Seeing Machines (SEE.L) Stock Price

Seeing Machines Price

Delisted·Jun 19, 2026
0.06USD+0.0019 (+3.12 %)
Last traded price

Revenue has compounded at 17.1% per year over the past 19 years to 62.34 M USD. Seeing Machines's net margin stands at -40.5%, down from -36.9% several years earlier. Analysts set a median price target of 9.27 USD, implying 14,538.7% above the current price. Of 10 analysts, 9 rate the stock a buy — an overall Buy consensus. The stock trades about 93% above its 52-week low.

Seeing Machines stock price

Volume
Details

Stock Price

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How to Read This Chart

This chart tracks the historical stock price of Seeing Machines over time. You can switch between daily, weekly, and monthly views and select custom time ranges — from a single day to the full available history. Use the toggle to view price changes in absolute currency terms or as a percentage change relative to the starting date.

Total Return vs. Price Return

The "Total Return" toggle includes reinvested dividends on top of the pure price movement. This is critical because dividends can account for a significant portion of long-term returns. Historically, roughly 40 % of the S&P 500's total return has come from dividends. Always compare total return when evaluating a stock's real performance against a benchmark.

Intraday Price Data

When viewing a one-day time frame, the chart displays real-time intraday price movements. This is useful for observing how Seeing Machines stock reacts to market openings, earnings releases, or breaking news throughout the trading session.

What to Look For

Look for long-term trends (sustained upward or downward movements over months and years), support and resistance levels (price zones where the stock repeatedly bounces or reverses), and volatility (how much the price fluctuates day to day). Comparing Seeing Machines's price chart to a market index like the S&P 500 can reveal whether the stock is outperforming or underperforming the broader market.

Seeing Machines Stock Price History
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Seeing Machines Revenue, EBIT, Net Income

  • 3 Years

  • 5 Years

  • 10 Years

  • 25 Years

  • Max

Revenue
EBIT
Net Income
Details
Date
Revenue
EBIT
Net Income
Jan 1, 2021
30.99 M USD
-11.68 M USD
-11.45 M USD
Jan 1, 2022
39.00 M USD
-19.52 M USD
-18.57 M USD
Jan 1, 2023
57.77 M USD
-14.62 M USD
-15.55 M USD
Jan 1, 2024
67.63 M USD
-26.93 M USD
-31.28 M USD
Jan 1, 2025
62.34 M USD
-18.77 M USD
-25.27 M USD
Jan 1, 2026 (e)
90.52 M USD
-33.38 M USD
-6.79 M USD
Jan 1, 2027 (e)
103.94 M USD
-38.32 M USD
5.45 M USD
Jan 1, 2028 (e)
125.54 M USD
-46.29 M USD
19.30 M USD

Seeing Machines Income Statement, Balance Sheet, Cash Flow Statement

Last updated Aug 3, 2026, 2:31 PM
 
REVENUEM USD
REVENUE GROWTH%
GROSS MARGIN%
GROSS INCOMEM USD
EBITM USD
EBIT MARGIN%
NET INCOMEM USD
NET INCOME GROWTH%
SHARESB
20132014201520162017201820192020202120222023202420252026e2027e2028e
11.0016.0012.0033.0014.0030.0031.0025.0030.0039.0057.0067.0062.0090.00103.00125.00
57.1445.45-25.00175.00-57.58114.293.33-19.3520.0030.0046.1517.54-7.4645.1614.4421.36
63.6462.5041.6781.82278.5723.3358.0636.0043.3343.5949.1246.2762.9062.9062.9062.90
7.0010.005.0027.0039.007.0018.009.0013.0017.0028.0031.0039.0056.6164.7978.63
–-2.00-15.002.00-27.00-38.00-42.00-30.00-11.00-19.00-14.00-26.00-18.00-33.00-38.00-46.00
–-12.50-125.006.06-192.86-126.67-135.48-120.00-36.67-48.72-24.56-38.81-29.03-36.67-36.89-36.80
–-2.00-11.00-1.00-29.00-36.00-42.00-29.00-11.00-18.00-15.00-31.00-25.00-6.005.0019.00
––450.00-90.912,800.0024.1416.67-30.95-62.0763.64-16.67106.67-19.35-76.00-183.33280.00
0.460.660.870.981.261.632.483.373.634.044.164.164.564.564.564.56
Details

