Ambarella Inc. is a semiconductor company that designs low-power system-on-chip (SoC) solutions for video and image processing. The company develops chips and software for computer vision applications, enabling AI-based processing in cameras and other devices. Ambarella's products target professional IP security cameras, consumer cameras, automotive applications, and other markets requiring high-quality video capture and intelligent analysis.
expected 2026-12-03
| Filed | Period | Accession | Source | Full Text |
|---|---|---|---|---|
| 2026-03-23 | 2026-01-31 | 0001193125-26-119321 | EDGAR | 66K words |
| 2025-03-28 | 2025-01-31 | 0000950170-25-046499 | EDGAR | 66K words |
| 2024-03-29 | 2024-01-31 | 0000950170-24-038555 | EDGAR | 73K words |
| 2023-03-31 | 2023-01-31 | 0000950170-23-011305 | EDGAR | — |
| 2022-04-01 | 2022-01-31 | 0001564590-22-013224 | EDGAR | — |
| 2021-03-31 | 2021-01-31 | 0001564590-21-016988 | EDGAR | — |
| 2020-03-27 | 2020-01-31 | 0001564590-20-013513 | EDGAR | — |
| 2019-03-29 | 2019-01-31 | 0001564590-19-010114 | EDGAR | — |
| 2018-03-30 | 2018-01-31 | 0001564590-18-007226 | EDGAR | — |
| 2017-03-30 | 2017-01-31 | 0001564590-17-005590 | EDGAR | — |
| Filed | Period | Accession | Source | Full Text |
|---|---|---|---|---|
| 2026-09-04 | 2026-07-31 | 0001193125-26-383365 | EDGAR | 42K words |
| 2025-12-04 | 2025-10-31 | 0001193125-25-307917 | EDGAR | 44K words |
| 2025-09-03 | 2025-07-31 | 0001193125-25-194853 | EDGAR | 43K words |
| 2025-06-03 | 2025-04-30 | 0000950170-25-080767 | EDGAR | 40K words |
| 2024-12-06 | 2024-10-31 | 0000950170-24-134023 | EDGAR | 47K words |
| 2024-09-04 | 2024-07-31 | 0000950170-24-103199 | EDGAR | 46K words |
| 2024-06-06 | 2024-04-30 | 0000950170-24-069790 | EDGAR | 43K words |
| 2023-12-08 | 2023-10-31 | 0000950170-23-068983 | EDGAR | 47K words |
| 2023-09-08 | 2023-07-31 | 0000950170-23-047207 | EDGAR | — |
| 2023-06-06 | 2023-04-30 | 0000950170-23-026602 | EDGAR | — |
| 2022-12-09 | 2022-10-31 | 0001564590-22-039181 | EDGAR | — |
| 2022-09-08 | 2022-07-31 | 0001564590-22-031282 | EDGAR | — |
| Filed | Accession | Source | Full Text |
|---|---|---|---|
| 2026-09-03 | 0001193125-26-381923 | EDGAR | 5K words |
| 2026-02-27 | 0001193125-26-083175 | EDGAR | 1K words |
| 2026-02-26 | 0001193125-26-076823 | EDGAR | 5K words |
| 2025-11-25 | 0001193125-25-297233 | EDGAR | 4K words |
| 2025-08-28 | 0001193125-25-191300 | EDGAR | 4K words |
| 2025-06-06 | 0001193125-25-137166 | EDGAR | 1K words |
| 2025-05-29 | 0001193125-25-130656 | EDGAR | 3K words |
| 2025-04-04 | 0001193125-25-073534 | EDGAR | 1K words |
| 2025-02-28 | 0001193125-25-042642 | EDGAR | 1K words |
| 2025-02-26 | 0001193125-25-036769 | EDGAR | 5K words |
129 total filings indexed. 97 additional filings (S-1, DEF 14A, etc.) View all (JSON) · SEC EDGAR
| CIK | 0001280263 |
| Ticker | AMBA |
| Exchange | Nasdaq |
| SIC | 3674: Semiconductors & Related Devices |
| Website | https://www.ambarella.com |
| Listed | 2012-10-10 |
This is a static snapshot. For live, structured JSON with cryptographic provenance chain:
MCP (recommended for AI): claude mcp add origin --transport http https://origin.rootz.global/mcp
Try it — paste this into your AI:
Works in ChatGPT, Claude, Gemini, or any AI. Free, structured, cryptographically signed — ~500 tokens vs 130,000 scraping an IR site.
claude mcp add origin --transport http https://origin.rootz.global/mcpGET https://origin.rootz.global/api/company/AMBA (~200 tokens, structured JSON with cryptographic provenance)