SEC Watch brings transparency to nearly 800,000 annual SEC Filings.Tumblr (3.0; @secwatch)http://blog.secwatch.com/<p><span> We created the <strong>SEC Watch Daily Brief</strong> to provide a snapshot for the days most important SEC Filings.  This new daily publication is <strong>COMPLETELY FREE.</strong><br/><br/>In each issue you will find: <ul><li>Latest Fortune 500 SEC Filings</li> <li>Notable Insider Trading</li> <li>IPO Registrations</li> <li>Latest Quarterly Reports</li> <li>Latest Proxy Statements</li> <li>Form D Investments</li> </ul> and news straight from the <strong>U.S. Securities and Exchange Commission</strong>: <ul><li>Administrative Proceedings</li> <li>Press Releases</li> <li>Public Statements</li> <li>Litigation Releases</li> </ul></span><span>We hope you will find this new daily service valuable. <br/><a title="Sign up for this newsletter" href="http://eepurl.com/stZ9">Click here to subscribe</a></span></p>http://blog.secwatch.com/post/554156580http://blog.secwatch.com/post/554156580Tue, 27 Apr 2010 16:56:38 -0400<p><script type="text/javascript" src="http://www.google.com/jsapi"></script><script type="text/javascript"> google.load('visualization', '1', {'packages': ['geomap', 'table', 'barchart']}); google.setOnLoadCallback(drawMap); function drawMap() { var data = new google.visualization.DataTable(); data.addRows(51); data.addColumn('string', 'State'); data.addColumn('number', 'Amount Invested'); data.setValue(0, 0, 'US-CA'); data.setValue(0, 1, 1904308583, '$10,000k'); data.setValue(1, 0, 'US-IL'); data.setValue(1, 1, 1697739714, '$10,000k'); data.setValue(2, 0, 'US-OH'); data.setValue(2, 1, 1006282115, '$10,000k'); data.setValue(3, 0, 'US-NY'); data.setValue(3, 1, 986751922, '$10,000k'); data.setValue(4, 0, 'US-TX'); data.setValue(4, 1, 519579276, '$10,000k'); data.setValue(5, 0, 'US-MA'); data.setValue(5, 1, 245694327, '$10,000k'); data.setValue(6, 0, 'US-PA'); data.setValue(6, 1, 228916884, '$10,000k'); data.setValue(7, 0, 'US-FL'); data.setValue(7, 1, 220315333, '$10,000k'); data.setValue(8, 0, 'US-GA'); data.setValue(8, 1, 207196931, '$10,000k'); data.setValue(9, 0, 'US-CT'); data.setValue(9, 1, 95898037, '$10,000k'); data.setValue(10, 0, 'US-NC'); data.setValue(10, 1, 94150322, '$10,000k'); data.setValue(11, 0, 'US-CO'); data.setValue(11, 1, 94112249, '$10,000k'); data.setValue(12, 0, 'US-AZ'); data.setValue(12, 1, 79345302, '$10,000k'); data.setValue(13, 0, 'US-NV'); data.setValue(13, 1, 68451768, '$10,000k'); data.setValue(14, 0, 'US-MD'); data.setValue(14, 1, 61625894, '$10,000k'); data.setValue(15, 0, 'US-NJ'); data.setValue(15, 1, 61617130, '$10,000k'); data.setValue(16, 0, 'US-WA'); data.setValue(16, 1, 51514669, '$10,000k'); data.setValue(17, 0, 'US-OR'); data.setValue(17, 1, 51347596, '$10,000k'); data.setValue(18, 0, 'US-MO'); data.setValue(18, 1, 41905919, '$10,000k'); data.setValue(19, 0, 'US-VA'); data.setValue(19, 1, 38642100, '$10,000k'); data.setValue(20, 0, 'US-IN'); data.setValue(20, 1, 30201298, '$10,000k'); data.setValue(21, 0, 'US-MN'); data.setValue(21, 1, 28156877, '$10,000k'); data.setValue(22, 0, 'US-KS'); data.setValue(22, 1, 26845966, '$10,000k'); data.setValue(23, 0, 'US-TN'); data.setValue(23, 1, 26471625, '$10,000k'); data.setValue(24, 0, 'US-MI'); data.setValue(24, 1, 18458743, '$10,000k'); data.setValue(25, 0, 'US-DC'); data.setValue(25, 1, 17372500, '$10,000k'); data.setValue(26, 0, 'US-ME'); data.setValue(26, 1, 17102270, '$10,000k'); data.setValue(27, 0, 'US-UT'); data.setValue(27, 1, 15756184, '$10,000k'); data.setValue(28, 0, 'US-MS'); data.setValue(28, 1, 11500000, '$10,000k'); data.setValue(29, 0, 'US-NM'); data.setValue(29, 1, 7383975, '$10,000k'); data.setValue(30, 0, 'US-WI'); data.setValue(30, 1, 5562556, '$10,000k'); data.setValue(31, 0, 'US-HI'); data.setValue(31, 1, 5000000, '$10,000k'); data.setValue(32, 0, 'US-RI'); data.setValue(32, 1, 4000000, '$10,000k'); data.setValue(33, 0, 'US-KY'); data.setValue(33, 1, 3814439, '$10,000k'); data.setValue(34, 0, 'US-NH'); data.setValue(34, 1, 3595000, '$10,000k'); data.setValue(35, 