Welcome!

News Feed Item

Biglari Holdings Inc. News Release

San Antonio, TX, Jan. 24 /PRNewswire/ -- Biglari Holdings Inc. (NYSE: BH) announces its results for the fiscal first quarter of 2014.

Biglari Holdings Inc.'s earnings for the twelve weeks that ended December 18, 2013 are summarized below. To become fully apprised of our results, shareholders should carefully study our 10-Q, which has been posted at www.biglariholdings.com

 

(In thousands)



Twelve Weeks Ended


December 18,


December 19,


2013


2012









Pre-tax operating earnings

$           2,845


$          7,914

Biglari Holdings investment gains


1

Investment partnership gains

23,493


Interest expense

(1,474)


(1,737)

Income taxes

(8,373)


(1,543)

Other income from consolidated affiliated partnerships


(73)





Net earnings attributable to Biglari Holdings Inc.

$        16,491


$           4,562





Analysis of Results:

Biglari Holdings possesses investments in marketable securities directly as well as indirectly through investment partnerships.  Direct investments are carried at market value, with unrealized appreciation net of income tax effect included in a separate component of shareholders' equity.  On December 18, 2013, the amount of pre-tax unrealized investment gains was $40.4 million, which if harvested in any given quarter can materially impact and thereby distort net income figures without ramifications for the intrinsic value of the company. Investments held through investment partnerships affect our reported quarterly earnings based on their carrying value. Therefore, our operating businesses are best analyzed before the impact of investment gains/losses. As a consequence, in the preceding table we separate earnings of our operating businesses from our investment gains/losses. 

About Biglari Holdings Inc.

Biglari Holdings Inc. is a diversified holding company engaged in a number of business activities. Its most important operating subsidiaries are involved in the franchising and operating of restaurants. All major operating, investment, and capital allocation decisions are made by Sardar Biglari, Chairman and Chief Executive Officer, on behalf of the Company and its main operating subsidiaries.

Comment on Regulation G

This press release contains certain non-GAAP financial measures. In addition to the GAAP presentations of net earnings, Biglari Holdings defines pre-tax operating earnings outside of the investment gains/losses of the Company and its consolidated affiliated partnerships.

Risks Associated with Forward-Looking Statements

This news release may include "forward-looking statements" within the meaning of the Private Securities Litigation Reform Act of 1995 and other federal securities laws. These statements which may concern anticipated future results are based on current expectations and are subject to a number of risks and uncertainties that could cause actual results to differ markedly from those projected or discussed here. Biglari Holdings cautions readers not to place undue reliance upon any such forward-looking statements, for actual results may differ materially from expectations. Biglari Holdings does not update publicly or revise any forward-looking statements even if experience or future changes make it clear that any projected results expressed or implied therein will not be realized. Further information on the types of factors that could affect Biglari Holdings and its business can be found in the company's filings with the SEC.

SOURCE Biglari Holdings Inc.

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire 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.