Income Statement Key Figures

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Revenue and Revenue Growth

Revenue is the starting point of every income statement — it measures the total sales Seeing Machines generates from its core business. Revenue growth (expressed as year-over-year percentage change) is one of the most important indicators of business momentum. Sustained growth above 10 % annually is generally considered strong, while declining revenue is a serious warning sign that demands investigation.

Gross Margin

Gross margin = (Revenue − Cost of Goods Sold) ÷ Revenue. It reveals what percentage of each dollar of revenue Seeing Machines retains after direct production costs. High gross margins (above 50 %) are typical of asset-light businesses like software and brands, while capital-intensive industries like manufacturing often operate below 30 %. Compare Seeing Machines's gross margin to industry peers and track it over time to spot improving or deteriorating pricing power.

EBIT and EBIT Margin

EBIT measures operating profit — what remains after subtracting all operating expenses (including R&D, sales, and administrative costs) from gross profit. The EBIT margin shows this as a percentage of revenue. Because it excludes interest and taxes, EBIT allows fair comparisons between companies with different debt levels and tax jurisdictions. A rising EBIT margin indicates improving operational efficiency.

Net Income and Earnings Per Share (EPS)

Net income is the company's final profit after all expenses, interest, and taxes. Dividing net income by the number of shares outstanding gives you EPS — the single most influential metric in stock valuation. Consistent EPS growth is the primary driver of long-term stock price appreciation. Always check whether EPS growth comes from genuine profit improvement or from share buybacks reducing the share count.

Shares Outstanding

The total number of shares Seeing Machines has issued. A declining share count (through buybacks) boosts EPS and signals management confidence. A rising share count (through stock issuance) dilutes existing shareholders. Always monitor this number alongside EPS to get the full picture of per-share value creation.

Analyst Estimates

The projected figures represent consensus estimates from professional analysts. Compare these forecasts against Seeing Machines's historical growth rates to assess whether expectations are realistic. A company that consistently beats consensus estimates tends to see its stock price rewarded over time, while repeated misses erode investor confidence.

Seeing Machines stock margins

The Seeing Machines margin analysis displays the gross margin, EBIT margin, as well as the profit margin of Seeing Machines. The EBIT margin (EBIT/sales) indicates the percentage of sales that remains as operating profit. The profit margin shows the percentage of sales that remains for Seeing Machines.

  • 3 Years

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  • Max

Gross margin
EBIT margin
Profit margin
Details
Date
Gross margin
EBIT margin
Profit margin
Jan 1, 2021
44.02 %
-37.69 %
-36.93 %
Jan 1, 2022
44.89 %
-50.05 %
-47.61 %
Jan 1, 2023
50.02 %
-25.30 %
-26.91 %
Jan 1, 2024
46.62 %
-39.82 %
-46.25 %
Jan 1, 2025
62.89 %
-30.10 %
-40.53 %
Jan 1, 2026 (e)
62.89 %
-36.87 %
-7.50 %
Jan 1, 2027 (e)
62.89 %
-36.87 %
5.24 %
Jan 1, 2028 (e)
62.89 %
-36.87 %
15.38 %

Seeing Machines Stock Revenue, EBIT, Earnings per Share

The Seeing Machines earnings per share therefore indicates how much revenue Seeing Machines has generated per share in a given period. The earnings before interest and taxes per share shows how much of the operating profit corresponds to each share. The earnings per share indicates how much of the profit belongs to each share.

