How to Account for Bad Debt Expense

3 min read

How to Account for Bad Debt ExpenseBad debt expense is an important concept that businesses must account for when it comes to their financial reporting. Regardless of the timeframe a company accounts for, it helps companies determine what portion of their receivables are collectible and what portion are not – and therefore, a bad debt expense. Depending on the receivables’ amount, this bad debt expense can take the form of either the allowance method or the direct write-off method.

Direct Write-Off Method Explained

While a company can see its receivables increase quickly, collections of these receivables might not be possible in the future due to client defaults. The direct write-off method is recommended for accounts with nominal amounts in question. A company’s receivables account sees an immediate write-off with this method. This lowers a company’s revenue, reducing net income. When it comes to accounting for it properly, the journal entry for the direct write-off method is as follows:

 
Description Debit Credit
Bad Debt Expense $500  
Accounts Receivable – ABC Business   $500

Description: Uncollectible ABC Account

Therefore, the journal entry would debit $500 to the Bad Debt Expense and credit $500 to the Accounts Receivable for the ABC Account.

Allowance Method

When it comes to more substantive or material amounts, businesses are inclined to use the Allowance Method because it’s set up to interact well with contra asset accounts that offset accounts receivable. Reported on the balance sheet, a contra asset account has an opposite balance to accounts receivable, and the journal entry is as follows:

Assets

Cash: $500,000

Accounts receivable: $300,000

Less: Allowance for doubtful accounts: $25,000

Equipment: $200,000

Less Accumulated Depreciation: $5,000

Building: $100,000

Less Accumulated Depreciation: $15,000

Since there’s zero impact on income statement accounts, contra accounts are advantageous for companies to use since the revenues aren’t lowered from a direct loss that bad debt expenses can cause with other methods.

When it comes to the Allowance Method in action, the three components are as follows:

First Step: Assess the uncollectible receivables

This is done by either determining the percentage of sales or by the percentage of receivables.

Percentage of Sales Method

This is usually determined by taking a percentage of either net or total credit sales. It’s generally dictated by past trends (both internal and macro economy forecast). For example, 2 percent of $10,000,000 = $200,000.

Percentage of Receivables

This method works by looking at the aging schedule for receivables, including those that are due but not yet late. For example, the receivables that are not late but not yet paid can have a low percentage for the particular bucket. Each successive and later bucket of unpaid receivables would require a higher percentage estimated as uncollectible.

Second Step: Journal entries are notated by entering the bad debt expense as a debit and the allowance for doubtful accounts as a credit.

Third Step: After an account is considered permanently uncollectible, the last two entries are as follows:

Description Debit Credit
Bad Debt Expense $250  
Allowance for Doubtful Accounts   $250
Description Debit Credit
Allowance for Doubtful Accounts $250  
Accounts Receivable – ABC Business   $250

Conclusion: The Importance of Calculating Bad Debt Expense

When it comes to determining a company’s results, it is required in their financial statements. If a company does not include this information, their assets could be inflated, potentially leading to overstating their net income. Calculating bad debt expense also helps companies determine which customers have defaulted on past bills, while at the same time highlighting customers that pay on time.

When it comes to accounting for bad debt expense, businesses that are experts at the two methods can effectively navigate the needs of internal and external audiences.

Cash Flow Available for Debt Service (CFADS)

3 min read

Cash Flow Available for Debt Service (CFADS)When it comes to the risk of default, Moody’s found that during COVID-19, American businesses had a 7.8 percent chance of defaulting. This is compared to a low of 4 percent in 2021, but lower than the current 9.2 percent risk of default, according to a March 2025 report by the rating agency.

Also known as cash flow available for debt service, CFADS determines how much cash is available to service debt obligations. It looks at different cash inflows/outflows to show both internal (owners and managers) and external audiences (investors) how efficient (or not) a business is in its ability to produce cash flows and manage its debts without defaulting.

While one method businesses use is balancing client sales, it is also common to look at various accounting entries, including Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA). The results of CFADS are often used by financial analysts when creating coverage ratios, including the project life coverage ratio (PLCR), the debt service coverage ratio (DSCR), and the loan life coverage ratio (LLCR). It can sometimes take the place of EBITDA in certain circumstances. It’s important to note that the three coverage ratios show how well a plan is able to service and not default on debt throughout the entire project’s period.

For example, the DSCR = CFADS / Scheduled Debt Service (Interest + Principal Obligations)

Once this is calculated based on the company’s project specifications, if the result is greater than 1, then it signifies and gives greater confidence to internal and external audiences that the company will be able to meet its milestones and final payments.

The most efficient formula for calculating CFADS is as follows:

EBITDA – Taxes – Positive or Negative Result of Working Capital – Capital Expenditures for Maintenance Only

$200,000 (EBITDA) – $30,000 (Taxes) + $20,000 (assuming there’s a negative $20,000 change in working capital) – $40,000 (assuming the capital expenditure investing in maintenance)

CFADS = $150,000

Sometimes the calculation includes dividends, which need to be factored into the calculation. This example assumes it is not part of the calculation.

Interpreting Results

It’s important to understand that a more detailed analysis helps all audiences determine if the projected cash flow is available for different claimants of the business. While most of the calculations are done via the waterfall model, it’s important to analyze it based upon senior and junior debt, along with equity. If a company declares bankruptcy, senior debt holders are the first priority to be made whole (or as whole as possible, depending on the circumstances). Senior debt is collateralized or secured with company assets that are sold off during bankruptcy. From there, junior debt holders are next in line, followed by convertible note holders, then preferred stockholders, and finally common stockholders.

