Notice of Proposed Sale · 144
PDF Solutions, Inc.
PDFSNASDAQEQUITYCurrent
Notice of Proposed Sale
Structured filing — 144
primary_doc.xml
Notice of proposed sale. The proposed amounts below do not establish that a sale occurred.
Proposed-sale notice
- Issuer
- PDF SOLUTIONS, INC.
- Issuer CIK
- 0001120914
- SEC file number
- 000-31311
- Phone
- 408-280-7900
- Person for whose account securities are to be sold
- SHUO ZHANG
- Relationships to issuer
- Director
- Street
- 2858 De La Cruz Blvd.
- City
- Santa Clara
- State / country code
- CA
- Postal code
- 95050
Securities proposed for sale
| Security | Proposed units | Aggregate market value | Units outstanding | Approximate sale date | Exchange | Broker / market maker |
|---|---|---|---|---|---|---|
| Common | 1,501 | 77,257.22 | 42,227,216 | 08/12/2026 | NASDAQ | Morgan Stanley Smith Barney LLC Executive Financial Services |
Broker / market maker — proposed row 1, entry 1
- Name
- Morgan Stanley Smith Barney LLC Executive Financial Services
- Street
- 1 New York Plaza
- Street (continued)
- 8th Floor
- City
- New York
- State / country code
- NY
- Postal code
- 10004
Acquisition of securities to be sold
| Security | Acquired | Nature of acquisition | Acquired from | Amount acquired | Gift transaction | Payment date | Nature of payment |
|---|---|---|---|---|---|---|---|
| Common | 08/01/2023 | Restricted Stock | Issuer | 1,501 | N | 08/01/2023 | Not Applicable |
Prior-sale reporting
- Nothing to report for the preceding three months
- Y
Notice signature
- Notice date
- 08/12/2026
- Signed
- /s/ Shou Zhang
Company context
PDF Solutions (Nasdaq: PDFS) provides comprehensive data solutions designed to empower organizations across the semiconductor and electronics industry ecosystems to improve the yield and quality of their products and operational efficiency for increased profitability. The Company’s products and services are used by Fortune 500 companies across the semiconductor ecosystem to achieve smart manufacturing goals by connecting and controlling equipment, collecting data generated during manufacturing and test operations, and performing advanced analytics and machine learning to enable profitable, high-volume manufacturing.