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ARAI

Arrive AI Inc.

ARAI

Arrive AI Inc. NASDAQ
$4.00 4.17% (+0.16)

Market Cap $130.90 M
52w High $40.00
52w Low $3.03
Dividend Yield 0%
P/E -13.33
Volume 25.59K
Outstanding Shares 32.73M

Income Statement

Period Revenue Operating Expense Net Income Net Profit Margin Earnings Per Share EBITDA
Q3-2025 $7.45K $1.658M $-2.237M -30.021K% $-0.07 $-1.643M
Q2-2025 $90.725K $4.63M $-4.69M -5.169K% $-0.15 $-4.486M
Q1-2025 $0 $1.947M $-1.978M 0% $-0.066 $-1.987M
Q4-2024 $0 $1.599M $-1.338M 0% $-0.045 $-1.321M
Q3-2024 $0 $775.387K $-823.751K 0% $-0.028 $-820.67K

Balance Statement

Period Cash & Short-term Total Assets Total Liabilities Total Equity
Q3-2025 $816.715K $9.719M $5.009M $4.71M
Q2-2025 $607.496K $8.481M $5.008M $3.473M
Q1-2025 $295.368K $8.069M $2.036M $6.032M
Q4-2024 $129.318K $987.788K $1.971M $-983.175K
Q3-2024 $291.793K $727.537K $1.493M $-765.57K

Cash Flow Statement

Period Net Income Cash From Operations Cash From Investing Cash From Financing Net Change Free Cash Flow
Q3-2025 $-2.237M $-1.244M $-1.989M $3.442M $209.219K $-1.284M
Q2-2025 $-4.69M $-3.253M $-44.995K $3.61M $312.128K $-3.298M
Q1-2025 $-1.978M $-546.671K $-2.832K $715.553K $166.05K $-549.503K
Q4-2024 $-1.338M $-329.826K $-114.655K $282.006K $-162.475K $-367.981K
Q3-2024 $-823.751K $-605.462K $0 $728.44K $122.978K $-605.462K

Five-Year Company Overview

Income Statement

Income Statement Arrive AI is still in the pre‑revenue stage. The story today is almost entirely about building technology and proof‑of‑concept deployments rather than generating sales. The company is running at a loss, as shown by negative earnings per share, which is typical for very early‑stage tech businesses investing heavily ahead of revenue. Because there is effectively no reported revenue yet, it’s too early to judge margins, profitability trends, or the quality of earnings. The main takeaway: the income statement reflects a company in build‑out mode, not yet in commercial scale‑up. One caution: the detailed income statement data provided is extremely limited and looks more like placeholders than full financials, so any interpretation should be treated as high‑uncertainty and supplemented with actual filings when available.


Balance Sheet

Balance Sheet The balance sheet data in the snapshot is essentially blank, so we can’t reliably assess current cash levels, asset base, or leverage. Conceptually, Arrive AI appears to be an asset‑light, IP‑heavy business that will depend on external funding to finance growth. The mention of a sizeable capital facility suggests the company is using structured financing rather than large amounts of traditional bank debt so far. Without real balance sheet detail, the key issues to watch are: how much cash they hold versus their burn rate, how quickly they draw on their capital facility, whether they add new debt, and how much equity they issue (and at what terms) as they scale. Until audited balance sheet figures are available, any view of financial strength or weakness is necessarily tentative.


Cash Flow

Cash Flow There is no meaningful cash flow data in the snapshot, but the narrative clearly points to a cash‑burning, early‑stage model. Operating cash outflows are likely driven by engineering, pilots, business development, and building the manufacturing and deployment capability for their smart mailboxes. Cash inflows appear to be almost entirely financing‑driven at this stage, not customer‑driven. That means the company’s flexibility is heavily tied to its ability to continue raising capital and managing its burn rate. The key questions are: how quickly they can move from pilot projects to recurring subscription revenue, how capital‑intensive installations prove to be, and whether the path from negative to positive cash flow is realistic under current funding. Until more detailed statements are available, cash flow risk should be assumed to be high and closely linked to execution milestones.


Competitive Edge

Competitive Edge Arrive AI is trying to own a specific, under‑served slice of the logistics chain: the “last inch” at the doorstep, rather than the drone or robot that moves packages. This gives it a differentiated angle versus better‑known logistics and delivery players. Its smart mailbox concept is designed to work with drones, robots, and human couriers, positioning the company as an infrastructure partner to many potential delivery networks instead of a direct rival. Its main competitive strengths appear to be: a broad and early patent portfolio around smart mailboxes and autonomous last‑mile infrastructure; a first‑mover position in an emerging niche; and the potential for a network effect if many homes, buildings, and hospitals adopt the platform. On the risk side, the market is still unproven, larger players could enter once the opportunity is clearer, and the business is heavily exposed to regulatory decisions on drones and autonomous delivery. Overall, the competitive story is promising but highly dependent on successful execution, standard‑setting, and partnership building before others catch up.


Innovation and R&D

Innovation and R&D Innovation is the core of the Arrive AI thesis. The Arrive Point smart mailbox combines secure package handling, climate control, sensors, and AI‑enabled software to serve as a universal delivery node. The platform is designed to be flexible—able to work with drones, ground robots, and human drivers—and to generate data that can improve routing, timing, and logistics performance over time. The company is also innovating in its business model with a subscription‑based “Mailbox‑as‑a‑Service” approach and has developed variations tailored to different settings: single homes, multi‑unit buildings, commercial sites, and high‑volume environments like hospitals and warehouses. Early partnerships in healthcare and international pilots (for example, in India and the Caribbean) suggest an R&D strategy tightly linked to real‑world use cases. The main uncertainty is whether this rapid innovation will translate into scalable, cost‑effective products that customers adopt widely, and whether the company can keep its technology edge as the broader autonomous delivery ecosystem matures.


Summary

Arrive AI is a very early‑stage technology company built around a bold vision: becoming the standard infrastructure layer for autonomous and secure doorstep delivery. The financial picture today is typical of a pre‑revenue tech venture: losses, dependence on external funding, and limited visibility into near‑term profitability. The absence of detailed, consistent financial data in the snapshot means any analysis should be treated as preliminary and verified against formal filings. Strategically, the company has several attractive elements: a focused niche (smart mailboxes and last‑inch infrastructure), a sizable patent portfolio, an interoperability strategy that aims to partner with multiple delivery networks, and early traction in specialized areas like healthcare delivery. At the same time, the business faces meaningful risks: uncertain regulatory timelines, unproven large‑scale demand, execution and manufacturing challenges, and the possibility of larger logistics or tech players entering once the market becomes more established. Overall, Arrive AI looks like a high‑risk, high‑uncertainty, innovation‑driven story where the key things to monitor are: real commercial deployments versus pilots, recurring subscription adoption, evidence of cost‑effective scaling of hardware, regulatory developments around autonomous delivery, and the company’s ability to sustain funding until its model becomes self‑supporting.