Innodata Inc (INOD) - Cash Flow Conversion Efficiency

Latest as of September 2025: 0.193x

Based on the latest financial reports, Innodata Inc (INOD) has a cash flow conversion efficiency ratio of 0.193x as of September 2025. Cash flow conversion efficiency measures how effectively a company's net assets (equity) generate operating cash flow. It is calculated by dividing operating cash flow ($18.77 Million) by net assets ($97.24 Million). A higher ratio indicates that the company is more efficient at using its equity to generate cash flow from its core operations.

Innodata Inc - Cash Flow Conversion Efficiency Trend (1993–2024)

This chart illustrates how Innodata Inc's cash flow conversion efficiency has evolved over time, based on yearly financial data. Read Innodata Inc debt and liabilities for a breakdown of total debt and financial obligations.

Innodata Inc Competitors by Cash Flow Conversion Efficiency

The table below lists competitors of Innodata Inc ranked by their cash flow conversion efficiency.

Company Cash Flow Conversion Efficiency
Blue Dart Express Limited
NSE:BLUEDART
0.165x
Aotecar New Energy Technology Co Ltd
SHE:002239
0.085x
Prosegur
MC:PSG
0.319x
Nancal Energy-Saving Tech Co
SHG:603859
-0.014x
Jiangsu Dagang Co Ltd
SHE:002077
0.016x
CHINA EAST ED HLDGS LTD
F:ZX3
N/A
Shenzhen Click Technology Co Ltd
SHE:002782
0.103x
Skywater Technology Inc
NASDAQ:SKYT
-0.160x

Annual Cash Flow Conversion Efficiency for Innodata Inc (1993–2024)

The table below shows the annual cash flow conversion efficiency of Innodata Inc from 1993 to 2024. For the full company profile with market capitalisation and key ratios, see Innodata Inc market capitalisation.

Year Net Assets Operating Cash Flow Cash Flow Conversion Efficiency Change
2024-12-31 $63.39 Million $35.02 Million 0.552x +133.89%
2023-12-31 $25.00 Million $5.90 Million 0.236x +450.48%
2022-12-31 $18.05 Million $-1.22 Million -0.067x -134.54%
2021-12-31 $26.41 Million $5.15 Million 0.195x -9.53%
2020-12-31 $26.25 Million $5.66 Million 0.216x +11.41%
2019-12-31 $22.11 Million $4.28 Million 0.194x +45.67%
2018-12-31 $27.13 Million $3.60 Million 0.133x +389.34%
2017-12-31 $27.18 Million $738.00K 0.027x +129.93%
2016-12-31 $30.15 Million $-2.73 Million -0.091x -218.40%
2015-12-31 $34.70 Million $2.66 Million 0.077x -39.75%
2014-12-31 $36.27 Million $4.61 Million 0.127x +643.86%
2013-12-31 $36.32 Million $621.00K 0.017x -95.29%
2012-12-31 $48.91 Million $17.77 Million 0.363x +594.93%
2011-12-31 $40.61 Million $-2.98 Million -0.073x -159.58%
2010-12-31 $39.44 Million $4.86 Million 0.123x -58.26%
2009-12-31 $40.98 Million $12.10 Million 0.295x +97.80%
2008-12-31 $30.19 Million $4.50 Million 0.149x -42.21%
2007-12-31 $23.23 Million $6.00 Million 0.258x +242.08%
2006-12-31 $19.01 Million $-3.45 Million -0.182x -528.89%
2005-12-31 $26.81 Million $1.14 Million 0.042x -92.77%
2004-12-31 $26.74 Million $15.67 Million 0.586x +1395.52%
2003-12-31 $17.40 Million $682.00K 0.039x -80.00%
2002-12-31 $15.57 Million $3.05 Million 0.196x -17.58%
2001-12-31 $20.36 Million $4.84 Million 0.238x -62.93%
2000-12-31 $19.32 Million $12.39 Million 0.641x +158.72%
1999-12-31 $11.70 Million $2.90 Million 0.248x -25.64%
1998-12-31 $7.50 Million $2.50 Million 0.333x +60.61%
1997-12-31 $5.30 Million $1.10 Million 0.208x +119.08%
1996-12-31 $9.50 Million $900.00K 0.095x +31.28%
1995-12-31 $9.70 Million $700.00K 0.072x -33.45%
1994-12-31 $8.30 Million $900.00K 0.108x +385.54%
1993-12-31 $7.90 Million $-300.00K -0.038x --

About Innodata Inc

NASDAQ:INOD USA Information Technology Services
Market Cap
$1.40 Billion
Market Cap Rank
#7652 Global
#2161 in USA
Share Price
$44.02
Change (1 day)
+4.24%
52-Week Range
$34.45 - $93.19
All Time High
$93.19
About

Innodata Inc. operates as a data engineering company in the United States, the United Kingdom, the Netherlands, Canada, and internationally. The company operates through three segments: Digital Data Solutions (DDS), Synodex, and Agility. The DDS segment engages in the provision of artificial intelligence (AI) data preparation services; collecting or creating training data; annotating training dat… Read more