Seeing Machines

Seeing Machines Liabilities

The The Liabilities of Seeing Machines (SEE.L) as of Nov 2, 2026 is 88.04 M USD. In the previous year, The Liabilities was 93.31 M USD — a change of -5.65% (lower).

Liabilities

88.04 MUSD

YoY

-5.65%

Last updated:

In 2025, Seeing Machines's total liabilities amounted to 88.04 M USD, a -5.65% difference from the 93.31 M USD total liabilities in the previous year.

The Seeing Machines Liabilities history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

Liabilities
Date
Liabilities
Jan 1, 2018
18.13 M USD
Jan 1, 2019
10.15 M USD
Jan 1, 2020
12.76 M USD
Jan 1, 2021
13.72 M USD
Jan 1, 2022
21.19 M USD
Jan 1, 2023
66.56 M USD
Jan 1, 2024
93.31 M USD
Jan 1, 2025
88.04 M USD
The Seeing Machines Liabilities history
YEARLiabilitiesYoY
88.04 MUSD-5.65%
93.31 MUSD+40.20%
66.56 MUSD+214.05%
21.19 MUSD+54.43%
13.72 MUSD+7.57%
12.76 MUSD+25.76%
10.15 MUSD-44.04%
18.13 MUSD+209.51%
5.86 MUSD+38.11%
4.24 MUSD+19.15%
3.56 MUSD—

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Seeing Machines Stock analysis

What does Seeing Machines do? 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 is one of the most popular companies on Eulerpool.

Liabilities Details

Assessing Seeing Machines's Liabilities

Seeing Machines's liabilities constitute the company's financial obligations and debts owed to external parties and stakeholders. They are categorized into current liabilities, due within a year, and long-term liabilities, which are due over a longer period. A detailed assessment of these liabilities is crucial for evaluating Seeing Machines's financial stability, operational efficiency, and long-term viability.

Year-to-Year Comparison

By comparing Seeing Machines's liabilities year-over-year, investors can identify trends, shifts, and anomalies in the company’s financial positioning. A decrease in total liabilities often signals financial strengthening, while an increase might indicate enhanced investments, acquisitions, or potential financial strain.

Impact on Investments

Seeing Machines's total liabilities play a significant role in determining the company's leverage and risk profile. Investors and analysts examine this aspect meticulously to ascertain the firm’s ability to meet its financial obligations, which influences investment attractiveness and credit ratings.

Interpreting Liability Fluctuations

Shifts in Seeing Machines’s liability structure indicate changes in its financial management and strategy. A reduction in liabilities reflects efficient financial management or debt payoffs, while an increase may suggest expansion, acquisition activities, or accruing operational expenses, each carrying distinct implications for investors.

Frequently Asked Questions about Seeing Machines stock

The Liabilities of Seeing Machines is 88.04 M USD in 2025.

The Liabilities of Seeing Machines changed from 93.31 M USD to 88.04 M USD, representing a -5.65% change. The value is lower than the previous year.

On Eulerpool you can find the complete historical development of The Liabilities Seeing Machines since 2006 – with annual values, charts, and detailed analysis.

The Liabilities's USD is a key factor for investors. Changes in this metric can signal improving or deteriorating fundamentals, directly impacting the stock price. On Eulerpool, you can track The Liabilities's Seeing Machines historically and in real time.

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Balance Sheet — Seeing Machines

All Key Metrics — Seeing Machines