Certara is a global leader in biosimulation science, technology, and consulting services for Model-Informed Drug Development (MIDD) in the biopharmaceutical and biotech industry. The company offers software platforms including Simcyp Simulator, Phoenix PK/PD suite, and Certara.AI, alongside regulatory writing and submission services. Its customers have received 90% or more of all novel FDA drug approvals from 2014 through 2025, and its software is used by over 160,000 users and 20 global regulatory agencies.
Q2 FY2026 — expected 2026-08-09
| Filed | Period | Accession | Source | Full Text |
|---|---|---|---|---|
| 2026-02-26 | 2025-12-31 | 0001827090-26-000011 | EDGAR | 70K words |
| 2025-02-26 | 2024-12-31 | 0001827090-25-000014 | EDGAR | 68K words |
| 2024-02-29 | 2023-12-31 | 0001827090-24-000006 | EDGAR | 70K words |
| 2023-03-01 | 2022-12-31 | 0001558370-23-002605 | EDGAR | 78K words |
| 2022-03-01 | 2021-12-31 | 0001558370-22-002608 | EDGAR | — |
| 2021-03-15 | 2020-12-31 | 0001558370-21-002979 | EDGAR | — |
| Filed | Period | Accession | Source | Full Text |
|---|---|---|---|---|
| 2026-08-04 | 2026-06-30 | 0001827090-26-000028 | EDGAR | 27K words |
| 2025-11-06 | 2025-09-30 | 0001827090-25-000048 | EDGAR | 26K words |
| 2025-08-06 | 2025-06-30 | 0001827090-25-000036 | EDGAR | 25K words |
| 2025-05-05 | 2025-03-31 | 0001827090-25-000028 | EDGAR | 21K words |
| 2024-11-06 | 2024-09-30 | 0001827090-24-000037 | EDGAR | 26K words |
| 2024-08-06 | 2024-06-30 | 0001827090-24-000029 | EDGAR | 26K words |
| 2024-05-07 | 2024-03-31 | 0001827090-24-000013 | EDGAR | 22K words |
| 2023-11-08 | 2023-09-30 | 0001827090-23-000021 | EDGAR | 31K words |
| 2023-08-09 | 2023-06-30 | 0001827090-23-000010 | EDGAR | 30K words |
| 2023-05-08 | 2023-03-31 | 0001558370-23-008541 | EDGAR | 26K words |
| 2022-11-07 | 2022-09-30 | 0001558370-22-016642 | EDGAR | 30K words |
| 2022-08-09 | 2022-06-30 | 0001558370-22-012907 | EDGAR | 29K words |
| Filed | Accession | Source | Full Text |
|---|---|---|---|
| 2026-08-07 | 0001104659-26-092730 | EDGAR | 1K words |
| 2026-08-04 | 0001827090-26-000026 | EDGAR | 7K words |
| 2026-08-04 | 0001104659-26-090050 | EDGAR | 1K words |
| 2026-03-31 | 0001104659-26-037798 | EDGAR | 1K words |
| 2026-02-26 | 0001827090-26-000008 | EDGAR | 7K words |
| 2025-12-11 | 0001104659-25-120096 | EDGAR | 1K words |
| 2025-11-06 | 0001827090-25-000046 | EDGAR | 7K words |
| 2025-10-16 | 0001104659-25-100106 | EDGAR | 132K words |
| 2025-08-06 | 0001827090-25-000034 | EDGAR | 7K words |
| 2025-05-22 | 0001104659-25-052027 | EDGAR | 1K words |
92 total filings indexed. 64 additional filings (S-1, DEF 14A, etc.) View all (JSON) · SEC EDGAR
| CIK | 0001827090 |
| Ticker | CERT |
| Exchange | Nasdaq |
| SIC | 7372: Services-Prepackaged Software |
| Incorporated | DE |
| Website | https://www.certara.com |
| Listed | 2020-12-11 |
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/CERT (~200 tokens, structured JSON with cryptographic provenance)