  • 3 Years

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  • Max

Revenue per Share
EBIT per share
Earnings per Share
Details
Date
Revenue per Share
EBIT per share
Earnings per Share
Jan 1, 2021
0.01 USD
-0.00 USD
-0.00 USD
Jan 1, 2022
0.01 USD
-0.00 USD
-0.00 USD
Jan 1, 2023
0.01 USD
-0.00 USD
-0.00 USD
Jan 1, 2024
0.02 USD
-0.01 USD
-0.01 USD
Jan 1, 2025
0.01 USD
-0.00 USD
-0.01 USD
Jan 1, 2026 (e)
0.02 USD
-0.01 USD
-0.00 USD
Jan 1, 2027 (e)
0.02 USD
-0.01 USD
0.00 USD
Jan 1, 2028 (e)
0.03 USD
-0.01 USD
0.00 USD

Seeing Machines business model & stock analysis

Seeing Machines Ltd is a technology company based in Australia, specializing in the development of machine vision and human-machine interfaces. The company's vision is to make future transportation by driving and flying safer and more efficient while helping people with special needs and limitations in mobility. Seeing Machines was founded in 2000 by agricultural scientist Dr. Ken Kroeger and Dr. Tim Edwards, a specialist in digital signal processing. Originally, the goal was to use the technology for fatigue monitoring in agriculture. Over time, however, the company expanded into other areas of application. Seeing Machines' business model involves licensing its patented machine vision and human-machine interface technology to manufacturers of vehicles, airplanes, trains, ships, and industrial equipment. Over the years, the company has formed numerous partnerships with leading manufacturers such as Caterpillar, Boeing, GM, and Emirates Airline. Seeing Machines works closely with its customers to develop tailored solutions for their specific requirements. The products of Seeing Machines are divided into three divisions: Automotive, Aviation, and Off-Road. The Automotive division offers technology for driver monitoring and in-cabin monitoring of vehicles. The technology detects fatigue, distraction, inattentiveness, and other factors that may impair driving. This enables early warnings to be sent to the driver or automatic vehicle stop in case of emergencies. The Aviation division provides similar technology for airplanes, monitoring the pilot's condition to ensure they remain awake and alert during flights. The Off-Road division offers technology for automation of vehicles and machinery in the industry, mining, and agriculture. One example of a Seeing Machines product is the Guardian Dashboard Camera Monitor. This system is installed in vehicles and equipped with Seeing Machines' facial recognition technology. The system continuously monitors the driver's condition to prevent accidents caused by fatigue or inattentiveness. It can also send warnings if the vehicle deviates from the lane or if other hazards arise. Another example is the Crew-Watch system for airplanes, which monitors the pilot's eye movements and head position to ensure they remain awake and attentive. If the pilot falls asleep or becomes distracted, the system automatically triggers a warning signal. Overall, Seeing Machines Ltd has established a strong presence in the market for machine vision and human-machine interfaces in recent years. The company has developed a wide range of customizable products and services for various applications. Seeing Machines' technology will contribute to improving the safety, efficiency, and sustainability of transportation in the future while creating better accessibility for people with disabilities.

Seeing Machines SWOT Analysis

Strengths

Seeing Machines Ltd has developed cutting-edge eye-tracking technology, which provides superior accuracy and responsiveness compared to competitors.

The company holds several patents related to its unique technology, establishing a strong barrier to entry for potential competitors.

Seeing Machines Ltd has a strong track record of successful partnerships and collaborations with major automotive and aviation companies, enhancing its credibility and market presence.

Weaknesses

The high costs associated with developing and manufacturing eye-tracking technology pose a challenge to the company's profitability in the short term.

Seeing Machines Ltd heavily relies on its key partnerships, which may become a weakness if any of these partners decide to terminate or reduce their collaboration.

The company operates in a highly competitive market, where competitors constantly strive to develop similar or superior technologies, potentially diminishing Seeing Machines Ltd's market share.

Opportunities

The increasing demand for advanced driver assistance systems (ADAS) presents a significant opportunity for Seeing Machines Ltd to expand its market reach and increase revenue.

The growing awareness of driver fatigue and distraction-related accidents creates a favorable market environment for the adoption of eye-tracking technology, which can further benefit the company.

The ability to apply the eye-tracking technology in various industries beyond automotive and aviation, such as gaming, healthcare, and retail, opens up new revenue streams for Seeing Machines Ltd.

