Valuation: Exscientia plc

Market Cap 50Cr 67Cr 59Cr 54Cr 95Cr 6.4TCr 96Cr 646.62Cr 253.93Cr 3.15TCr 251.86Cr 246.38Cr 11TCr P/E 2022
-4.55x
P/E 2023 -4.28x
Enterprise Value 16Cr 21Cr 18Cr 17Cr 30Cr 1.99TCr 30Cr 201.44Cr 79Cr 981.8Cr 78Cr 77Cr 3.38TCr 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
9.12
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 - 01/05/2022
Chief Tech/Sci/R&D Officer 61 06/06/2024
Chief Tech/Sci/R&D Officer - 01/05/2024
Director TitleAgeSince
Director/Board Member 63 28/09/2017
Chairman 61 12/02/2024
Director/Board Member 43 01/05/2020
Change 5-day change 1-year change 3-year change Capi.($)
+3.20%-.--%-.--%-25.77% 63Cr
+0.58%+2.06%+3.90%+10.40% 5.07TCr
-2.22%-1.25%+391.53%+591.38% 3.97TCr
-0.54%+0.39%+27.67%-3.89% 3.47TCr
-1.36%+0.35%+19.34%+58.83% 3.32TCr
+1.21%-4.58%+3.00%+37.03% 2.68TCr
-1.81%-1.48% - - 1.68TCr
+0.51%-3.47%+66.38%+125.61% 1.54TCr
+0.23%-0.58%+13.80%+19.56% 1.38TCr
-0.62%-3.09%+11.43%-29.93% 1.28TCr
Average -0.08%-0.75%+59.67%+87.02% 2.45TCr
Weighted average by Cap. -0.47%-0.23%+82.52%+125.72%

Financials

2022 2023
Net sales 2.72Cr 3.65Cr 3.2Cr 2.95Cr 5.17Cr 348.43Cr 5.25Cr 35Cr 14Cr 171.65Cr 14Cr 13Cr 590.09Cr 2.01Cr 2.69Cr 2.36Cr 2.17Cr 3.81Cr 256.99Cr 3.87Cr 26Cr 10Cr 126.6Cr 10Cr 9.9Cr 435.24Cr
Net income -12Cr -16Cr -14Cr -13Cr -23Cr -1.52TCr -23Cr -153.59Cr -60Cr -748.61Cr -60Cr -59Cr -2.57TCr -15Cr -20Cr -17Cr -16Cr -28Cr -1.87TCr -28Cr -188.83Cr -74Cr -920.34Cr -74Cr -72Cr -3.16TCr
Net Debt -49Cr -66Cr -58Cr -53Cr -93Cr -6.3TCr -95Cr -636.37Cr -249.91Cr -3.1TCr -247.87Cr -242.47Cr -11TCr -34Cr -46Cr -40Cr -37Cr -65Cr -4.4TCr -66Cr -445.18Cr -174.82Cr -2.17TCr -173.4Cr -169.62Cr -7.46TCr
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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