0, 'US-MT'); data.setValue(35, 1, 3510584, '$10,000k'); data.setValue(36, 0, 'US-DE'); data.setValue(36, 1, 2229269, '$10,000k'); data.setValue(37, 0, 'US-ID'); data.setValue(37, 1, 1317500, '$10,000k'); data.setValue(38, 0, 'US-AR'); data.setValue(38, 1, 1247000, '$10,000k'); data.setValue(39, 0, 'US-SC'); data.setValue(39, 1, 1210000, '$10,000k'); data.setValue(40, 0, 'US-SD'); data.setValue(40, 1, 790000, '$10,000k'); data.setValue(41, 0, 'US-VT'); data.setValue(41, 1, 687000, '$10,000k'); data.setValue(42, 0, 'US-OK'); data.setValue(42, 1, 350000, '$10,000k'); data.setValue(43, 0, 'US-IA'); data.setValue(43, 1, 223792, '$10,000k'); data.setValue(44, 0, 'US-ND'); data.setValue(44, 1, 195000, '$10,000k'); data.setValue(45, 0, 'US-AL'); data.setValue(45, 1, 60000, '$10,000k'); data.setValue(46, 0, 'US-AK'); data.setValue(46, 1, 1010, '$10,000k'); data.setValue(47, 0, 'US-LA'); data.setValue(47, 1, 0, '$10,000k'); data.setValue(48, 0, 'US-NE'); data.setValue(48, 1, 0, '$10,000k'); data.setValue(49, 0, 'US-WV'); data.setValue(49, 1, 0, '$10,000k'); data.setValue(50, 0, 'US-WY'); data.setValue(50, 1, 0, '$10,000k'); var options = {}; options['region'] = 'US'; options['colors'] = [0xffffff, 0xd0d8c7, 0xc3cdb6, 0xb6c1a7, 0xadbb9c, 0x9dae8a, 0x98a983, 0x90a37a, 0x889c71, 0x84986b]; //greens options['dataMode'] = 'regions'; options['showRowNumber'] = 'true'; var formatter = new google.visualization.NumberFormat({prefix: '$', fractionDigits: 0}); formatter.format(data, 1); // Apply formatter to second column var container = document.getElementById('march_map_canvas'); var geomap = new google.visualization.GeoMap(container); geomap.draw(data, options); var view = new google.visualization.DataView(data); view.setColumns([0, 1]); var table = new google.visualization.Table(document.getElementById('march_table_sort_div')); table.draw(view); }; </script><style> .google-visualization-table-table {width:557px;} </style> Privately-held companies that raise capital are required to file a <a href="http://secwatch.com/filing-d">Form D</a> with the SEC to declare exempt offering of securities. We created the map below using data from <a href="http://secwatch.com/researchplatform.jsp">SEC Watch&#8217;s Research Platform</a> for March Form D filings. Total values of investment are grouped by state and exclusive of pooled investment funds. <div>March Form D Investments by State</div> <div style="width: 557px; padding-top: 10px;"> <center> <div id="march_map_canvas" style="background-color: #FFF;"></div> <div id="march_table_sort_div" style="background-color: #FFF; margin-top: 15px;"></div> </center> </div></p>http://blog.secwatch.com/post/491533620http://blog.secwatch.com/post/491533620Fri, 02 Apr 2010 14:08:00 -0400form d<p><meta http-equiv="content-type" content="text/html; charset=utf-8"><title>Google Visualization API Sample</title><script type="text/javascript" src="http://www.google.com/jsapi"></script><script type="text/javascript"> google.load('visualization', '1', {packages: ['annotatedtimeline']}); function drawVisualization() { var query = new google.visualization.Query('http://spreadsheets.google.com/a/secwatch.com/tq?range=A2:B580&headers=0&key=0AqiAEzRw25LDdDF0cjU5N1lyemRtTnBKV1VxZ29EVlE&gid=0'); // Send the query with a callback function. query.send(handleQueryResponse); } function handleQueryResponse(response) { // Called when the query response is returned. if (response.isError()) { alert('Error in query: ' + response.getMessage() + ' ' + response.getDetailedMessage()); return; } var data = response.getDataTable(); annotatedtimeline = new google.visualization.AnnotatedTimeLine( document.getElementById('visualization')); annotatedtimeline.draw(data, {'displayAnnotations': true}); } google.setOnLoadCallback(drawVisualization); </script> Check it out - daily S-1 filing activity charted from January, 2008. There was a lot more activity back then! In case you were wondering, the huge spike in May, 2009 was from filings by healthcare giant HCA, Inc., the largest private hospital operator in the