
Aerospacelab
Develops a constellation of micro-satellites for earth observation and imagery, as well as data analytics for businesses and military intelligence alike.
EUR | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | - | - | 160 % | 32 % | 240 % | 63 % |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% EBITDA margin | - | - | (44 %) | (28 %) | (42 %) | (26 %) | - |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% profit margin | - | - | (58 %) | (38 %) | (53 %) | (31 %) | - |
EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article, Dealroom estimates
Related Content
Aerospacelab operates in the geospatial intelligence sector, providing actionable insights through high-resolution satellite data enhanced by artificial intelligence and machine learning. The company serves intelligence analysts and decision-makers across various industries, including finance, trade, and environmental sectors. By offering near real-time signals, Aerospacelab enables clients to enhance their strategic, economic, and environmental assessments. The business model revolves around delivering end-to-end space solutions, including satellite platforms and components, optimized for cost efficiency. Revenue is generated through the provision of these geospatial intelligence services, which empower clients to make informed decisions based on comprehensive data analysis. Aerospacelab's offerings are particularly valuable for investment and portfolio management strategies, as well as for understanding global flows of goods and people. The company addresses the challenge of delayed, incomplete, or biased information by providing a clearer picture through advanced data processing techniques.
Keywords: geospatial intelligence, satellite data, AI, machine learning, decision-making, finance, trade, environmental, assessments, insights
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Investments by Aerospacelab
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