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Capitalizing Versus Expensing Research and Development

4 min read

Capitalizing Versus Expensing Research and DevelopmentBased on statistics from the World Bank, the United States government spent 3.59 percent of its 2022 gross domestic product on research and development. While private businesses spend on their own research and development costs, it’s important for businesses to treat these expenditures appropriately.

When it comes to research and development outlays, U.S. Generally Accepted Accounting Principles (GAAP) dictate that businesses must expense them during the identical fiscal year as they’re consumed. Accordingly, this creates difficulties for investors and business owners alike in two ways. The first is more uncertain profitability and loss projections. The second is a murkier ability to quantify their rates of return on assets and investments.  

If R&D capitalization is minimal or non-existent by a company, it can imply the business’ total assets (or its total invested capital) doesn’t accurately represent how much has been put into such assets. This will affect the business’ Return on Assets (ROA) and Return on Invested Capital (ROIC). This illustrates the importance in differences of how businesses treat their R&D expenses – using the balance sheet to capitalize and the income statement to expense.

Accounting Standards

Per International Financial Reporting Standards (IFRS), research outlays are classified as expenses annually, like GAAP. However, development costs may be capitalized for businesses with assets under incubation for saleable purposes (in other words, the tech/IP is expected to be approved and produce revenue in the future).

One consideration with IFRS is that a portion of research and development costs may be capitalized or recorded as an asset on the business’ balance sheet, instead of classified as an expense on the Profit and Loss Statement. It’s important, though, to understand that judgment is in the eye of the classification as to how commercially viable a product or service will be in the future, potentially causing issues on the company’s financial statements. Since research and development is sporadic, it impacts a business’ profitability. It’s seen in certain sectors, such as consumer discretionary, healthcare, and technology, to highlight a few.

With revenue, cash flow, and profit expected from the long-term investment of research and development, for products or services with a realistic chance, it should be capitalized and not expensed. Investors need to be aware of the differences in how businesses capitalize or expense their research and development spending, since, without additional financial analysis, it’s important to factor in research and development equally. This is because companies that don’t capitalize experience more unstable earnings.

Exploring Capitalization Versus Expensing

To determine the value and to capitalize such assets, analysts must project the asset’s lifespan to produce benefits (over its economic life) and go with that projection for the amortization period.

Amortization life varies between assets and is based on the economic life of the particular asset. Ways to determine the economic life depend on both the asset’s patentability and/or salability. If there’s a pharmaceutical drug with a 20-year patent, it’ll likely have a much longer life than the next mobile device or graphic processing unit (GPU).

Assuming an asset has a life of six years, the business would amortize equally over the six-year time frame. There can be a multitude of amortization approaches, but the straight-line method is used for the capitalized research and development expenses. It assumes the following figures:

$200,000 spent on R&D

$40,000 residual value

Based on the difference of $160,000 and the six-year economic life, each year would result in approximately $26,666 in amortization expense. After six years, the resulting value would be $40,000 in residual value.

Conclusion

Understanding the importance of accounting for R&D outlays is helpful for businesses to maximize investments for competitiveness and financial compliance.

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7 Remote Jobs That Provide Training

4 min read

7 Remote Jobs That Provide TrainingIf you’ve ever longed for a remote job but weren’t sure how to make it happen, then take note. Not only are all these jobs work from home (WFH), but they also provide training. Some even provide the equipment and steady hours right from the start. Whether you’re between jobs or want to switch careers, check out these positions. One of them could be a perfect fit.

Amazon Virtual Customer Service Associate

With this job, you’ll get three to four weeks of paid training before you even start working with customers. Pretty great, right? They also teach you how to manage orders and solve issues using internal tools. In fact, you’ll be provided with a desktop computer, a microphone, and a headset. All you’ll need is reliable internet. You’ll interact with everyone from customers and drivers to shippers and Delivery Service Partners. Best of all, there’s no script to learn; they encourage you to be your authentic self. The job offers part-time and full-time options, and roles are open year-round across many parts of the United States.

Apple At-Home Advisor

For Mac lovers, this is your dream job because guess what you’ll get with this job? That’s right: a Mac – plus other tools to get started. Your training will be remote and paid. During this time, you’ll be introduced to product support, the accompanying issues customers fac,e and problems related to their orders. If you’re up for dealing with people, then this job is for you. Many advisors stay long-term, thanks to strong internal mobility and a supportive team culture.

Dell Remote Tech Support Specialist

If you’re a PC kind of person and comfortable with tech, Dell’s paid training will help you troubleshoot issues for customers right from home sweet home. You’ll also enjoy solid benefits and receive discounts on devices and tools. Lots of people climb the ladder, moving up into engineering or systems roles after gaining on-the-job experience.

Hyatt Remote Guest Services Associate

Ever called guest services when you’re at a hotel? If so, then these folks are likely who you talked to. During your paid training, you’ll receive all the equipment you need and learn how to not only assist customers, but also uphold brand standards, which translates to just being a decent, empathetic human. Many people find long-term stability here and, after some experience, move up into leadership roles.

Hilton Remote Reservations Sales Specialist

Four to seven weeks is all it takes to be trained for this job. It’s fully online and focused on helping you master their booking and support systems. After training, you’ll earn incentives and gain access to generous hotel discounts as a full employee. If you’ve got a travel bug, this is for you.