U.S. Companies file S-1 prospectuses prior to public offerings of securities so these filings are a great source of investment information. For more details, there&#8217;s a great overview <a href="http://www-2.hoovers.com/global/msn/index.xhtml?pageid=1972">here</a> and you can always access filings directly on <a href="http://secwatch.com/s1">SEC Watch</a>. <div id="visualization" style="width: 800px; height: 400px;"></div></p>http://blog.secwatch.com/post/468730934http://blog.secwatch.com/post/468730934Tue, 23 Mar 2010 18:05:00 -0400s-1<p>A lot of money goes into the healthcare industry. <br/> Given our fondness at SEC Watch for analyzing Form D data on private funding, we thought this would be an appropriate time to highlight healthcare-related investments in the past year. Out of 33 industry categories, 5 are related to the broader healthcare industry. Check out the numbers below for 2009, and for detailed information on each company and investment, download our Excel data several posts down: <br/><br/><b>Other Health Care:</b> $5,135,703,164&#160;<br/><b>Biotechnology:</b> $1,449,826,230&#160;<br/><b>Pharmaceuticals:</b> $858,700,448&#160;<br/><b>Hospitals and Physicians:</b> $100,437,958&#160;<br/><b>Health Insurance:</b>$8,193,189<br/><br/><b>Total: $7,552,860,989</b> or <b>17%</b> of all Form D investments <br/><br/><img src="http://media.tumblr.com/tumblr_kzphudGkIx1qae6go.png"/></p>http://blog.secwatch.com/post/466567488http://blog.secwatch.com/post/466567488Mon, 22 Mar 2010 19:14:00 -0400form dhealthcare<p><script type="text/javascript" src="http://www.google.com/jsapi"></script><script type="text/javascript"> google.load('visualization', '1', {packages:['table']}); google.setOnLoadCallback(drawTable); function drawTable() { var data = new google.visualization.DataTable(); data.addColumn('string', 'State'); data.addColumn('number', 'Form D Tech Funding'); data.addRows(20); data.setCell(0, 0, 'California'); data.setCell(0, 1, 1922862587, '$10,000k'); data.setCell(1, 0, 'Massachusetts'); data.setCell(1, 1, 316664110, '$10,000k'); data.setCell(2, 0, 'Virginia'); data.setCell(2, 1, 245766609, '$10,000k'); data.setCell(3, 0, 'Indiana'); data.setCell(3, 1, 187206179, '$10,000k'); data.setCell(4, 0, 'Washington'); data.setCell(4, 1, 176893067, '$10,000k'); data.setCell(5, 0, 'New York'); data.setCell(5, 1, 151632498, '$10,000k'); data.setCell(6, 0, 'Texas'); data.setCell(6, 1, 150339154, '$10,000k'); data.setCell(7, 0, 'Colorado'); data.setCell(7, 1, 78628964, '$10,000k'); data.setCell(8, 0, 'Utah'); data.setCell(8, 1, 72884352, '$10,000k'); data.setCell(9, 0, 'Maryland'); data.setCell(9, 1, 58072446, '$10,000k'); data.setCell(10, 0, 'North Carolina'); data.setCell(10, 1, 53163145, '$10,000k'); data.setCell(11, 0, 'Minnesota'); data.setCell(11, 1, 46205860, '$10,000k'); data.setCell(12, 0, 'Georgia'); data.setCell(12, 1, 43424759, '$10,000k'); data.setCell(13, 0, 'Pennsylvania'); data.setCell(13, 1, 37067353, '$10,000k'); data.setCell(14, 0, 'Florida'); data.setCell(14, 1, 32079239, '$10,000k'); data.setCell(15, 0, 'Canada'); data.setCell(15, 1, 30829976, '$10,000k'); data.setCell(16, 0, 'Illinois'); data.setCell(16, 1, 26852984, '$10,000k'); data.setCell(17, 0, 'Michigan'); data.setCell(17, 1, 22735594, '$10,000k'); data.setCell(18, 0, 'Connecticut'); data.setCell(18, 1, 20280720, '$10,000k'); data.setCell(19, 0, 'New Jersey'); data.setCell(19, 1, 19832999, '$10,000k'); var formatter = new google.visualization.NumberFormat({prefix: '$', fractionDigits: 0}); formatter.format(data, 1); // Apply formatter to second column var table = new google.visualization.Table(document.getElementById('table_div')); table.draw(data, {showRowNumber: true}); } </script> We&#8217;ve ranked the states by funding received by tech companies in 2009 as reported in Form D&#8217;s. <br/><br/> Not surprisingly, California came in first, followed by Massachusetts and Virginia. New York came in 6th, and interestingly if we treat Canada as a state it ranked 16th. See the top 20 below: <br/><br/><div