Threats

Rapid technological advancements in the automotive and aviation industries may render Seeing Machines Ltd's current technology obsolete, requiring significant investments in research and development to stay competitive.

Economic downturns or financial crises could lead to reduced consumer spending and budget cuts in the industries Seeing Machines Ltd operates in, impacting the demand for its products and services.

Increased regulatory scrutiny and stricter industry standards regarding driver safety and distraction may pose compliance challenges for Seeing Machines Ltd and its eye-tracking technology.

Seeing Machines Eulerpool Fair Value

Details

Fair Value Estimate

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What Is Fair Value?

Fair value is an estimate of what a stock is truly "worth" based on its financial fundamentals, independent of the current market price. If the calculated fair value is above the current share price, the stock may be undervalued — and vice versa. This chart shows three different fair value approaches so you can cross-check them against each other.

Earnings-Based Fair Value

Calculated by multiplying the current earnings per share (EPS) by the average historical P/E ratio over a selected multi-year period. The smoothing over several years filters out temporary spikes or dips. If this fair value exceeds the market price, it suggests the stock is cheap relative to its earning power.

Example: Fair Value (Earnings) 2022 = EPS 2022 × Average P/E 2019–2021

Revenue-Based Fair Value

Derived by multiplying revenue per share by the average historical price-to-sales ratio. This method is particularly useful for companies with volatile or temporarily depressed earnings, as revenue tends to be more stable than profits. It answers: "At what price has the market historically valued each dollar of this company's sales?"

Example: Fair Value (Revenue) 2022 = Revenue per Share 2022 × Average P/S 2019–2021

Dividend-Based Fair Value

Calculated by dividing the dividend per share by the average historical dividend yield. This approach is most relevant for mature, consistently dividend-paying companies. If the resulting fair value is higher than the current price, it implies the stock offers a better yield than its historical average.

Example: Fair Value (Dividend) 2022 = Dividend per Share 2022 ÷ Average Yield 2019–2021

How to Use This Chart

When all three fair value lines converge above the current price, it strengthens the case that the stock is undervalued. When they diverge, investigate why — it may indicate a structural shift in margins, payout policy, or growth rate. The forward estimates on the right extend the analysis using projected fundamentals, helping you assess whether the current price already reflects future growth expectations.

Seeing Machines historical P/E ratio, EBIT multiple, and P/S ratio

Seeing Machines annual returns

Details

Annual Return

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What This Chart Shows

This chart breaks down 's total annual return into two components: price return (gains or losses from stock price movement) and dividend return (income received from dividend payments). Together, they represent the total return an investor would have earned in each calendar year.

Price Return

Price return measures the percentage change in 's stock price from January 1st to December 31st of each year. Positive bars indicate the stock appreciated; negative bars show a decline. This is the component most investors focus on, but it tells only part of the story — especially for dividend-paying stocks.

Dividend Return

Dividend return represents the income generated from dividends paid during the year, expressed as a percentage of the starting stock price. While it may seem small in any single year (typically 1–4 % for established companies), dividends compound significantly over decades and have historically contributed roughly 40 % of total stock market returns.

What to Look For

Examine how many years showed positive vs. negative returns to gauge consistency. A stock with mostly positive years and small drawdowns suggests lower risk. Also compare 's annual returns to a benchmark index — consistently outperforming the market is a hallmark of a strong investment. Pay attention to the worst years: understanding downside risk is just as important as chasing upside potential.

Seeing Machines shares outstanding

The number of shares of Seeing Machines was 4.56 B in 2025. This indicates how many shares Seeing Machines is divided into. Since shareholders are the owners of a company, each share represents a small portion of the company's ownership.

