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Innodata (FRA:ID6) Valuation Rank


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What is Innodata Valuation Rank?

The Valuation Rank measures the current valuation of a business relative to other companies in the same industry and its own historical valuation. The companies are split in equal numbers and then ranked from 1 to 10, with 10 as the most undervalued and 1 as the most overvalued.

  1. Three factors:
    • Absolute valuation (medpsvalue) relative to current stock price, rank among all companies
    • Historical valuation over the past 10 years. Rank pe, ps, pocf, ev2ebit over their own historical values
    • Industry relative valuation
  2. Companies without enough data is not ranked
  3. Companies with negative earnings are ranked lower

These three factors are used to calculate the value score for every eligible company, with values from 1 to 10. The final ranked companies are split in equal numbers and ranked from 1 to 10, with 10 as the most undervalued, and 1 as the most overvalued. The numbers of companies in each rank are the same.

Innodata Valuation Rank Related Terms

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Innodata Business Description

Industry
GURUFOCUS.COM » STOCK LIST » Technology » Software » Innodata Inc (FRA:ID6) » Definitions » Valuation Rank
Comparable Companies
GDYN VYX BBAI NABL TASK APLD WNS PENG TTGT XRX IBM ACN NSE:TCS FI NSE:INFY NSE:HCLTECH CTSH IT FIS BOM:507685
Traded in Other Exchanges
INOD:USA
Address
55 Challenger Road, Ridgefield Park, NJ, USA, 07660
Website
https://www.innodata.com
Innodata Inc is a data engineering company. It is helping companies deploy and integrate AI into their operations and products and providing AI-enabled industry platforms. The Company's operations are classified in three reporting segments: Digital Data Solutions (DDS), Synodex and Agility. Key revenue is generated from DDS segment provides AI data preparation services, collecting or creating training data, annotating training data, and training AI algorithms for its customers, and AI model deployment and integration. It also provides a range of data engineering support services including data transformation, data curation, data hygiene, data consolidation, data extraction, data compliance, and master data management.