id="table_div"></div></p>http://blog.secwatch.com/post/457423217http://blog.secwatch.com/post/457423217Thu, 18 Mar 2010 18:21:00 -0400<p><script type="text/javascript" src="http://www.google.com/jsapi"></script><script type="text/javascript"> google.load("visualization", "1", {packages:["columnchart"]}); google.setOnLoadCallback(drawChart); function drawChart() { var data = new google.visualization.DataTable(); data.addColumn('string', 'Industry'); data.addColumn('number', 'Funding'); data.addRows(10); data.setValue(0, 0, 'Commercial Banking'); data.setValue(0, 1, 9373199228); data.setValue(1, 0, 'Other Healthcare'); data.setValue(1, 1, 5135703164); data.setValue(2, 0, 'Other Technology'); data.setValue(2, 1, 3919266738); data.setValue(3, 0, 'Investing'); data.setValue(3, 1, 3550524332); data.setValue(4, 0, 'Insurance'); data.setValue(4, 1, 3419783404); data.setValue(5, 0, 'REITs and Finance'); data.setValue(5, 1, 2955583501); data.setValue(6, 0, 'Other Real Estate'); data.setValue(6, 1, 2853610978); data.setValue(7, 0, 'Oil and Gas'); data.setValue(7, 1, 2498841836); data.setValue(8, 0, 'Telecommunications') data.setValue(8, 1, 2464536845); data.setValue(9, 0, 'Manufacturing'); data.setValue(9, 1, 1922260363); var chart = new google.visualization.ColumnChart(document.getElementById('chart_div')); chart.draw(data, {width: 600, height: 360, is3D: false, showCategories: false, axisFontSize: 10, legend: 'none', title: '2009 Form D Funding - Top Industries'}); } </script> We&#8217;ve been poring over 2009 Form D data over at SEC Watch - from highest to lowest, here are the ten industries receiving the most funding in 2009: <br/><br/> 1. Commercial Banking ($9,373,199,228)<br/> 2. Other Healthcare ($5,135,703,164.00)<br/> 3. Other Technology ($3,919,266,738.00)<br/> 4. Investing ($3,550,524,332.00)<br/> 5. Insurance ($3,419,783,404.00)<br/> 6. REITs and Finance ($2,955,583,501.00)<br/> 7. Other Real Estate ($2,853,610,978.00)<br/> 8. Oil and Gas ($2,498,841,836.00)<br/> 9. Telecommunications ($2,464,536,845.00)<br/> 10. Manufacturing ($1,922,260,363.00)<br/><br/><div id="chart_div"></div></p>http://blog.secwatch.com/post/457376170http://blog.secwatch.com/post/457376170Thu, 18 Mar 2010 17:54:00 -0400<a href="http://secwatch.com/static/formd/Feb-2010.ods">All VC/Private Investment for Feb '10 in Excel Format</a>: <p>Feel free to manipulate the data any way you see fit, check back for more updates!</p>http://blog.secwatch.com/post/446146052http://blog.secwatch.com/post/446146052Sat, 13 Mar 2010 16:50:20 -0500<p>Privately-held companies that raise capital are required to file a <a href="http://secwatch.com/filing-d">Form D</a> with the SEC to declare exempt offering of securities. We created the map below using data from <a href="http://secwatch.com/researchplatform.jsp">SEC Watch&#8217;s Research Platform</a> for February Form D filings. Total values of investment are grouped by state and exclusive of pooled investment funds. </p><div>February Form D Investments by State</div> <script type="text/javascript" src="http://www.google.com/jsapi"></script><script type="text/javascript"> google.load('visualization', '1', {'packages': ['geomap', 'table', 'barchart']}); google.setOnLoadCallback(drawMap); function drawMap() { var data = new google.visualization.DataTable(); data.addRows(51); data.addColumn('string', 'State'); data.addColumn('number', 'Amount Invested'); data.setValue(0, 0, 'US-CA'); data.setValue(0, 1, 1512043470, '$10,000k'); data.setValue(1, 0, 'US-NY'); data.setValue(1, 1, 1010085955, '$10,000k'); data.setValue(2, 0, 'US-OH'); data.setValue(2, 1, 726501919, '$10,000k'); data.setValue(3, 0, 'US-MA'); data.setValue(3, 1, 597300642, '$10,000k'); data.setValue(4, 0, 'US-GA'); data.setValue(4, 1, 454771832, '$10,000k'); data.setValue(5, 0, 'US-TX'); data.setValue(5, 1, 264177153, '$10,000k'); data.setValue(6, 0, 'US-IL'); data.setValue(6, 1, 229758043, '$10,000k'); data.setValue(7, 0, 'US-FL'); data.setValue(7, 1, 181374603, '$10,000k'); data.setValue(8, 0, 'US-DE'); data.setValue(8, 1, 137216608, '$10,000k'); data.setValue(9, 