Innodata Inc (INOD) - Cash Flow Conversion Efficiency

Latest as of March 2026: 0.291x

Based on the latest financial reports, Innodata Inc (INOD) has a cash flow conversion efficiency ratio of 0.291x as of March 2026. 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 ($37.26 Million) by net assets ($128.18 Million). A higher ratio indicates that the company is more efficient at using its equity to generate cash flow from its core operations. See INOD defensive interval ratio to measure how many days the company can operate on defensive assets alone.

Innodata Inc - Cash Flow Conversion Efficiency Trend (1993–2025)

This chart illustrates how Innodata Inc's cash flow conversion efficiency has evolved over time, based on yearly financial data.

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
Rev Group Inc
NYSE:REVG
0.185x
Hayward Holdings Inc
NYSE:HAYW
-0.093x
Nicolet Bankshares Inc.
NYSE:NIC
0.007x
Xiangyang Changyuan Donggu Industry Co Ltd
SHG:603950
0.022x
Kirloskar Oil Engines Limited
NSE:KIRLOSENG
0.097x
Grand Plastic Technology
TWO:3131
0.229x
Shufersal
TA:SAE
0.144x
CRRC Corporation Limited
F:C2L
-0.034x

Annual Cash Flow Conversion Efficiency for Innodata Inc (1993–2025)

The table below shows the annual cash flow conversion efficiency of Innodata Inc from 1993 to 2025. 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
2025-12-31 $107.06 Million $46.75 Million 0.437x -20.95%
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
$3.12 Billion
Market Cap Rank
#4895 Global
#1609 in USA
Share Price
$95.50
Change (1 day)
-6.85%
52-Week Range
$34.45 - $121.50
All Time High
$121.50
About

Innodata Inc. operates as a data engineering company in the United States, the United Kingdom, the Netherlands, Canada, Germany, Belgium, 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) training and post-training data, model evaluation, alignment, safety, … Read more