Valuation: Exscientia plc

Market Cap 50Cr 66Cr 59Cr 55Cr 94Cr 6.39TCr 95Cr 660.76Cr 258.08Cr 3.25TCr 247.71Cr 242.57Cr 10TCr P/E 2022
-4.55x
P/E 2023 -4.28x
Enterprise Value 16Cr 21Cr 18Cr 17Cr 29Cr 1.99TCr 30Cr 205.84Cr 80Cr 1.01TCr 77Cr 76Cr 3.25TCr 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
25.16
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%-.--%-.--%+4.09% 63Cr
+4.16%+4.16%+49.37%+94.17% 7.47TCr
+0.46%-1.16%+23.36%+79.34% 5.88TCr
+0.17%-1.16%+3.59%+34.55% 4.84TCr
+0.50%-1.77%+331.24%+702.20% 4.28TCr
-0.72%-4.04%+25.90%+29.94% 4.28TCr
+0.34%-0.34%+5.66%+109.35% 4.12TCr
-0.11%+1.96%+9.19%+52.66% 3.11TCr
-2.07%+1.16%+35.00%+26.28% 3.03TCr
-0.50%-3.37%-9.42%-14.35% 2.4TCr
Average +0.54%-0.23%+47.39%+111.82% 3.95TCr
Weighted average by Cap. +0.70%-0.54%+55.42%+130.00%

Financials

2022 2023
Net sales 2.72Cr 3.6Cr 3.21Cr 3Cr 5.12Cr 347.96Cr 5.17Cr 36Cr 14Cr 176.94Cr 13Cr 13Cr 568.24Cr 2.01Cr 2.65Cr 2.37Cr 2.21Cr 3.78Cr 256.64Cr 3.81Cr 27Cr 10Cr 130.51Cr 9.95Cr 9.74Cr 419.12Cr
Net income -12Cr -16Cr -14Cr -13Cr -22Cr -1.52TCr -23Cr -156.95Cr -61Cr -771.7Cr -59Cr -58Cr -2.48TCr -15Cr -19Cr -17Cr -16Cr -27Cr -1.87TCr -28Cr -192.96Cr -75Cr -948.72Cr -72Cr -71Cr -3.05TCr
Net Debt -49Cr -65Cr -58Cr -54Cr -93Cr -6.29TCr -93Cr -650.29Cr -253.99Cr -3.2TCr -243.78Cr -238.72Cr -10TCr -34Cr -45Cr -41Cr -38Cr -65Cr -4.4TCr -65Cr -454.92Cr -177.68Cr -2.24TCr -170.54Cr -167Cr -7.18TCr
Projected Income Statement - Annual - Exscientia plc
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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