Appen Ltd is primarily active in the industries of Artificial Intelligence (AI), machine learning, and data annotation.

The main competitors of Appen Ltd in the market include companies like Lionbridge Technologies, Inc., LanguageWire, and Leapforce.

Appen Ltd is a global leader in human-annotated data for machine learning and artificial intelligence. With over 20 years of experience, Appen has been providing high-quality, reliable training data to fuel the development of cutting-edge technologies. The company was founded in 1996 by Dr. Julie Vonwiller and Dr. Dr. Anthony Vonwiller, and has since grown its presence globally. Appen operates across various industries, including technology, automotive, retail, and healthcare, catering to the diverse needs of its clients. Renowned for its crowd management platform and expertise in data collection and annotation, Appen continues to innovate and drive advancements in AI technology. As a result, Appen Ltd has established itself as a trusted partner for businesses looking to harness the power of data-driven solutions.

Appen Ltd, a leading provider of human-annotated data for machine learning, has achieved several significant milestones. These include expansion into new markets such as China and India, the acquisition of Leapforce and Figure Eight, and the establishment of key partnerships with major technology giants. Appen has consistently demonstrated strong financial performance, with steady revenue growth over the years. The company's dedication to innovation and its ability to adapt to changing market trends have contributed to its success. With its global presence and unmatched expertise in data annotation, Appen continues to be a trusted leader in the industry, shaping the future of artificial intelligence and machine learning technologies.

Appen Ltd is primarily present in various countries and regions around the world. Some key areas where the company operates include Australia, the United States, the United Kingdom, Canada, and the Philippines. With a global presence, Appen offers its services and solutions to clients across different industries in these regions, helping them with their data labeling, annotation, and AI training needs.

Appen Ltd represents values such as integrity, quality, and collaboration. The company is committed to delivering high-quality data solutions and maintaining the highest ethical standards. Appen values its global crowd of remote workers, ensuring fair treatment and fostering a collaborative environment. With a focus on diversity and inclusion, Appen embraces the unique perspectives of its workforce, enabling innovation and excellence in its services. The company's corporate philosophy centers around providing accurate and reliable data to drive advancements in artificial intelligence and machine learning technologies. Appen's dedication to these values and philosophy has contributed to its success as a leading provider of human-annotated data for AI training.

Analysts currently set an average price target of 0,93 USD for the Appen stock (median: 1,01 USD), implying +17,8 % versus the latest price. The consensus is based on 8 analyst ratings.

Appen Prezzi Obiettivo Analisti 2026

8 analysts currently rate the Appen stock: 5 recommend buying, 2 holding and 1 selling. For 2026, analysts expect Appen to generate revenue of 263,79 Mio. USD and earnings per share of 0,01 USD.

Appen Prezzi Obiettivo Analisti 2026

Converted at the current exchange rate, the Appen share trades at 0,68 EUR (0,79 USD).

The Appen share (APX.AX) is listed on 6 stock exchanges, including: XETRA (433.DE), Frankfurt (433.F), München (433.MU), Düsseldorf (433.DU), ASX (APX.AX).

Appen Ltd is a leading company in the field of artificial intelligence (AI) and machine learning (ML). The company's business model focuses on providing the data needed to train and improve AI and ML models. Appen operates worldwide and serves clients in the IT, automotive, healthcare, finance, and other industries. One of Appen's core divisions is speech and text processing. The company offers a variety of services such as transcription and translation text creation, as well as voice recording. Appen has built an extensive network of language specialists who can provide high-quality development data to improve the accuracy and quality of AI models. The provided data is utilized by algorithms and technologies to train and enhance AI systems. Another important division of Appen is image and video processing. The company offers services such as label and annotation creation, as well as object recognition and segmentation. These services are utilized by customers such as automotive manufacturers and other companies to create and train AI models used in autonomous vehicles and other applications. The company also provides a variety of solutions to enable better collaboration between customers and data experts. The Appen platform gives customers access to a range of tools and technologies for data collection, labeling, and processing. The platform also facilitates collaboration between customers and data experts from around the world. In addition to its services and solutions, Appen also offers a range of products specifically designed for use in AI and ML systems. One example is the Appen Speech API, which allows developers to integrate speech functions into their applications. The API can be used in various applications such as speech recognition and translation, chatbots, and other voice applications. Appen's business model is focused on constantly expanding and improving its products and services. The company invests continuously in research and development to enhance technology and services and maintain competitiveness. The company also works closely with customers to meet their needs and requirements and provide innovative solutions. In summary, Appen is a company that offers high-quality data solutions and services to enhance the performance of AI and ML systems. The company operates worldwide and serves clients in various industries. Appen's business model is based on continual expansion and improvement of its products and services, as well as collaboration with customers to develop innovative solutions.

Il attesa fatturato di Appen ammonta a 263,79 Mio. USD. Questo dato si basa sui dati finanziari attuali e riflette lo sviluppo commerciale dell'azienda.

Il attesa profitto di Appen ammonta a 2,28 Mio. USD. L'utile netto riflette la redditività dell'azienda dopo la deduzione di tutti i costi.

Il rapporto prezzo/utili (P/E) di Appen è attualmente 91,45. Il rapporto P/E confronta il prezzo attuale dell'azione con l'utile per azione e aiuta gli investitori a valutare la valutazione dell'azione Appen.

Il rapporto prezzo/fatturato (P/S) di Appen è attualmente 0,79. Il rapporto P/S confronta la capitalizzazione di mercato con il fatturato annuo e funge da indicatore di valutazione dell'azione Appen.

Il Quality Score AlleAktien per Appen è 2/10.

L'ISIN di Appen è AU000000APX3. L'ISIN (International Securities Identification Number) è un codice identificativo univoco a livello mondiale per i titoli.

Il WKN di Appen è A12HVN. Il WKN (Wertpapierkennnummer) è un codice identificativo tedesco a sei cifre per i titoli.

Il ticker di Appen è APX.AX. Con questo simbolo di borsa vengono negoziate le azioni Appen in borsa.

Negli ultimi 12 mesi, Appen ha pagato un dividendo di 0,07 USD . Ciò corrisponde a un rendimento da dividendo di circa 8,47 %. Per i prossimi 12 mesi, si prevede che Appen pagherà un dividendo di 0,15 USD.

Il rendimento da dividendo attuale di Appen è 8,47 %.

Appen paga un dividendo, distribuito nei mesi di , , , .

Appen ha pagato dividendi ogni anno negli ultimi 0 anni.

Per i prossimi 12 mesi, si prevedono dividendi per un importo di 0,15 USD. Ciò corrisponde a un rendimento da dividendo di 18,52 %.

Appen è assegnato al settore 'Tecnologia dell'informazione'.

Per ricevere l'ultimo dividendo di Appen del per un importo di 0,07 USD, dovevi avere il titolo nel tuo portafoglio prima della data di stacco il .

L'ultimo dividendo è stato distribuito il .

I dividendi di Appen sono distribuiti in USD.