Valuation: Exscientia plc

Market Cap 500M 670M 586M 540M 949M 63.92B 965M 6.47B 2.54B 31.39B 2.51B 2.46B 109B P/E 2022
-4.55x
P/E 2023 -4.28x
Enterprise Value 156M 209M 182M 168M 296M 19.91B 300M 2.02B 790M 9.78B 783M 766M 33.87B 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 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%-.--%-.--%-22.50% 633M
+1.68%+3.19%+3.55%+10.97% 49.42B
+0.72%+1.00%+396.18%+624.25% 40.34B
+2.54%+0.93%+28.98%-3.62% 34.01B
+0.31%+1.74%+18.44%+59.76% 33.56B
-2.09%-1.98%+3.21%+33.56% 26.84B
-0.63%+0.34% - - 17.22B
+0.66%-3.96%+66.85%+127.36% 15.19B
-23.90%-21.43%+50.06%+53.83% 13.96B
+2.59%-0.49%+15.24%+21.25% 13.36B
Average -1.49%-2.07%+64.72%+100.54% 24.45B
Weighted average by Cap. -0.59%-0.86%+86.96%+138.42%

Financials

2022 2023
Net sales 27.22M 36.47M 31.91M 29.42M 51.67M 3.48B 52.53M 352M 138M 1.71B 137M 134M 5.92B 20.08M 26.9M 23.53M 21.7M 38.11M 2.57B 38.75M 260M 102M 1.26B 101M 98.8M 4.37B
Net income -119M -159M -139M -128M -225M -15.18B -229M -1.54B -602M -7.46B -597M -584M -25.83B -146M -196M -171M -158M -277M -18.67B -282M -1.89B -741M -9.17B -734M -718M -31.75B
Net Debt -492M -659M -577M -532M -934M -62.91B -949M -6.37B -2.5B -30.89B -2.47B -2.42B -107B -344M -461M -403M -372M -653M -44.01B -664M -4.45B -1.75B -21.61B -1.73B -1.69B -74.86B
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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