  • 3 Years

  • 5 Years

  • 10 Years

  • 25 Years

  • Max

Number of stocks
Details
Date
Number of stocks
Jan 1, 2021
3.63 B Stocks
Jan 1, 2022
4.04 B Stocks
Jan 1, 2023
4.16 B Stocks
Jan 1, 2024
4.16 B Stocks
Jan 1, 2025
4.56 B Stocks
Jan 1, 2026 (e)
4.56 B Stocks
Jan 1, 2027 (e)
4.56 B Stocks
Jan 1, 2028 (e)
4.56 B Stocks

Current Seeing Machines forecasts and price targets in August 2026

Analyst Price Targets 2026
Δ MOM Price Target
0.00 %
Buy
90.00 % (9)
Hold
10.00 % (1)
Sell
0.00 % (0)
12M Price Target
9.27
Last Price
0.06
Currency
USD
12M Return Potential
14,538.67 %
LTM Return
0 %

EESG©

Eulerpool ESG Scorecard© for the Seeing Machines stock

29/100
34
Environment
32
Social
21
Governance
E

Environment

20
Scope 1 - Direct Emissions—
Scope 2 - Indirect emissions from purchased energy—
Scope 3 - Indirect emissions within the value chain—
Total CO₂ emissions64.137
CO₂ reduction strategy
Coal energy
Nuclear power
Animal experiments
Fur & Leather—
Pesticides—
Palm Oil—
Tobacco
Genetically modified organisms
Climate concept—
Sustainable forestry—
Recycling regulations
Environmentally friendly packaging
Hazardous substances
Fuel consumption and efficiency
Water consumption and efficiency
S

Social

20
Percentage of female employees50.26
Percentage of women in management—
Percentage of Asian employees—
Share of Asian management—
Percentage of Hispanic/Latino employees—
Hispano/Latino Management share—
Percentage of Black employees—
Black Management Share—
Percentage of white employees—
White Management Share—
Adult content
Alcohol
Weapons—
Firearms
Gambling
Military contracts
Human rights concept
Privacy concept—
Occupational health and safety
Catholic
G

Governance (Corporate Governance)

4
Environmental reporting
Stakeholder Engagement
Call Back Policies
Antitrust law

The Eulerpool ESG Scorecard© is the strictly copyrighted intellectual property of Eulerpool Research Systems. Any unauthorized use, imitation, or infringement will be actively pursued and may lead to significant legal consequences. For licenses, collaborations, or usage rights, please contact us directly via our contact form. Contact Form to us.

Seeing Machines shareholder structure

% Name
1.68379%
Chelverton Asset Management Ltd.
Chelverton Asset Management Ltd.
0.47559%
Federated Hermes Global Investment Management Corp.
Federated Hermes Global Investment Management Corp.
0.27995%
Ive (Martin)
Ive (Martin)
0.25643%
River Global Investors LLP
River Global Investors LLP
0.23593%
Crux Asset Management Limited
Crux Asset Management Limited
0.08849%
AFH Wealth Management
AFH Wealth Management

Seeing Machines Beneficial Ownership Filings (SEC 13D/G)

Free Float
67.8%
Float Shares
-
Shares Outstanding
-

Seeing Machines Executives and Management Board

11 members · 9 % women

PM

Mr. Paul McGlone

Chief Executive Officer, Executive Director · since 2019

760,897.00 USD

Management

MI

Mr. Martin Ive

Chief Financial Officer

–
AB

Mr. Anthony Borgo

Chief Operating Officer

–
GC

Mr. Gary Collins

Senior Vice President and General Manager - Automotive OEM Solutions

–
JN

Mr. John Noble

Chief Technology Officer

–
PN

Mr. Patrick Nolan

General Manager - Aftermarket Solutions and Aviation

–
ML

Dr. Mike Lenne

Chief Safety Officer

–

Board of Directors

KH

Ms. Kate Hill

Non-Executive Independent Chairman of the Board · since 2018

111,003.00 USD
JM

Mr. John Murray

Non-Executive Independent Director

71,825.00 USD
GV

Mr. Gerhard Vorster

Non-Executive Independent Director

71,825.00 USD
SV

Mr. Stephane Vedie

Non-Executive Independent Director

61,548.00 USD

Seeing Machines Supply Chain

Seeing Machines Supply Chain

Correlation: how closely stock prices move together

Same directionNo relationOpposite
5 companies
#NameTrend
1
Volvo B
Supplier·Customer·SE
0.55
-0.38
0.27
0.61
0.53
—
2
Veoneer, Inc.
Supplier·Customer·Auto Components·SE
0.47
-0.66
-0.56
-0.35
-0.25
—
3
Federated Hermes B
Supplier·Customer·Capital Markets·US
0.39
-0.56
0.26
0.79
0.52
—
4
L3Harris Technologies
Supplier·Customer·Aerospace & Defense·US
0.32
0.14
0.48
-0.74
-0.63
—
5
Qualcomm
Supplier·Customer·Semiconductors & Semiconductor Equipment·US
0.23
0.78
0.49
0.86
0.34
—

