Quantexa
Financials
Estimates*
EUR | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|
Revenues | 1.5m | 6.0m | 12.3m | 21.1m | 36.4m | 44.6m |
% growth | - | 301 % | 104 % | 71 % | 73 % | 23 % |
EBITDA | <1m | (8.2m) | (15.3m) | (16.2m) | (10.9m) | (31.6m) |
% EBITDA margin | 36 % | (136 %) | (124 %) | (77 %) | (30 %) | (71 %) |
Profit | <1m | (1.3m) | (7.0m) | (16.5m) | (11.5m) | (31.6m) |
% profit margin | 46 % | (21 %) | (57 %) | (78 %) | (32 %) | (71 %) |
R&D budget | - | 5.0m | 10.0m | - | - | - |
R&D % of revenue | - | 83 % | 81 % | - | - | - |
Source: Dealroom estimates
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
* | $3.3m | Series A | |
* | $20.0m | Series B | |
* | N/A | Early VC | |
N/A | Support Program | ||
$64.7m Valuation: $337m 24.9x EV/LTM Revenues -20.1x EV/LTM EBITDA | Series C | ||
$153m Valuation: $850m 36.7x EV/LTM Revenues -47.6x EV/LTM EBITDA | Series D | ||
N/A Valuation: $850m 36.7x EV/LTM Revenues -47.6x EV/LTM EBITDA | Series D | ||
* | $129m Valuation: $1.8b 36.7x EV/LTM Revenues -51.8x EV/LTM EBITDA | Series E | |
Total Funding | €336m |
Recent News about Quantexa
EditQuantexa is a leading provider of decision intelligence solutions, leveraging artificial intelligence (AI) to help organizations make informed decisions by providing a comprehensive view of their data. The company primarily serves financial institutions, government agencies, and large enterprises, operating in the global market. Quantexa's business model revolves around offering a robust platform that integrates and analyzes vast amounts of data to uncover hidden risks, detect fraud, and ensure regulatory compliance. The company generates revenue through subscription fees for its platform and additional services such as consulting and support. By building a trusted data foundation, Quantexa enables its clients to automate decision-making processes, enhance operational efficiency, and drive revenue growth.
Keywords: decision intelligence, AI, data analytics, risk detection, compliance, financial institutions, government agencies, fraud detection, data integration, operational efficiency.