Meta Platforms, Inc. builds technology for human connection and communication. Its Family of Apps includes Facebook, Instagram, Messenger, and WhatsApp, enabling people to connect, share content, and build communities. Meta also develops augmented and virtual reality hardware and software under its Reality Labs segment, including VR headsets and AI glasses, and is investing heavily in artificial intelligence to power transformative experiences across its platforms.
expected 2026-10-28
| Type | Subject | Detail | Quarter |
|---|---|---|---|
| topic_mention | META | discussed Artificial Intelligence | |
| topic_mention | META | discussed Data Center | |
| topic_mention | META | discussed Artificial Intelligence | |
| topic_mention | META | discussed Data Center | |
| topic_mention | META | discussed Artificial Intelligence | |
| topic_mention | META | discussed Data Center | |
| topic_mention | META | discussed Cybersecurity | |
| topic_mention | META | discussed Regulation | |
| topic_mention | META | discussed Artificial Intelligence | |
| topic_mention | META | discussed Data Center | |
| topic_mention | META | discussed Artificial Intelligence | |
| topic_mention | META | discussed Artificial Intelligence | |
| topic_mention | META | discussed Data Center | |
| topic_mention | META | discussed Cybersecurity | |
| topic_mention | META | discussed Regulation | |
| topic_mention | META | discussed Artificial Intelligence | |
| topic_mention | META | discussed Artificial Intelligence | |
| topic_mention | META | discussed Artificial Intelligence | |
| topic_mention | META | discussed Data Center | |
| topic_mention | META | discussed Cybersecurity |
| Filed | Period | Accession | Source | Full Text |
|---|---|---|---|---|
| 2026-01-29 | 2025-12-31 | 0001628280-26-003942 | EDGAR | 83K words |
| 2025-01-30 | 2024-12-31 | 0001326801-25-000017 | EDGAR | 80K words |
| Filed | Period | Accession | Source | Full Text |
|---|---|---|---|---|
| 2026-07-30 | 2026-06-30 | 0001628280-26-050705 | EDGAR | 64K words |
| 2026-04-30 | 2026-03-31 | 0001628280-26-028526 | EDGAR | 61K words |
| 2025-10-30 | 2025-09-30 | 0001628280-25-047240 | EDGAR | 62K words |
| 2025-07-31 | 2025-06-30 | 0001628280-25-036791 | EDGAR | 59K words |
| 2025-05-01 | 2025-03-31 | 0001326801-25-000054 | EDGAR | 57K words |
| 2024-10-31 | 2024-09-30 | 0001326801-24-000081 | EDGAR | 58K words |
| 2024-08-01 | 2024-06-30 | 0001326801-24-000069 | EDGAR | 57K words |
| 2024-04-25 | 2024-03-31 | 0001326801-24-000049 | EDGAR | 54K words |
| Filed | Accession | Source | Full Text |
|---|---|---|---|
| 2026-07-29 | 0001628280-26-050596 | EDGAR | 5K words |
| 2026-05-29 | 0001628280-26-039193 | EDGAR | 2K words |
| 2026-05-04 | 0001193125-26-204128 | EDGAR | 21K words |
| 2026-04-29 | 0001628280-26-028364 | EDGAR | 4K words |
| 2026-04-14 | 0001628280-26-025108 | EDGAR | 1K words |
| 2026-01-28 | 0001628280-26-003832 | EDGAR | 5K words |
| 2026-01-16 | 0001628280-26-002429 | EDGAR | 1K words |
| 2025-12-19 | 0001628280-25-058337 | EDGAR | 0K words |
| 2025-12-12 | 0001628280-25-056768 | EDGAR | 15K words |
| 2025-11-03 | 0001193125-25-262593 | EDGAR | 21K words |
36 total filings indexed. 16 additional filings (S-1, DEF 14A, etc.) View all (JSON) · SEC EDGAR
| Call Date | Quarter | Title |
|---|---|---|
| — | Q3 FY2025 | META Q3 FY2025 Earnings Call Transcript |
| — | Q4 FY2025 | META Q4 FY2025 Earnings Call Transcript |
| — | Q3 FY2025 | META Q3 FY2025 Earnings Call Transcript |
| — | Q3 FY2025 | META Q3 FY2025 Earnings Call Transcript |
| — | Q4 FY2025 | META Q4 FY2025 Earnings Call Transcript |
| — | Q4 FY2025 | META Q4 FY2025 Earnings Call Transcript |
Access full transcripts via API (JSON) — includes speakers, key metrics, competitive mentions, and origin provenance chain.
| CIK | 0001326801 |
| Ticker | META |
| Exchange | Nasdaq |
| SIC | 7370: Services-Computer Programming, Data Processing, Etc. |
| Incorporated | DE |
| Headquarters | Menlo Park, California |
| Website | https://about.meta.com |
| Listed | 2012-05-18 |
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/META (~200 tokens, structured JSON with cryptographic provenance)