Frequently asked questions about Seeing Machines

Seeing Machines Ltd. is a leading technology company specializing in computer vision solutions. Their business model revolves around the development and commercialization of advanced eye tracking and facial sensing technologies. These technologies are primarily used for enhancing safety in various sectors such as automotive, aviation, fleet, and rail. By leveraging their expertise in artificial intelligence and machine learning, Seeing Machines aims to provide advanced driver monitoring systems and innovative solutions that help prevent accidents and improve operator performance. Their cutting-edge technology enables real-time monitoring of driver fatigue, distraction, and other vital parameters, contributing to safer and more efficient operations in a wide range of industries.

Seeing Machines Ltd is primarily active in the industries of automotive, transportation, aviation, mining, and fleet.

The main competitors of Seeing Machines Ltd in the market are companies like Smart Eye AB, Visteon Corporation, and Tobii AB.

Seeing Machines Ltd is a leading provider of advanced computer vision technologies. Established in 1997, the company is headquartered in Canberra, Australia. Seeing Machines specializes in developing cutting-edge software and AI-powered solutions for monitoring fatigue, distraction, and other cognitive aspects in automotive, aviation, mining, and other industrial sectors. The company's technology utilizes advanced eye-tracking algorithms and machine learning to enhance safety and performance. Seeing Machines has a strong track record of partnering with reputable organizations worldwide and has secured multiple patents in its field. With a commitment to innovation and safety, Seeing Machines continues to be at the forefront of revolutionizing industries through its state-of-the-art technologies.

Seeing Machines Ltd has achieved several significant milestones. One notable milestone was the development and commercialization of their advanced eye-tracking technology, which has revolutionized the automotive industry by enhancing driver safety and improving vehicle performance. Another significant achievement was the expansion of their market reach globally, establishing partnerships with major automakers and securing contracts with industry leaders. Furthermore, Seeing Machines Ltd has successfully diversified its product offerings, entering new markets such as aviation and mining. These accomplishments have solidified Seeing Machines Ltd as a leading provider of innovative and cutting-edge technology solutions for various industries.

Seeing Machines Ltd is primarily present in several countries and regions around the world. This includes Australia, where the company was founded and has its headquarters. Additionally, Seeing Machines Ltd has a significant presence in the United Kingdom, where it also operates offices. The company's leading-edge technology and solutions have gained recognition and adoption in North America, particularly in the United States. Furthermore, Seeing Machines Ltd has been expanding its global footprint and establishing partnerships in Europe, Asia, and other regions. Overall, the company's innovative offerings are making a significant impact on various markets worldwide.

Seeing Machines Ltd is a company dedicated to providing innovative computer vision technologies. With a strong emphasis on road safety, Seeing Machines implements advanced eye-tracking technology to detect and monitor driver fatigue, distraction, and impairment. The company aims to enhance the well-being of individuals by offering solutions that improve safety across various industries, including automotive, aviation, mining, and transport. Combining cutting-edge artificial intelligence and machine learning, Seeing Machines is committed to creating a safer and more efficient world, where technology enables people to perform their tasks while prioritizing safety above all else.

Analysts currently set an average price target of 9.27 USD for the Seeing Machines stock (median: 9.27 USD), implying +14,538.7 % versus the latest price. The consensus is based on 10 analyst ratings.

Seeing Machines Analyst Price Targets 2026

10 analysts currently rate the Seeing Machines stock: 9 recommend buying, 1 holding and 0 selling. For 2026, analysts expect Seeing Machines to generate revenue of 90.52 M USD and earnings per share of -0.00 USD.

