Logo

AEVAW

Aeva Technologies, Inc.

AEVAW

Aeva Technologies, Inc. • NASDAQ
$0.05 ▲ 0.00% (+0.00)
Market Cap $2.78 M
52w High $0.20
52w Low $0.04
Dividend Yield 0%
P/E 0
Volume 48.47K
Outstanding Shares 55.51M

Income Statement

Period Revenue Operating Expense Net Income Net Profit Margin Earnings Per Share EBITDA
Q3-2025 $3.579M ▼ $33.591M ▲ $107.495M ▲ 3.003K% ▲ $1.857 ▲ $107.561M ▲
Q2-2025 $5.511M ▲ $32.203M ▲ $-192.742M ▼ -3.497K% ▼ $-3.5 ▼ $-190.416M ▼
Q1-2025 $3.368M ▲ $30.728M ▼ $-34.867M ▲ -1.035K% ▲ $-0.64 ▲ $-28.128M ▲
Q4-2024 $2.696M ▲ $33.41M ▼ $-36.146M ▲ -1.341K% ▲ $-0.67 ▲ $-31.972M ▲
Q3-2024 $2.25M $37.155M $-37.396M -1.662K% $-0.7 $-35.644M

Balance Statement

Period Cash & Short-term Total Assets Total Liabilities Total Equity
Q3-2025 $48.888M ▼ $92.795M ▲ $59.577M ▼ $33.218M ▲
Q2-2025 $49.849M ▼ $91.149M ▼ $209.33M ▲ $-118.181M ▼
Q1-2025 $80.996M ▼ $114.549M ▼ $45.737M ▼ $68.812M ▼
Q4-2024 $112.007M ▼ $147.489M ▼ $48.137M ▲ $99.352M ▼
Q3-2024 $134.817M $169.136M $39.876M $129.26M

Cash Flow Statement

Period Net Income Cash From Operations Cash From Investing Cash From Financing Net Change Free Cash Flow
Q3-2025 $107.495M ▲ $-32.312M ▼ $23.747M ▼ $32.51M ▲ $23.945M ▲ $-33.586M ▼
Q2-2025 $-192.742M ▼ $-29.824M ▲ $30.633M ▲ $-277K ▼ $532K ▲ $-31.19M ▲
Q1-2025 $-34.867M ▲ $-30.792M ▼ $23.322M ▲ $-183K ▲ $-7.653M ▼ $-31.251M ▼
Q4-2024 $-36.146M ▲ $-20.898M ▲ $19.61M ▼ $-310K ▼ $-1.598M ▼ $-23.036M ▲
Q3-2024 $-37.396M $-25.888M $32.85M $-122K $6.84M $-26.43M

Five-Year Company Overview

Income Statement

Income Statement Aeva is still essentially a pre‑revenue company: sales are tiny and have not yet ramped in a meaningful way. The business is running at sizable operating losses every year, reflecting heavy spending on engineering, product development, and commercialization, with no material revenue yet to offset those costs. Net losses have been fairly consistent over the past few years rather than clearly shrinking, which suggests the company is still in a build‑out phase rather than entering a mature, profitable stage. Earnings per share are deeply negative, a typical pattern for an early‑stage technology platform that is investing ahead of expected future contracts and production.

Balance Sheet

Balance Sheet The balance sheet shows a company living off a gradually shrinking pool of assets and cash while it develops its technology. Total assets and shareholders’ equity have stepped down over time, indicating that accumulated losses are drawing down the original capital raised. Cash remains meaningful but has trended lower, while debt is minimal, so the financial structure is still mostly equity‑funded with little leverage. The declining equity base highlights the need for Aeva to either move closer to commercial scale or eventually seek additional funding if losses continue at the current pace.

Cash Flow

Cash Flow Cash flow from operations has been consistently negative, reflecting ongoing cash burn to fund research, engineering, and commercialization. Free cash flow is also negative and closely tracks operating cash outflows, because capital spending is relatively modest; the bulk of cash use is people, development, and go‑to‑market efforts rather than large factories or equipment. This pattern is typical for a fab‑light semiconductor and sensor developer but underlines that the business depends on its existing cash reserves and potential future financing until larger contracts convert into recurring revenue and, eventually, operating cash inflows.

Competitive Edge

Competitive Edge Aeva is trying to differentiate itself in a crowded LiDAR and sensing market by focusing on 4D LiDAR based on FMCW technology, which measures not just distance but also velocity for every point in view. This can offer clearer object tracking, better performance in bright environments, and stronger resistance to interference compared with many traditional systems. The company’s “LiDAR‑on‑chip” approach aims to shrink the sensor, cut power needs, and lower cost, which are all critical for high‑volume automotive use. On the commercial side, Aeva has won important partnerships and development deals with large players in trucks, commercial vehicles, and industrial sensing. These relationships validate the technology and could translate into volume orders later this decade. At the same time, Aeva competes with several well‑funded LiDAR and sensor companies pursuing similar automotive and industrial customers, so pricing, reliability, and execution on large programs will be decisive in determining how strong its eventual market share becomes.

Innovation and R&D

Innovation and R&D Innovation is clearly the heart of Aeva’s strategy. The company is pushing FMCW 4D LiDAR as a next‑generation solution, integrating the full sensor onto a silicon photonics chip. This should, in theory, improve performance while making the hardware smaller, cheaper, and more scalable for mass production. Aeva has built a product lineup spanning automotive‑grade sensors for passenger and commercial vehicles, higher‑end units for more advanced autonomy, and specialized sensors for industrial automation. It also develops perception software that takes advantage of its richer data, aiming to provide more complete solutions rather than just hardware. The roadmap includes next‑generation sensors aimed at higher levels of autonomous driving and deeper integration with major OEM programs. The key uncertainty is not the existence of innovation, which is clear, but the pace at which these innovations can be industrialized, qualified by customers, and translated into stable, large‑scale revenue.

Summary

Overall, Aeva looks like a classic deep‑tech, pre‑revenue story: technologically ambitious, strongly focused on R&D, and still far from financial breakeven. The income statement shows persistent, meaningful losses; the balance sheet and cash flows show a company steadily burning cash but with little debt and still some financial flexibility. Competitively, Aeva’s FMCW 4D LiDAR and LiDAR‑on‑chip architecture give it a distinctive angle and have attracted significant partners in automotive and industrial markets, which may open the door to large production programs in the future. The main opportunities lie in successfully scaling those partnerships into high‑volume contracts; the main risks are execution, adoption speed in autonomous and assisted driving markets, and the need to manage cash burn until commercial revenues ramp. This remains a long‑term, high‑uncertainty, innovation‑driven business model rather than a mature, financially stable operation at this stage.