Appen Stock

Appen Debt

Delisted·Jun 15, 2026

The Debt of Appen (APX.AX) as of Aug 22, 2026 is 9.40 M USD. In the previous year, Debt was 11.04 M USD — a change of -14.83% (lower).

Debt

9.40 MUSD

YoY

-14.83%

Last updated:

In 2026, Appen's total debt was 9.40 M USD, a -14.83% change from the 11.04 M USD total debt recorded in the previous year.

The Appen Debt history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

Debt
Date
Debt
Jan 1, 2018
37.88 M USD
Jan 1, 2019
15.26 M USD
Jan 1, 2020
19.47 M USD
Jan 1, 2021
15.06 M USD
Jan 1, 2022
10.18 M USD
Jan 1, 2023
12.43 M USD
Jan 1, 2024
11.04 M USD
Jan 1, 2025
9.40 M USD
The Appen Debt history
YEARDebtYoY
9.40 MUSD-14.83%
11.04 MUSD-11.21%
12.43 MUSD+22.18%
10.18 MUSD-32.42%
15.06 MUSD-22.64%
19.47 MUSD+27.58%
15.26 MUSD-59.72%
37.88 MUSD-17.02%
45.65 MUSD+1.11 M%
4,100.00USD-48.75%
8,000.00USD
0.00USD
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Appen Stock analysis

What does Appen do? Appen Ltd is a global company that specializes in providing high-quality datasets and solutions for artificial intelligence, machine learning, and other technologies. The company is headquartered in Sydney, Australia and has been listed on the Australian Stock Exchange since 2015. Appen was founded in 1996 by Australian entrepreneur Julie Vonwiller as SpeechWorks, focusing on the development of speech recognition software. In 2000, the company was renamed Appen and expanded its service offerings to include data collection and analysis, particularly in the field of linguistics. Over the years, the company has expanded its operations to the global market, opening offices in other countries including the United States, United Kingdom, Canada, and the Philippines. Appen collaborates with a wide range of clients, including government agencies, technology companies, financial institutions, and medical facilities. The business model of Appen revolves around the collection, classification, and annotation of data needed for AI and machine learning system developers. To achieve this, Appen operates various data labeling centers worldwide and employs a large number of qualified language specialists, linguists, and data scientists. Appen's key areas of focus include speech recognition and processing, data annotation and categorization, image and video analysis, as well as machine learning and AI modeling. In the field of speech technology, the company offers speech recognition systems and automatic text-to-speech systems that can be used in applications such as chatbots, voice assistants, and speech recognition software. Appen's data annotation services encompass the manual annotation of text and speech data, images, and videos. The aim is to provide customers with high-quality datasets that can be used to enhance the performance of their systems. Appen's machine image and video analysis helps customers identify trends and patterns in large datasets and derive insights and decisions from them. Another important business area for Appen is the development and provision of algorithms and models for machine learning and artificial intelligence. This includes tasks such as automatic text generation and web data analysis. The company also offers a wide range of software products and tools to support customers in data collection, labeling, and analysis. These include Appen Connect, an online tool for managing data collection projects, and Appen API, an interface for integrating data annotation and machine learning into existing software applications. Appen has established itself as a reputable name in the industry and is internationally recognized for its innovative and high-quality data services. The company has received numerous awards and accolades, including the AIIA iAward for most innovative technology product innovation and the CogX Award for best AI data technology. Overall, Appen Ltd has become a key player in the AI and machine learning industry and is likely to continue playing an important role in the development and implementation of cutting-edge technology solutions in the future. Appen is one of the most popular companies on Eulerpool.

Debt Details

Understanding Appen's Debt Structure

Appen's total debt refers to the cumulative financial obligations the company owes to external parties. This can include short-term and long-term borrowings, bonds, loans, and other financial instruments. Assessing the company's debt levels is crucial for evaluating its financial health, risk profile, and ability to fund operations and expansions.

Year-to-Year Comparison

Analyzing Appen's debt structure over the years provides insights into the firm’s financial strategy and stability. A reduction in debt can indicate financial strength and operational efficiency, while an increase may signal growth investments or potential financial challenges ahead.

Impact on Investments

Investors pay close attention to Appen’s debt levels as they can influence the company’s risk and return profiles. Excessive debt can lead to financial strain, while moderate and well-managed debt can be a catalyst for growth and expansion, making it a critical aspect of investment evaluations.

Interpreting Debt Fluctuations

Shifts in Appen’s debt levels can be attributed to various operational and strategic factors. An increase in debt might be geared towards funding expansion projects or enhancing operational capacity, while a decrease may indicate profit realizations or an approach to minimize financial risk and leverage.

Frequently Asked Questions about Appen stock

Debt of Appen is 9.40 M USD in 2026.

Debt of Appen changed from 11.04 M USD to 9.40 M USD, representing a -14.83% change. The value is lower than the previous year.

On Eulerpool you can find the complete historical development of Debt Appen since 2006 – with annual values, charts, and detailed analysis.

Debt'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 Debt's Appen historically and in real time.

Access this data via the Eulerpool API

Balance Sheet — Appen

All Key Metrics — Appen