Valuation: Exscientia plc

Market Cap 500M 663M 585M 554M 943M 63.53B 954M 6.63B 2.55B 32.51B 2.49B 2.43B 104B P/E 2022
-4.55x
P/E 2023 -4.28x
Enterprise Value 156M 207M 182M 173M 294M 19.79B 297M 2.07B 795M 10.13B 775M 758M 32.51B EV / Sales 2022
1.9x
EV / Sales 2023 14.2x
Free-Float
36.87%
Yield 2022 *
-
Yield 2023 -
3 years 3.8
Extreme 3.8
7.91
5 years 3.8
Extreme 3.8
30.38
10 years 3.8
Extreme 3.8
30.38
Manager TitleAgeSince
Chief Tech/Sci/R&D Officer 61 2024-06-05
Chief Tech/Sci/R&D Officer - 2022-04-30
Chief Tech/Sci/R&D Officer - 2024-04-30
Director TitleAgeSince
Director/Board Member 63 2017-09-27
Director/Board Member 43 2020-04-30
Chairman 61 2024-02-11
Change 5-day change 1-year change 3-year change Capi.($)
+3.20%-.--%-.--%+7.08% 633M
+4.16%-0.30%+58.96%+94.17% 71.53B
-0.19%-1.01%+38.55%+83.85% 60.12B
-1.51%+2.20%+10.66%+35.15% 48.85B
-0.05%-0.46%+48.77%+36.65% 44.28B
+0.38%+6.43%+345.54%+641.55% 43.83B
+0.18%-0.58%+9.95%+103.45% 41.53B
-0.67%-0.45%+4.47%+46.37% 30.13B
+4.77%+6.46%+41.54%+22.78% 27.98B
-1.29%-5.53%-19.42%+352.04% 25.25B
Average +0.90%+0.43%+53.90%+142.31% 39.41B
Weighted average by Cap. +0.80%+0.63%+64.90%+148.32%

Financials

2022 2023
Net sales 27.22M 36.11M 31.85M 30.17M 51.38M 3.46B 51.98M 361M 139M 1.77B 135M 133M 5.68B 20.08M 26.63M 23.49M 22.25M 37.9M 2.55B 38.34M 266M 102M 1.31B 99.9M 97.8M 4.19B
Net income -119M -157M -139M -132M -224M -15.09B -227M -1.58B -606M -7.72B -591M -578M -24.79B -146M -194M -171M -162M -276M -18.55B -279M -1.94B -745M -9.49B -726M -711M -30.47B
Net Debt -492M -652M -576M -545M -929M -62.52B -939M -6.53B -2.51B -31.99B -2.45B -2.4B -103B -344M -456M -403M -381M -650M -43.74B -657M -4.57B -1.76B -22.38B -1.71B -1.68B -71.85B
Logo Exscientia plc
Exscientia PLC is a drug design and development company. The Company combines precision design with integrated experimentation to invent and develop drugs. It uses artificial intelligence (AI) in drug discovery to progress AI-designed small molecules into a clinical setting. It uses the patient's tissue data to define optimal profiles for research, improve experimental assessment during design and improve outcomes in a medical setting. It has developed an internal pipeline focused on oncology, while its partnered pipeline extends to various other therapeutic areas. It combines genetic data and global literature in machine learning models to anticipate and confirm disease-target associations. The Company's experimental platform records responses in real patient samples allowing it to generate high-precision views of potential patient response. Its product pipeline consists of GTAEXS617, EXS4318, EXS74539, and EXS73565.
Employees
483
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