Valuation: Exscientia plc

Market Cap 50Cr 67Cr 58Cr 54Cr 94Cr 6.4TCr 95Cr 638.62Cr 250.65Cr 3.2TCr 252.81Cr 247.24Cr 11TCr P/E 2022
-4.55x
P/E 2023 -4.28x
Enterprise Value 16Cr 21Cr 18Cr 17Cr 29Cr 1.99TCr 30Cr 198.95Cr 78Cr 997.66Cr 79Cr 77Cr 3.3TCr 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
8.37
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 06/06/2024
Chief Tech/Sci/R&D Officer - 01/05/2022
Chief Tech/Sci/R&D Officer - 01/05/2024
Director TitleAgeSince
Director/Board Member 63 28/09/2017
Director/Board Member 43 01/05/2020
Chairman 61 12/02/2024
Change 5-day change 1-year change 3-year change Capi.($)
+3.20%-.--%-.--%-41.33% 63Cr
+0.90%-2.33%+0.68%+13.87% 4.86TCr
+1.98%+9.05%+413.94%+532.17% 4.19TCr
+3.44%-4.65%+28.34%+8.81% 3.89TCr
+1.40%+0.10%+6.61%+61.93% 3.72TCr
+2.42%+5.72%+12.38%+44.79% 3.07TCr
-0.16%-3.11% - - 1.61TCr
+2.20%+0.48%+34.71%+127.15% 1.64TCr
+1.25%+1.52%+4.62%+18.26% 1.4TCr
+4.25%-8.23%-1.49%-35.46% 1.26TCr
Average +2.09%-0.70%+55.53%+81.13% 2.57TCr
Weighted average by Cap. +1.92%-0.12%+81.94%+119.91%

Financials

2022 2023
Net sales 2.72Cr 3.67Cr 3.18Cr 2.96Cr 5.14Cr 348.6Cr 5.2Cr 35Cr 14Cr 174.42Cr 14Cr 13Cr 577.67Cr 2.01Cr 2.7Cr 2.34Cr 2.18Cr 3.79Cr 257.12Cr 3.83Cr 26Cr 10Cr 128.65Cr 10Cr 9.93Cr 426.07Cr
Net income -12Cr -16Cr -14Cr -13Cr -22Cr -1.52TCr -23Cr -151.69Cr -60Cr -760.7Cr -60Cr -59Cr -2.52TCr -15Cr -20Cr -17Cr -16Cr -28Cr -1.87TCr -28Cr -186.49Cr -73Cr -935.2Cr -74Cr -72Cr -3.1TCr
Net Debt -49Cr -66Cr -57Cr -53Cr -93Cr -6.3TCr -94Cr -628.5Cr -246.68Cr -3.15TCr -248.81Cr -243.32Cr -10TCr -34Cr -46Cr -40Cr -37Cr -65Cr -4.41TCr -66Cr -439.68Cr -172.57Cr -2.2TCr -174.06Cr -170.22Cr -7.3TCr
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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