0, 'US-OR); data.setValue(9, 1, 121620803, '$10,000k'); data.setValue(10, 0, 'US-CT'); data.setValue(10, 1, 107393265, '$10,000k'); data.setValue(11, 0, 'US-CO'); data.setValue(11, 1, 103832186, '$10,000k'); data.setValue(12, 0, 'US-WA'); data.setValue(12, 1, 87936926, '$10,000k'); data.setValue(13, 0, 'US-MD'); data.setValue(13, 1, 73853030, '$10,000k'); data.setValue(14, 0, 'US-LA'); data.setValue(14, 1, 70437446, '$10,000k'); data.setValue(15, 0, 'US-NJ'); data.setValue(15, 1, 67024915, '$10,000k'); data.setValue(16, 0, 'US-MI'); data.setValue(16, 1, 66429317, '$10,000k'); data.setValue(17, 0, 'US-WI'); data.setValue(17, 1, 64408474, '$10,000k'); data.setValue(18, 0, 'US-TN'); data.setValue(18, 1, 58973082, '$10,000k'); data.setValue(19, 0, 'US-PA'); data.setValue(19, 1, 44131792, '$10,000k'); data.setValue(20, 0, 'US-NC'); data.setValue(20, 1, 40890677, '$10,000k'); data.setValue(21, 0, 'US-VA'); data.setValue(21, 1, 34536108, '$10,000k'); data.setValue(22, 0, 'US-MN'); data.setValue(22, 1, 19341545, '$10,000k'); data.setValue(23, 0, 'US-WY'); data.setValue(23, 1, 19232730, '$10,000k'); data.setValue(24, 0, 'US-AZ'); data.setValue(24, 1, 18717412, '$10,000k'); data.setValue(25, 0, 'US-UT'); data.setValue(25, 1, 14758000, '$10,000k'); data.setValue(26, 0, 'US-NV'); data.setValue(26, 1, 10821250, '$10,000k'); data.setValue(27, 0, 'US-MO'); data.setValue(27, 1, 10364091, '$10,000k'); data.setValue(28, 0, 'US-NH'); data.setValue(28, 1, 9697462, '$10,000k'); data.setValue(29, 0, 'US-HI'); data.setValue(29, 1, 9380300, '$10,000k'); data.setValue(30, 0, 'US-KY'); data.setValue(30, 1, 8407000, '$10,000k'); data.setValue(31, 0, 'US-IN'); data.setValue(31, 1, 8255000, '$10,000k'); data.setValue(32, 0, 'US-SC'); data.setValue(32, 1, 8202000, '$10,000k'); data.setValue(33, 0, 'US-VT'); data.setValue(33, 1, 7103450, '$10,000k'); data.setValue(34, 0, 'US-RI'); data.setValue(34, 1, 7010000, '$10,000k'); data.setValue(35, 0, 'US-OK'); data.setValue(35, 1, 4499690, '$10,000k'); data.setValue(36, 0, 'US-KS'); data.setValue(36, 1, 3601636, '$10,000k'); data.setValue(37, 0, 'US-NM'); data.setValue(37, 1, 3500000, '$10,000k'); data.setValue(38, 0, 'US-MT'); data.setValue(38, 1, 3197000, '$10,000k'); data.setValue(39, 0, 'US-AL'); data.setValue(39, 1, 2465000, '$10,000k'); data.setValue(40, 0, 'US-DC'); data.setValue(40, 1, 2200000, '$10,000k'); data.setValue(41, 0, 'US-SD'); data.setValue(41, 1, 1792191, '$10,000k'); data.setValue(42, 0, 'US-NE'); data.setValue(42, 1, 395967, '$10,000k'); data.setValue(43, 0, 'US-ID'); data.setValue(43, 1, 324500, '$10,000k'); data.setValue(44, 0, 'US-IA'); data.setValue(44, 1, 277000, '$10,000k'); data.setValue(45, 0, 'US-MS'); data.setValue(45, 1, 113000, '$10,000k'); data.setValue(46, 0, 'US-ND'); data.setValue(46, 1, 0, '$10,000k'); data.setValue(47, 0, 'US-AR'); data.setValue(47, 1, 0, '$10,000k'); data.setValue(48, 0, 'US-AK'); data.setValue(48, 1, 0, '$10,000k'); data.setValue(49, 0, 'US-ME'); data.setValue(49, 1, 0, '$10,000k'); data.setValue(50, 0, 'US-WV'); data.setValue(50, 1, 0, '$10,000k'); var options = {}; options['region'] = 'US'; options['colors'] = [0xffffff, 0xd0d8c7, 0xc3cdb6, 0xb6c1a7, 0xadbb9c, 0x9dae8a, 0x98a983, 0x90a37a, 0x889c71, 0x84986b]; //greens options['dataMode'] = 'regions'; options['showRowNumber'] = 'true'; var formatter = new google.visualization.NumberFormat({prefix: '$', fractionDigits: 0}); formatter.format(data, 1); // Apply formatter to second column var container = document.getElementById('feb_map_canvas'); var geomap = new google.visualization.GeoMap(container); geomap.draw(data, options); var view = new google.visualization.DataView(data); view.setColumns([0, 1]); var table = new google.visualization.Table(document.getElementById('feb_table_sort_div')); table.draw(view); }; </script><style> .google-visualization-table-table {width:557px;} </style><div style="width: 557px; padding-top: 10px;"> <center> <div id="feb_map_canvas" style="background-color: #FFF;"></div> <div id="feb_table_sort_div" style="background-color: #FFF; margin-top: 