Seeing Machines Analyst Price Targets 2026

Converted at the current exchange rate, the Seeing Machines share trades at 0.05 EUR (0.06 USD).

The Seeing Machines share (SEE.L) is listed on 4 stock exchanges, including: Frankfurt (M2Z.F), London (SEE.L), London (SEE.L).

Seeing Machines Ltd is an Australian-British company specializing in the development of technology for the detection of fatigue, distraction, and behaviors of drivers and operators in various transportation and industrial environments. The company was founded in 2000 and is headquartered in Canberra, Australia, with offices in the UK, US, and other regions. The business model of Seeing Machines includes several sectors. The main sector is Automotive, where the company develops and distributes AI-based driver monitoring systems installed in mid-range and luxury vehicles to improve driving safety and efficiency. The technology uses a combination of camera and sensor data to detect the physiological and behavioral characteristics of the driver, including fatigue, distraction, attention, and eye movements. The system warns the driver of an increased risk of accident or error and provides recommendations to improve driving behavior. Another sector of Seeing Machines is Off-Road, where the company offers monitoring systems for heavy machinery and equipment in mining, construction, forestry, and other industries. The technology is installed in the cabin of the machines to monitor the operator and warn of potential accidents due to fatigue, distraction, or inattentive behavior. The systems are also capable of assessing machine performance and identifying optimization potential. In addition to Automotive and Off-Road, Seeing Machines also offers a sector called Fleet, where the company provides fleet management solutions based on driver monitoring. The technology allows fleet operators to monitor and evaluate driver behavior to improve safety, efficiency, and operating costs. Seeing Machines' product range includes not only monitoring systems but also software solutions and APIs that enable the company's customers to integrate the data and analyses into their existing processes and systems. Seeing Machines' technology has been used in a variety of industries, including transportation, oil and gas, mining, defense, and aviation. Seeing Machines' business model is based on the development of innovative technology to improve safety and efficiency in various industries. The company works closely with leading automotive manufacturers and other industrial partners to integrate the technology into systems and increase market penetration. Seeing Machines also pursues a growth strategy through acquisitions and partnerships to expand access to new markets and customers. Overall, Seeing Machines is a leading company in the development and commercialization of driver monitoring systems and other technologies to improve safety and efficiency in various industries. The company has a strong business model based on the development of innovative technologies, close partnerships, and a growth strategy.

The expected revenue of Seeing Machines is 90.52 M USD. This figure is based on current financial data and reflects the company's business performance.

The expected profit of Seeing Machines is -6.79 M USD. The net profit reflects the company's profitability after deducting all expenses.

The price-to-earnings ratio (P/E) of Seeing Machines is currently -42.47. The P/E ratio compares the current share price to the earnings per share and helps investors assess the valuation of the Seeing Machines stock.

The price-to-sales ratio (P/S) of Seeing Machines is currently 3.19. The P/S ratio compares the market capitalization to the annual revenue and serves as a valuation metric for the Seeing Machines stock.

The Eulerpool Quality Score for Seeing Machines is 3/10.

The ISIN of Seeing Machines is AU0000XINAJ0. The ISIN (International Securities Identification Number) is a globally unique identifier for securities.

The WKN of Seeing Machines is A0LAV0. The WKN (Wertpapierkennnummer) is a six-digit German security identification number.

The ticker of Seeing Machines is SEE.L. The ticker symbol is used to trade Seeing Machines shares on the stock exchange.

Seeing Machines paid dividends every year for the past 0 years.

Seeing Machines is assigned to the 'Information technology' sector.

The dividends of Seeing Machines are distributed in USD.

All fundamentals and in-depth analysis of Seeing Machines

Our stock analysis for Seeing Machines stock includes important financial indicators such as revenue, profit, P/E ratio, P/S ratio, EBIT, as well as information on dividends. We also assess aspects such as stocks, market capitalization, debt, equity, and liabilities of Seeing Machines. If you are looking for more detailed information on these topics, we offer comprehensive analyses on our subpages.

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