as of 2026-11-02. 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.