15px;"></div> </center> </div>http://blog.secwatch.com/post/427023034http://blog.secwatch.com/post/427023034Thu, 04 Mar 2010 18:22:00 -0500vcform d<p>New York privately-owned tech companies were second behind California for raising the most funding as reported in Form-D&#8217;s in February. Coming in at just over $150 million, funding went to 16 companies. As a New York-based startup ourselves, we thought they deserved a shout out. </p> <p>Most companies who received funding are web-based startups, and Instant Information, Inc. raised the most with just under $120 million. Instant Information owns <a href="http://www.infongen.com">InfoNgen</a>, a real-time discovery engine for business, finance, and information professionals. Other New York companies receiving funding included <a href="http://www.yodle.com">Yodle</a>, a local online advertising provider, <a href="http://www.fynanz.com/">Fynanz</a>, a private student lending platform, <a href="http://www.energyhub.net/"> Energy Hub</a>, which produces cost-effective energy management tools, and <a href="http://www.tunesat.com/">Tunesat</a>, which tracks the use of music on broadcast television.</p> <p>Also on the list: <a href="http://www.webcollage.com/">WebCollage</a>, <a href="http://corp.kaltura.com/">Kaltura</a>, <a href="http://www.almondnet.com/">AlmondNet</a>, <a href="http://www.cellufun.com/">Cellufun</a>, Kamida (owner of <a href="http://socialight.com/">Socialight</a>), <a href="http://www.magnify.net/">Magnify</a>, <a href="http://www.wowowow.com/">Women on the Net</a>, <a href="http://www.reallysimple.to/">Really Simple</a>, and <a href="http://www.iconology.com/">Iconology</a>.</p>http://blog.secwatch.com/post/420939589http://blog.secwatch.com/post/420939589Mon, 01 Mar 2010 20:27:52 -0500form dtechvc<p>In light of Intel&#8217;s <a href="http://secwatch.com/filings/view.jsp?formid=7043288&amp;page=21&amp;snippetid=45b190b4-20bd-11df-9538-1231390044b1">recent disclosure</a> that they were the target of a cyber attack in January around the same time that Google was affected, we decided to see if this is a growing concern of companies. </p> <p>We found that 9 companies used the phrase &#8220;cyber attack&#8221; in their 2009 disclosures, while 35 companies have already used this phrase in the first two months of 2010 - a marked increase. </p> <p>While this search was by no means scientific, evidenced by Intel&#8217;s artful evasion of the term in their disclosure, it certainly says something. A recent <a href="http://secwatch.com/filings/view.jsp?formid=6959715&amp;page=3">8-K from Google</a> stated, &#8221; Like many other well-known organizations, we face cyber attacks of varying degrees on a regular basis&#8221; and several 2010 filings we looked at reported a growing prevalence of attacks.</p>http://blog.secwatch.com/post/407732644http://blog.secwatch.com/post/407732644Tue, 23 Feb 2010 17:53:01 -0500<p>Privately-held companies that raise capital are required to file a <a href="http://secwatch.com/filing-d">Form D</a> with the SEC to declare exempt offering of securities. We created the map below using data from <a href="http://secwatch.com/researchplatform.jsp">SEC Watch&#8217;s Research Platform</a> for January Form D filings. Total values of investment are grouped by state and exclusive of pooled investment funds. </p><div>January Form D Investments by State</div> <script type="text/javascript" src="http://www.google.com/jsapi"></script><script type="text/javascript"> google.load('visualization', '1', {'packages': ['geomap', 'table', 'barchart']}); google.setOnLoadCallback(drawMap); function drawMap() { var data = new google.visualization.DataTable(); data.addRows(51); data.addColumn('string', 'State'); data.addColumn('number', 'Amount Invested'); data.setValue(0, 0, 'US-CA'); data.setValue(0, 1, 1646194406, '$10,000k'); data.setValue(1, 0, 'US-OH'); data.setValue(1, 1, 545191691, '$10,000k'); data.setValue(2, 0, 'US-GA'); data.setValue(2, 1, 516922191, '$10,000k'); data.setValue(3, 0, 'US-TX'); data.setValue(3, 1, 