News Feed Item

Renesas Electronics Reports Financial Results for the Third Quarter Ended December 31, 2013

Renesas Electronics Corporation (TSE:6723) today announced consolidated financial results for the three months and nine months ended December 31, 2013.

Summary of Consolidated Financial Results


Three months ended


Nine months ended


December 31, 2013

December 31, 2013

Billion Yen   % of Net Sales Billion Yen   % of Net Sales
Net sales 215.6 100.0 632.5 100.0
Sales from semiconductors 207.6 605.0
Sales from others 8.0 27.5
Operating income (loss) 30.0 13.9 50.7 8.0
Ordinary income (loss) 29.3 13.6 43.2 6.8
Net income (loss) 23.0 10.7 10.2 1.6
Capital expenditures 6.7 26.0
Depreciation and others 18.5 56.9
R&D expenses 24.8   89.2  
Yen Yen
Exchange rate (USD) 99 98
Exchange rate (Euro) 134   130  
  As of December 31, 2013
Billion Yen
Total assets 795.8
Net assets 252.2
Equity Capital 240.4
Equity ratio (%) 30.2
Interest-bearing debt 280.9
Note 1:   All figures are rounded to the nearest 100 million yen.
Note 2: Capital expenditures refer to the amount of order placed for property, plant and equipment (manufacturing equipment).
Note 3: Depreciation and others includes depreciation and amortization of intangible assets and amortization of long-term prepaid expenses in quarterly consolidated statements of cash flows.

Consolidated Financial Results for the Third Quarter Ended December 31, 2013

English translation from the original Japanese-language document

February 6, 2014


Company name


: Renesas Electronics Corporation

Stock exchanges on which the shares are listed

: Tokyo Stock Exchange, First Section

Code number

: 6723


: http://www.renesas.com


: Hisao Sakuta, Representative Director,

Chairman and CEO

Contact person

: Taizo Endo, Executive Manager

Corporate Communications Dept

Tel. +81 (0)3-6756-5552

Filing date of Shihanki Hokokusho (scheduled)

: February 6, 2014

(Amounts are rounded to the nearest million yen)

1. Consolidated financial results for the nine months ended December 31, 2013

1.1 Consolidated operating results


(% of change from corresponding period of the previous year)

    Net sales

income (loss)


income (loss)


income (loss)

Million yen   % Million yen   % Million yen   % Million yen   %

Nine months ended December 31, 2013











Nine months ended December 31, 2012










Reference:   Comprehensive income for the nine months ended December 31, 2013:     27,539 million yen
Comprehensive income for the nine months ended December 31, 2012: (153,083) million yen
  Net income (loss)   Net income (loss)
  per share basic per share diluted
Yen Yen

Nine months ended December 31, 2013




Nine months ended December 31, 2012




1.2 Consolidated financial condition

    Total assets   Net assets   Equity ratio
Million yen Million yen %
December 31, 2013 795,802 252,245 30.2
March 31, 2013 669,104 77,924 10.0
Reference:   Equity as of December 31, 2013:   240,365 million yen
Equity as of March 31, 2013: 66,744 million yen

2. Cash dividends

    Cash dividends per share

At the end of
first quarter


At the end of


At the end of
third quarter


At the end of

Yen Yen Yen Yen Yen
Year ended March 31, 2013 --- 0.00 --- 0.00 0.00
Year ending March 31, 2014 --- 0.00 ---    

Year ending March 31, 2014


      0.00 0.00
Note:   Change in forecast of cash dividends since the most recently announced forecast:   Yes
For details, please refer to page 7.

3. Forecast of consolidated results for the year ending March 31, 2014

(% of change from corresponding period of the previous year)

    Net sales  

income (loss)


income (loss)


Net income


Net income
(loss) per

Million yen   % Million yen   % Million yen   % Million yen   % Yen   %

Year ending March 31, 2014

822,500 4.7 54,700 -- 44,200 -- (21,800) -- (20.88) --
Note:   Change in forecast of consolidated financial results since the most recently announced forecast:   Yes
For details, please refer to page 7.

4. Others

4.1   Changes in significant subsidiaries for the nine months ended December 31, 2013  
(Changes in specified subsidiaries resulting in changes in scope of consolidation): Yes
(Note) For details, please refer to page 7.
4.2   Adoption of special accounting policies for quarterly financial statements:   Yes
(Note) For details, please refer to page 7.
4.3   Changes in Accounting Policies, Changes in Accounting Estimates and Corrections of Prior Period Errors
1. Changes in accounting policies with revision of accounting standard: No
2. Changes in accounting policies except for 4.3.1: No
3. Changes in accounting estimates: No
4. Corrections of prior period errors: No

Number of shares issued and outstanding (common stock)

1. Number of shares issued and outstanding (including treasury stock)

    As of December 31, 2013:   1,667,124,490 shares
As of March 31, 2013: 417,124,490 shares

Number of treasury stock

    As of December 31, 2013:   2,548 shares
As of March 31, 2013: 2,548 shares

Average number of shares issued and outstanding

    For the nine months ended December 31, 2013:   839,849,215 shares
For the nine months ended December 31, 2012: 417,121,942 shares

(Note) Information regarding the implementation of quarterly review procedures
These quarterly financial results are not subject to quarterly review procedures based upon the Financial Instruments and Exchange Act. The review procedures for the quarterly financial report have been completed by the time of issuance of this report.

Cautionary Statement

The statements with respect to the financial outlook of Renesas Electronics Corporation (hereafter “the Company”) and its consolidated subsidiaries are forward-looking statements involving risks and uncertainties. We caution you in advance that actual results may differ materially from such forward-looking statements due to changes in several important factors.

The Renesas Electronics Corporation and its consolidated subsidiaries (hereafter “the Group”) will hold a quarterly earnings conference for institutional investors and analysts on February 6, 2014. The Group plans to post the materials which are provided at the meeting, on the Group’s homepage on that day.

About Renesas Electronics Corporation

Renesas Electronics Corporation (TSE:6723), the world’s number one supplier of microcontrollers, is a premiere supplier of advanced semiconductor solutions including microcontrollers, SoC solutions and a broad-range of analog and power devices. Business operations began as Renesas Electronics Corporation in April 2010 through the integration of NEC Electronics Corporation (TSE:6723) and Renesas Technology Corp., with operations spanning research, development, design and manufacturing for a wide range of applications. Headquartered in Japan, Renesas Electronics Corporation has subsidiaries in approximately 20 countries worldwide. More information can be found at www.renesas.com.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.