Splunk, Inc. Reports Unaudited Consolidated Earnings Results for the Fourth Quarter and Year Ended January 31, 2015; Provides Earnings Guidance for the First Quarter of 2016; Revises Earnings Guidance for the Full Year of 2016
Feb 26 15
Splunk, Inc. reported unaudited consolidated earnings results for the fourth quarter and year ended January 31, 2015. For the quarter, the company reported total revenue of $147,392,000 compared to $99,910,000 a year ago. Operating loss was $57,099,000 compared to $32,484,000 a year ago. Loss before income taxes was $56,295,000 compared to $32,894,000 a year ago. Net loss was $57,028,000 compared to $32,631,000 a year ago. Basic and diluted net loss per share was $0.47 compared to $0.30 a year ago. Net cash provided by operating activities was $51,528,000 compared to $34,429,000 a year ago. Purchases of property and equipment were $2,750,000 compared to $2,043,000 a year ago. Non-GAAP operating income was $11,494,000 compared to $3,958,000 a year ago. Non-GAAP net income was $11,565,000 compared to $3,384,000 a year ago. Non-GAAP basic and diluted net income per share was $0.09 compared to $0.03 a year ago.
For the full year, the company reported total revenue of $450,875,000 compared to $302,623,000 a year ago. Operating loss was $215,810,000 compared to $78,307,000 a year ago. Loss before income taxes was $214,840,000 compared to $79,002,000 a year ago. Net loss was $217,116,000 compared to $79,008,000 a year ago. Basic and diluted net loss per share was $1.81 compared to $0.75 a year ago. Net cash provided by operating activities was $103,980,000 compared to $73,848,000 a year ago. Purchases of property and equipment were $13,950,000 compared to $9,308,000 a year ago. Non-GAAP operating income was $12,280,000 compared to Non-GAAP operating loss of $1,212,000 a year ago. Non-GAAP net income was $10,974,000 compared to non-GAAP net loss $3,087,000 a year ago. Non-GAAP basic and diluted net income per share was $0.09 compared to Non- GAAP basic and diluted net loss per share of $0.03 a year ago.
The company provided earnings guidance for the first quarter of 2016. For the first quarter, the company expects total revenues to be between $116 million and $118 million. Non-GAAP operating margin is expected to be between negative 2% and 4%.
The company updated earnings guidance for fiscal year 2016. For the full year of 2016, the company expects revenues to be approximately $600 million (was approximately $575 million per prior guidance provided on November 20, 2014). Non-GAAP operating margin is expected to be between 2% and 3%. The company is playing for approximately $50 million in total CapEx in fiscal 2016, weighted about $20 million in the first half and $30 million in the second.
Yahoo Selects Hunk for Hadoop Analytics of Splunk Inc
Feb 17 15
Splunk Inc. announced that Yahoo has implemented Hunk Splunk Analytics for Hadoop and NoSQL Data Stores and SplunkÂ® Enterprise. With a Hunk enterprise adoption license, Yahoo employees use Hunk to explore, analyze and visualize data from its Hadoop environment, which stores more than 600 petabytes of data. Yahoo teams are also analyzing more than 150 terabytes of machine data per day in Splunk Enterprise for use cases including IT operations, applications delivery, security and business analytics. Splunk Enterprise and Hunk help gain insights into all of data, whether it is streaming in real time or historical data at rest. Hunk gives Yahoo deep visibility into massive Hadoop data stores to help continuously optimize operational performance. Insights the company gain from Hunk help save millions of dollars per year in hardware provisioning. Splunk Enterprise helps to maximize revenue by giving product and business teams better insight into customers, the user experience and any looming issues. Hunk is a full-featured, integrated analytics platform built so everyone in an organization can interactively explore, analyze and visualize big data, regardless of where the data is stored. Hunk was brought into Yahoo to track and improve the overall performance and stability of its grid system. With a focus on expanding Hunk in a self-service fashion across the enterprise, Yahoo is currently using Hunk in its grid operations group in addition to several other product teams. Hunk helps Yahoo track system metrics from all of its clusters by region, visually browse complex tables, gain historical resource insights, improve data job service level agreements (SLAs), cut down development cycles, and search and troubleshoot IT issues in the grid system in real time. Yahoo has been a Splunk customer for several years and is also using Splunk Enterprise to help the company's IT operations, infrastructure, products and security teams gain insights into Yahoo's product lines. Users analyze and visualize real-time and historical data to learn about customer preferences, user experience, click rates, performance and IT workflow issues, advertising and marketing campaign popularity, product feature usage and more. Yahoo's expansion to an enterprise adoption license for Splunk Enterprise will empower more business and product teams to gain even more insights from Yahooâ s massive amounts of business and operational data.
Shazam Uses Splunk® Enterprise
Feb 12 15
Splunk Inc. announced that Shazam is using Splunk® Enterprise to deliver key business insights to its sales force and advertising partners to drive more effective campaigns. Employees throughout the organization, including product managers and engineers, also rely on Splunk Enterprise to enhance app performance and increase user engagement. Shazam regularly delivers analytics from Splunk software to its sales force and advertising partners to better understand campaign effectiveness. The dashboards include statistics such as counts of product information requests, the geographic location of tags, device type, operating system, broad user trends and real-time purchasing patterns. Shazam's engineering team uses Splunk software to monitor and measure the impact of every change to the Shazam app, during the test stage and once the app is released in production. For example, Shazam released a new home screen for the app and relied on Splunk Enterprise to assess the optimal placement of individual tiles to maximize user engagement.