505753128, '$10,000k'); data.setValue(4, 0, 'US-PA'); data.setValue(4, 1, 469813931, '$10,000k'); data.setValue(5, 0, 'US-NY'); data.setValue(5, 1, 423039133, '$10,000k'); data.setValue(6, 0, 'US-MD'); data.setValue(6, 1, 343996814, '$10,000k'); data.setValue(7, 0, 'US-MA'); data.setValue(7, 1, 307075942, '$10,000k'); data.setValue(8, 0, 'US-NC'); data.setValue(8, 1, 294946461, '$10,000k'); data.setValue(9, 0, 'US-CT'); data.setValue(9, 1, 221899475, '$10,000k'); data.setValue(10, 0, 'US-OR'); data.setValue(10, 1, 220551406, '$10,000k'); data.setValue(11, 0, 'US-VA'); data.setValue(11, 1, 216207431, '$10,000k'); data.setValue(12, 0, 'US-IL'); data.setValue(12, 1, 201903296, '$10,000k'); data.setValue(13, 0, 'US-FL'); data.setValue(13, 1, 133535854, '$10,000k'); data.setValue(14, 0, 'US-TN'); data.setValue(14, 1, 128056949, '$10,000k'); data.setValue(15, 0, 'US-WA'); data.setValue(15, 1, 125388144, '$10,000k'); data.setValue(16, 0, 'US-DE'); data.setValue(16, 1, 108786960, '$10,000k'); data.setValue(17, 0, 'US-NJ'); data.setValue(17, 1, 104576101, '$10,000k'); data.setValue(18, 0, 'US-WI'); data.setValue(18, 1, 75138514, '$10,000k'); data.setValue(19, 0, 'US-CO'); data.setValue(19, 1, 72356003, '$10,000k'); data.setValue(20, 0, 'US-MO'); data.setValue(20, 1, 36491111, '$10,000k'); data.setValue(21, 0, 'US-OK'); data.setValue(21, 1, 31865100, '$10,000k'); data.setValue(22, 0, 'US-AZ'); data.setValue(22, 1, 27482647, '$10,000k'); data.setValue(23, 0, 'US-KS'); data.setValue(23, 1, 27359248, '$10,000k'); data.setValue(24, 0, 'US-MI'); data.setValue(24, 1, 24604268, '$10,000k'); data.setValue(25, 0, 'US-RI'); data.setValue(25, 1, 20262270, '$10,000k'); data.setValue(26, 0, 'US-NH'); data.setValue(26, 1, 18288402, '$10,000k'); data.setValue(27, 0, 'US-KY'); data.setValue(27, 1, 18193831, '$10,000k'); data.setValue(28, 0, 'US-AL'); data.setValue(28, 1, 14201096, '$10,000k'); data.setValue(29, 0, 'US-HI'); data.setValue(29, 1, 13119260, '$10,000k'); data.setValue(30, 0, 'US-UT'); data.setValue(30, 1, 12700036, '$10,000k'); data.setValue(31, 0, 'US-SC'); data.setValue(31, 1, 12293600, '$10,000k'); data.setValue(32, 0, 'US-NM'); data.setValue(32, 1, 10477179, '$10,000k'); data.setValue(33, 0, 'US-MN'); data.setValue(33, 1, 7645634, '$10,000k'); data.setValue(34, 0, 'US-NV'); data.setValue(34, 1, 6786530, '$10,000k'); data.setValue(35, 0, 'US-ND'); data.setValue(35, 1, 6736600, '$10,000k'); data.setValue(36, 0, 'US-DC'); data.setValue(36, 1, 6039832, '$10,000k'); data.setValue(37, 0, 'US-IA'); data.setValue(37, 1, 5847500, '$10,000k'); data.setValue(38, 0, 'US-IN'); data.setValue(38, 1, 5785650, '$10,000k'); data.setValue(39, 0, 'US-VT'); data.setValue(39, 1, 5000004, '$10,000k'); data.setValue(40, 0, 'US-LA'); data.setValue(40, 1, 2925000, '$10,000k'); data.setValue(41, 0, 'US-MS'); data.setValue(41, 1, 2400256, '$10,000k'); data.setValue(42, 0, 'US-AR'); data.setValue(42, 1, 2212256, '$10,000k'); data.setValue(43, 0, 'US-NE'); data.setValue(43, 1, 1756000, '$10,000k'); data.setValue(44, 0, 'US-MT'); data.setValue(44, 1, 1430000, '$10,000k'); data.setValue(45, 0, 'US-AK'); data.setValue(45, 1, 382500, '$10,000k'); data.setValue(46, 0, 'US-ID'); data.setValue(46, 1, 293000, '$10,000k'); data.setValue(47, 0, 'US-ME'); data.setValue(47, 1, 82500, '$10,000k'); data.setValue(48, 0, 'US-SD'); data.setValue(48, 1, 42250, '$10,000k'); data.setValue(49, 0, 'US-WV'); data.setValue(49, 1, 0, '$10,000k'); data.setValue(50, 0, 'US-WY'); data.setValue(50, 1, 0, '$10,000k'); var options = {}; options['region'] = 'US'; options['colors'] = [0xffffff, 0xd0d8c7, 0xc3cdb6, 0xb6c1a7, 0xadbb9c, 0x9dae8a, 0x98a983, 0x90a37a, 0x889c71, 0x84986b]; //greens options['dataMode'] = 'regions'; options['showRowNumber'] = 'true'; var formatter = new google.visualization.NumberFormat({prefix: '$', fractionDigits: 0}); formatter.format(data, 1); // Apply formatter to second column var container = document.getElementById('jan_map_canvas'); var geomap = new google.visualization.GeoMap(container); geomap.draw(data, options); var view = new