Defining and Calculating Amortization

noticeable differences for each method, including how to salvage value is considered, whether accelerated expensing is allowed, and how each type is expressed on financial statements.

Amortization

Amortization is an accounting practice of spreading the cost of an intangible asset over its useful life. Examples of intangible assets, according to the Internal Revenue Service’s “Section 197 Intangibles,” include goodwill, intellectual property such as trademarks, patents, and government or agency-granted permits or licenses. These are all assets that must be amortized over 15 years.

Based on IRS regulations, when it comes to determining how an asset is expensed over its useful life, amortization is most similar to the straight-line basis method of depreciation. 

It’s important to note that the timeframe of amortization is subject to interpretation. Examples, according to the IRS, include a 36-month amortization timeline for computer software because it’s not categorized as an asset under the same IRS Section. Other examples not mandated to be amortized under a 15-year time frame include interests to land, business partnerships, financial contracts (such as interest rate swaps) or creation of media. 

Depreciation

One of the main differences when it comes to depreciation is that it focuses on tangible or fixed assets and requires a certain percentage of its useful life to be allocated each year. Examples of assets that can be expensed include trucks for service calls, computers, printers, equipment for production, etc. Another important difference is that the asset’s salvage value is deducted from the asset’s starting cost. The remaining balance (original cost – salvage cost) determines annual expensing amounts, which is divided by the asset’s years of useful life.

Along with the above method of depreciation, also called “Straight-Line Method,” there are other ways depreciation can determine how much is expensed annually and over the asset’s useful life. For example, Declining Balance or Double Declining Balance methods are alternate ways businesses can depreciate their assets – some frontload the amounts to take advantage of accounting/tax rules to reduce their tax liabilities. Another way is to depreciate via Units of Production. This method pro-rates the level of an asset’s expected use within a particular accounting period, on a per-unit basis, to determine how much the company can expense during a particular accounting timeframe.

When it comes to accounting for goodwill, according to a November 2020 electronic survey of CFA charter holders by the CFA Institute, respondents found that investors who see amortization used by companies still require investors’ due diligence. Sixty-one percent of respondents said there need to be alternate ways to figure out if management is effective or not, and 63 percent said that amortization “distorts financial metrics.”

When it comes to understanding and navigating the differences between amortization and depreciation, business owners and investors need to be well-versed in performing due diligence to ensure compliance.

Sources

https://www.irs.gov/pub/irs-pdf/p535.pdf

https://www.cfainstitute.org/en/research/survey-reports/goodwill-investor-perspectives

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Quantum Computing Uses That Solve Business Problems

Quantum Technology Monitor, funding from private and public sectors for this new technology is skyrocketing worldwide.

How it Works

Unlike classical computing, whose information is encoded by bits, in quantum computing a qubit is the basic unit of quantum information. Qubit allows all combinations of information to exist simultaneously so that quantum computers can solve problems exponentially faster and with less energy consumption than classical computers.

In 2019, Google, in partnership with NASA, achieved quantum supremacy by demonstrating that quantum computers can compute in seconds what would take advanced supercomputers thousands of years.

Advanced development in this technology has also seen the introduction of quantum-computing cloud infrastructure through Quantum as a Service (QaaS). QaaS provides access to quantum computing platforms over the internet to customers. Major technology companies, such as Amazon, Alibaba, IBM, Google, and Microsoft, have already launched commercial cloud services for quantum computing.

With the continued increase in the quantum computing ecosystem and emerging business use cases, business leaders must stay aware and prepare to adopt the new technology.

Business Use Cases for Quantum Computing

1. Quick Data Analytics

Today more than ever, businesses are faced with big data and a large quantity of information requiring analysis and storage. Since classical computers are built to solve one task at a time, it takes longer to solve these complex problems.

However, quantum technology has the potential to turn complex computations into simple calculations that are solved in less time.

2. Optimize Investment Strategies

Optimization is all about finding the most ideal solution in a situation. When many options are available, it takes a classical computer a long time to find a solution. Therefore, classical computers use shortcuts, and the final solution is partly optimal. But, with quantum computing, there will be better optimization.

3. Better Forecast and Prediction

Businesses rely on forecasts and predictions generated after analyzing complex and large data sets. Quantum computing is built to process huge amounts of data quickly and more accurately. As a result, better forecasts and predictions will enable better decision-making.

4. Solve Problems With Financial Services

There are various computationally intensive jobs in finance that could be facilitated by quantum computing, such as credit-risk management, financial crime reduction, and trading strategy optimization. These tasks will greatly benefit from quantum algorithms that increase the speed of financial calculations.

5. Improve Data Security

Quantum computers are built to break encryptions that ordinary computers cannot. This might become a problem if hackers were to acquire encrypted data and store it until large-scale quantum computers are operational. To handle this problem, postquantum cryptography, a type of cyber security that can be used by conventional computers, is currently being developed. Therefore, a switch to quantum-resistant cryptography will prevent the possibility of data being exposed. At the same time, it will ensure better protection of digital assets.

Final Thoughts

Quantum computers will not replace classical computers; however, the two will form a hybrid solution whereby each task will be assigned to the most suitable machine – either quantum or classical.

Achieving the aforementioned benefits will require businesses to have teams of experts who are knowledgeable about the implications of quantum computing and who can recognize the company’s potential future needs, opportunities, and vulnerabilities.

With signs of commercial quantum computing becoming a reality, it’s not too early for business leaders to consider how it will encourage digital investment, reshape industries and ignite innovation. Therefore, having a thorough understanding of quantum applications is essential for positioning a business to gain a competitive edge.

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