Rigetti Computing
- hard tech
- analytics
- core ai
- testing
- ai applications
- verified unicorns and $1b exits
- drones
- semiconductor designers and manufacturers
- chips and processors
- spac ipo announced
- spac target
- chips
- photonics tech
- from $1b exit to zebra
- quantum computing
- quantum computers and processors
- yc s14
- quantum photonic chips and processors
Financials
Estimates*
USD | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
---|---|---|---|---|---|---|---|
Revenues | <1m | 5.5m | 13.1m | 12.0m | 16.1m | 30.9m | 75.5m |
% growth | - | 654 % | 136 % | (8 %) | 34 % | 92 % | 145 % |
EBITDA | (43.4m) | (39.7m) | (94.3m) | (58.8m) | (44.5m) | (39.6m) | (27.6m) |
% EBITDA margin | (5898 %) | (716 %) | (719 %) | (490 %) | (277 %) | (128 %) | (37 %) |
Profit | (53.8m) | (26.1m) | (71.5m) | (75.1m) | (66.7m) | (65.5m) | (59.8m) |
% profit margin | (7317 %) | (471 %) | (546 %) | (625 %) | (414 %) | (212 %) | (79 %) |
EV / revenue | - | 80.1x | 4.6x | 12.0x | 10.9x | 5.7x | 2.3x |
EV / EBITDA | - | -11.2x | -0.6x | -2.5x | -3.9x | -4.4x | -6.3x |
R&D budget | 29.4m | 24.1m | 60.0m | 52.8m | - | - | - |
R&D % of revenue | 4004 % | 435 % | 458 % | 439 % | - | - | - |
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
$2.5m | Seed | ||
$500k | Convertible | ||
$2.5m | Seed | ||
$2.2m | Seed | ||
$250k | Convertible | ||
$24.0m | Series A | ||
$40.0m | Series B | ||
N/A | $50.0m | Series C | |
N/A | N/A | Late VC | |
* | $71.0m | Late VC | |
$79.0m | Series C | ||
N/A Valuation: $1.5b 2039.5x EV/LTM Revenues -34.6x EV/LTM EBITDA | SPAC Private Placement | ||
$345m Valuation: $1.5b 2039.5x EV/LTM Revenues -34.6x EV/LTM EBITDA | SPAC IPO | ||
* | $45.0m Valuation: $1.5b 2039.5x EV/LTM Revenues -34.6x EV/LTM EBITDA | SPAC Private Placement | |
* | £500k | Grant | |
* | N/A | N/A | Grant |
* | $12.8m | Post IPO Equity | |
Total Funding | $318m |
Related Content
Recent News about Rigetti Computing
EditRigetti Computing is a pioneering company in the field of quantum computing, a cutting-edge technology that leverages the principles of quantum mechanics to perform complex calculations at unprecedented speeds. The company specializes in developing quantum processors, known as quantum processing units (QPUs), which are the core components of quantum computers. These QPUs use superconducting qubits, which are tiny units of quantum information that can exist in multiple states simultaneously, enabling the processing of vast amounts of data more efficiently than classical computers.
Rigetti serves a diverse range of clients, including academic researchers, government agencies, and businesses across various industries such as finance, pharmaceuticals, and logistics. These clients are typically looking to solve complex problems that are beyond the capabilities of traditional computing, such as optimizing large-scale operations, discovering new drugs, or developing advanced machine learning models.
Operating in the rapidly growing quantum computing market, Rigetti's business model revolves around providing access to its quantum computing resources through a cloud-based platform. This platform allows users to run quantum algorithms and simulations remotely, without the need to invest in expensive hardware. The company generates revenue by offering subscription-based access to its quantum computing services, as well as through partnerships and collaborations with other organizations.
Rigetti's innovative approach combines quantum computing with artificial intelligence (AI) and machine learning to enhance the capabilities of its systems. For example, the company has developed hybrid quantum-classical machine learning models that can improve the accuracy of weather predictions and other generative tasks. By continuously advancing its technology and expanding its applications, Rigetti aims to make quantum computing accessible and practical for solving some of the world's most pressing challenges.
Keywords: Quantum Computing, Superconducting Qubits, QPU, Cloud Platform, AI Integration, Machine Learning, Complex Problem Solving, Subscription Model, Advanced Algorithms, Hybrid Systems.