google.visualization.DataView(data); view.setColumns([0, 1]); var table = new google.visualization.Table(document.getElementById('jan_table_sort_div')); table.draw(view); }; </script><style> .google-visualization-table-table {width:557px;} </style><div style="width: 557px; padding-top: 10px;"> <center> <div id="jan_map_canvas" style="background-color: #FFF;"></div> <div id="jan_table_sort_div" style="background-color: #FFF; margin-top: 15px;"></div> </center> </div>http://blog.secwatch.com/post/378764293http://blog.secwatch.com/post/378764293Mon, 08 Feb 2010 17:40:00 -0500form dvc<p>Over $400 million of investments in January was reported in <a href="http://secwatch.com/filing-d/">Form D</a> filings for companies that primarily do business outside of the United States. Australia and Canada received the most investment, although investments in Canada were spread among the greatest number of companies. Out of the 53 Canadian companies that registered offerings, the majority were resource companies including oil, gas, and mining. Investments in Australia went to a mere three companies in health, technology, retail. </p> <script type="text/javascript" src="http://www.google.com/jsapi"></script><script type="text/javascript"> google.load('visualization', '1', {'packages': ['geomap', 'table', 'barchart']}); google.setOnLoadCallback(drawMapWorld); function drawMapWorld() { var data = new google.visualization.DataTable(); data.addRows(10); data.addColumn('string', 'Country'); data.addColumn('number', 'Total Amount Invested'); data.setValue(0, 0, 'Australia'); data.setValue(0, 1, 185042256, '$10,000k'); data.setValue(1, 0, 'Canada'); data.setValue(1, 1, 113266530, '$10,000k'); data.setValue(2, 0, 'Israel'); data.setValue(2, 1, 56364531, '$10,000k'); data.setValue(3, 0, 'Russia'); data.setValue(3, 1, 26512704, '$10,000k'); data.setValue(4, 0, 'Belgium'); data.setValue(4, 1, 17267812, '$10,000k'); data.setValue(5, 0, 'United Kingdom'); data.setValue(5, 1, 1725365, '$10,000k'); data.setValue(6, 0, 'Czech Republic'); data.setValue(6, 1, 390000, '$10,000k'); data.setValue(7, 0, 'France'); data.setValue(7, 1, 147010, '$10,000k'); data.setValue(8, 0, 'Austria'); data.setValue(8, 1, 104366, '$10,000k'); data.setValue(9, 0, 'Sweden'); data.setValue(9, 1, 85720, '$10,000k'); var options = {}; options['region'] = 'world'; options['colors'] = [0xffffff, 0xd0d8c7, 0xc3cdb6, 0xb6c1a7, 0xadbb9c, 0x9dae8a, 0x98a983, 0x90a37a, 0x889c71, 0x84986b]; //greens options['dataMode'] = 'regions'; options['showRowNumber'] = 'true'; var formatter = new google.visualization.NumberFormat({prefix: '$', fractionDigits: 0}); formatter.format(data, 1); // Apply formatter to second column var container = document.getElementById('map_canvas_world'); var geomap = new google.visualization.GeoMap(container); geomap.draw(data, options); var view = new google.visualization.DataView(data); view.setColumns([0, 1]); var table = new google.visualization.Table(document.getElementById('table_sort_div_world')); table.draw(view); }; </script><style> .google-visualization-table-table {width:557px;} </style><div style="width: 557px; padding-top: 10px;"> <center> <div id="map_canvas_world" style="background-color: #FFF;"></div> <div id="table_sort_div_world" style="background-color: #FFF; margin-top: 15px;"></div> </center> </div>http://blog.secwatch.com/post/378763230http://blog.secwatch.com/post/378763230Mon, 08 Feb 2010 17:40:00 -0500<p>We plan to showcase interesting data from SEC filings here, such as private equity investment by state, insider trading graphs and social relationships, and interesting filings and tidbits.</p> <p>If you have any suggestions on intersting blog posts gleaned from SEC filing data, please don&#8217;t hesitate to <a href="mailto:info@secwatch.com">let us know</a></p> <p>In the mean time, please check out our <a href="http://secwatch.com/about/stats.jsp">stats page</a> to see just how much data we are working with.</p>http://blog.secwatch.com/post/376599553http://blog.secwatch.com/post/376599553Sun, 07 Feb 2010 15:20:00 -0500