Network-1 Technologies Inc (NTIP) - Cash Flow Conversion Efficiency

Latest as of September 2025: -0.003x

Based on the latest financial reports, Network-1 Technologies Inc (NTIP) has a cash flow conversion efficiency ratio of -0.003x 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 ($-104.00K) by net assets ($40.52 Million). A higher ratio indicates that the company is more efficient at using its equity to generate cash flow from its core operations. Also see NTIP market cap overview for the company's overall valuation and market capitalisation.

Network-1 Technologies Inc - Cash Flow Conversion Efficiency Trend (1997–2024)

This chart illustrates how Network-1 Technologies Inc's cash flow conversion efficiency has evolved over time, based on yearly financial data.

Network-1 Technologies Inc Competitors by Cash Flow Conversion Efficiency

The table below lists competitors of Network-1 Technologies Inc ranked by their cash flow conversion efficiency. Explore NTIP cash flow quality index to measure how well operating cash flow supports reported net income.

Company Cash Flow Conversion Efficiency
DONGJIANG ENVIRONMENTAL H
F:DGN
N/A
American West Metals Ltd
AU:AW1
1.581x
Navamedic ASA
OL:NAVA
0.019x
Risma Systems AS
CO:RISMA
0.209x
Chow Steel Industries Public Company Limited
BK:CHOW
0.041x
Iconic Worldwide Bhd
KLSE:9113
0.028x
Asuransi Harta Aman Pratama Tbk PT
JK:AHAP
0.088x
Gol Linhas Aéreas Inteligentes S.A
NYSE:GOLLQ
-0.024x

Annual Cash Flow Conversion Efficiency for Network-1 Technologies Inc (1997–2024)

The table below shows the annual cash flow conversion efficiency of Network-1 Technologies Inc from 1997 to 2024. View NTIP live share price for real-time trading data and today's change.

Year Net Assets Operating Cash Flow Cash Flow Conversion Efficiency Change
2024-12-31 $44.31 Million $-1.08 Million -0.024x -471.89%
2023-12-31 $50.69 Million $331.00K 0.007x +106.62%
2022-12-31 $55.11 Million $-5.44 Million -0.099x -130.43%
2021-12-31 $60.16 Million $19.50 Million 0.324x +3267.91%
2020-12-31 $49.16 Million $-503.00K -0.010x +9.51%
2019-12-31 $53.51 Million $-605.00K -0.011x -108.13%
2018-12-31 $58.20 Million $8.09 Million 0.139x +11.69%
2017-12-31 $54.41 Million $6.77 Million 0.124x -77.99%
2016-12-31 $52.87 Million $29.91 Million 0.566x +188.09%
2015-12-31 $28.69 Million $5.63 Million 0.196x -8.20%
2014-12-31 $26.94 Million $5.76 Million 0.214x +141.77%
2013-12-31 $30.80 Million $2.73 Million 0.088x -4.09%
2012-12-31 $28.98 Million $2.67 Million 0.092x +28.47%
2011-12-31 $27.40 Million $1.97 Million 0.072x -92.57%
2010-12-31 $20.70 Million $19.99 Million 0.966x +280.20%
2009-12-31 $2.73 Million $-1.46 Million -0.536x -67.50%
2008-12-31 $4.40 Million $-1.41 Million -0.320x -2.23%
2007-12-31 $5.73 Million $-1.79 Million -0.313x +65.11%
2006-12-31 $1.40 Million $-1.26 Million -0.897x +63.31%
2005-12-31 $752.00K $-1.84 Million -2.445x -229.07%
2004-12-31 $1.13 Million $-842.00K -0.743x +71.75%
2003-12-31 $517.00K $-1.36 Million -2.631x +42.07%
2002-12-31 $1.08 Million $-4.93 Million -4.541x -529.61%
2001-12-31 $6.86 Million $-4.95 Million -0.721x +30.55%
2000-12-31 $4.18 Million $-4.34 Million -1.038x +59.08%
1999-12-31 $2.17 Million $-5.50 Million -2.538x -625.78%
1998-12-31 $7.24 Million $-2.53 Million -0.350x -104.99%
1997-12-31 $-100.00K $-700.00K 7.000x --

About Network-1 Technologies Inc

NYSE MKT:NTIP USA Specialty Business Services
Market Cap
$34.23 Million
Market Cap Rank
#23443 Global
#5100 in USA
Share Price
$1.50
Change (1 day)
+1.35%
52-Week Range
$1.27 - $1.67
All Time High
$3.67
About

Network-1 Technologies, Inc. engages in the development, licensing, and protection of intellectual property assets. The company owns 106 patents, including the Cox patent portfolio related to enabling technology for identifying media content on the Internet; M2M/IoT patent portfolio related to enabling technology for authenticating, provisioning, and using embedded sim technology in IoT, machine-… Read more