Prudential Financial Remote Customer Service Representative

This paid training can last up to 10 weeks, but afterward, you’ll be fully set up to understand their systems, policies, and customer needs. Should you become full-time, you’ll get 401(k) matching and tuition support. If you want to get your foot in the door with finances, this is a smart path, especially if you’re switching careers later in life.

Progressive Insurance Work-From-Home Claims Representative

In this position, you’ll be trained (and paid) to learn how to handle real-world claims. You’ll help customers recover after accidents while also gaining valuable experience in one of the country’s leading insurance firms. Better still, you’ll also have access to stock options and opportunities for advancement.

No matter where you are in your professional life, paid training is the way to go; it makes remote jobs so much easier to attain – and succeed in. So, if you’re ready to learn a new skill in the comforts of home, this kind of work might well be in your future.

Sources

15 Work-From-Home Jobs That Provide Paid Training – The Penny Hoarder

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How Businesses Can Build Disinformation Resilience

4 min read

What is Disinformation ResilienceThe digital landscape has rapidly advanced, fueled by generative AI and other transformative technologies. Although this has come with great opportunities, it has also introduced new strategic threats. Among these is disinformation. The World Economic Forum classifies misinformation and disinformation as a top global threat alongside conflict and environment in its 2025 global risks report. With generative AI becoming more sophisticated, threat actors (like deepfakes, voice cloning, viral hoaxes and AI-driven scams) are increasing in frequency and precision. Therefore, business leaders need to act fast to build disinformation resilience.

Why Disinformation Matters for Business

Disinformation is the intentional spread of false or misleading information with malicious intent. This is unlike misinformation, which is unintentional and often shared by individuals who believe it’s true. However, both can have serious consequences for a business.

Historically, disinformation mainly targeted political processes or public institutions. Today, this threat has expanded to the corporate world to become a strategic business risk.

For example, a deepfake video of a CEO announcing mass layoffs will likely affect a company’s stock price. While fake reviews – positive or negative – can also sway consumer decisions. A viral tweet might spark public backlash and disrupt operations. In the United States, billions of dollars have already been lost from disinformation created by deepfakes, with the figures expected to rise in the coming years.

Impact of Disinformation on Business Operations

Disinformation impacts a business in various ways, such as:

  • Financial risk – false narratives can manipulate market behavior or stock prices.
  • Reputation and trust – fabricated information can erode customer trust and brand credibility.
  • Internal noise – false information can lead to confusion or the unintentional spread of incorrect content.
  • Operational disruption – false reports may trigger emergency protocols, overreactions or divert resources from core objectives.
  • Regulatory and legal exposure – new laws hold platforms and even companies accountable for hosting or spreading harmful fake content.

Building a Proactive Disinformation Resilience Strategy

To effectively counter disinformation, businesses need a comprehensive strategy that integrates technological solutions, human intelligence, and proactive communication.

  1. Awareness and Training
    Employees are a great asset and at the same time can be a potential vulnerability. Therefore, all employees from frontline staff to C-suite should be aware of how disinformation works, know red flags, and be empowered to verify suspicious content. They should frequently undergo comprehensive training programs that focus on digital literacy, critical thinking, and fact-checking techniques.
  2. Monitoring and Detection Tools
    Early detection is crucial. It requires advanced monitoring tools that deploy AI-powered social listening, threat intelligence platforms, and real-time deepfake detection systems that analyze image, video, and audio content. Combining these tools with automated alerts enables a swift response before a false narrative spreads.
  3. Robust Internal Protocols
    Develop and enforce clear escalation protocols for suspected disinformation. These should detail a chain of command, verification steps, and PR responses. Employees must know whom to alert and how to safeguard systems quickly.
  4. Platform and Partnership Engagement
    Collaborate with social platforms, fact checkers, and cybersecurity firms to detect and report false content. This will also help build relationships with journalists and analysis firms to enable faster content removal and more credible public debunking.
  5. Trust-First Content Strategies
    Deploy blue-check verified accounts, metadata authentication, digital signature,s and watermarking. A business also may consistently share authentic updates, reinforce company values, and build a track record of transparency to strengthen stakeholder trust.

Policy and Regulatory Landscape

Governments worldwide are recognizing the gravity of this threat. New laws are emerging globally to hold platforms accountable and to protect individuals and businesses.

One example is the Take It Down Act, signed into law on May 19, 2025, which mandates the removal of non-consensual deepfakes. This sets a legal precedent for holding platforms responsible for hosting synthetic media that harms individuals or businesses.

Other legal frameworks are evolving globally with a focus on developing fact-checking and AI-usage policies. Businesses must stay informed of the latest regulations and ensure their internal policies are compliant.

Future Proofing with AI and Collaboration

While generative AI can be used wrongly, it is also a powerful tool in real-time detection and content verification. Since the fight against disinformation is a continuous journey of adaptation and vigilance, businesses must:

  • Integrate advanced detection systems into their security stack
  • Standardize watermarking across distributed content
  • Engage in multi-stakeholder alliances across industries and governments to share insights and define best practices

Conclusion

In an era where false information spreads faster than the truth, disinformation is no longer just a public concern but also a serious business risk. The threat landscape is evolving fast with deepfake scams and coordinated smear campaigns; hence, corporate strategy must evolve, too. Businesses have to build disinformation resilience through proactive systems, employee awareness, trusted communication channels, and ongoing vigilance.