While this calculation is only one part of the way internal and external stakeholders can measure a company’s financial health, with the chance of more firms defaulting on debt, it’s another tool in a financial analyst’s toolbox.

Deepfake Detection in Voice and Video

5 min read

Deepfake Detection in Voice and VideoDeepfakes are becoming more convincing than ever. Whether manipulated media or entirely generated by artificial intelligence (AI), deepfakes can now realistically alter faces and clone voices. They can even fabricate entire scenarios across video, audio, and text. Unfortunately, these developments now create significant challenges, and people can no longer trust what is presented online. Methods that have in the past been used to detect less-perfect deepfakes are becoming obsolete. There is now an urgent need to develop more effective detection solutions.

The Escalating Threat

Deepfakes are being actively used in malicious ways. It is being used to fuel misinformation, enable new forms of fraud, and erode the foundations of digital trust. An Identity Fraud Report 2024 by Sumsub noted a four times increase in the number of deepfakes detected worldwide from 2023 to 2024. A research study by iProov tested 2,000 UK and US consumers, revealing that only 0.1 percent of the participants accurately distinguished between real and fake content. These are only a few statistics on the severity of the deepfake problem.

Limitations of Current Detection

There are various tools and technologies available for detecting deepfakes, ranging from manual forensic analysis to automated AI-based solutions. These methods rely on identifying issues such as inconsistencies in blinking patterns, facial warping, extra limbs, or audio glitches. However, new AI models creating deepfakes have advanced to minimize these problems.

Therefore, relying on known flaws to detect deepfakes is not a sustainable strategy in an ever-evolving landscape.

Innovations in Detection Modalities and Speed

Innovation in deepfake detection requires an approach that will address the complexity and diverse nature of modern synthetic media. The new innovations must move beyond analyzing just one type of media.

  • Multi-Modal Detection – The latest deepfakes are multi-modal and can manipulate video, audio, and even accompanying text simultaneously. Therefore, detection software must have the capability to analyze these elements together.
  • Focus on Voice and Audio – This is especially crucial in detecting sophisticated voice deepfakes used in scams. New software is being built to analyze subtle vocal characteristics, background noise inconsistencies, and even speech patterns in combination with any available video to verify authenticity.
  • Real-Time and Scalable Solutions – There is a need for advanced systems that can detect deepfakes quickly and efficiently in livestreams and large volumes of content. Detection system developers must develop algorithms and infrastructure capable of this speed and scale.

Advancements in AI for Deepfake Detection

AI is playing a major role in the development of next-generation detection software that is beyond simple artifact detection to more sophisticated analysis.

  • Leveraging Foundation Models – Researchers are exploring large, pre-trained AI models that are behind many generative tools. Since these models are trained with vast amounts of data, they understand natural media. They can be fine-tuned and incorporated into detection software to help spot deviations that indicate synthetic origin.
  • Proactive and Generative Approaches – Some innovations are proactive, where generative models are being used to understand how fakes are made. This will allow detectors built into software platforms to anticipate and identify novel manipulation techniques even before they become widespread.
  • Towards more Robust and Explainable AI – Software development is also focusing on robustness against adversarial attacks. New training methods are being implemented to make detection software more resilient to deliberate attempts at evasion. There is also a push for Explainable AI (XAI) within detection software. This will help users understand why a piece of media was flagged.

Authentication and Verification Beyond Pure Detection

Advanced detection is bound to be challenged; therefore, next-generation solutions are incorporating methods for authentication and verification built into software systems.

  • Blockchain and Media Provenance – Exploring how blockchain technology can be utilized to create immutable records of media origin and any subsequent changes.
  • Human Element and Crowd-Sourcing – Integrating human expertise as a judgment of human expertise will help in complex cases. Crowd-sourcing expertise is also being explored as a way for platforms to scale human review.
  • Detecting Deepfakes in New Frontiers – As digital interactions move into new spaces like virtual worlds and the metaverse, detection software for these platforms is also necessary. This will help identify manipulated avatars and synthetic content within the immersive environments.
  • International Collaboration and Standards — fighting deepfakes is a global challenge, as synthetic media can easily spread worldwide. Therefore, collaboration among international researchers, governments, and technology companies is crucial. To accelerate the development and deployment of effective countermeasures, the involved parties can share data on new deepfake techniques and detection methods, as well as common technical standards.
  • Public Awareness and Digital Literacy – educating the public on how deepfakes are created and what to look for empowers them not to be duped by fakes. Promoting digital literacy helps people evaluate online content more skeptically and understand the importance of verified sources.

Conclusion

The race between deepfake generation and detection will undoubtedly continue. The ongoing development and deployment of sophisticated detection software is an important step toward safeguarding the integrity of digital media and preserving trust in everyday digital interactions. To deal with the escalating deepfake threat, passive defense is insufficient. Therefore, it is recommended to prioritize adopting integrated, next-generation detection software and verification methods to safeguard operations and trust.

7 Ways to Teach Your Kids to Save

3 min read

7 Ways to Teach Your Kids to SaveOf all the things you teach your kids when they’re young, saving money just might be one of the most important. Teaching them to delay gratification could help them avoid unnecessary spending and help them learn to value controlling their money. Here are some tips you can use to educate them about this crucial life skill.

Discuss Wants Versus Needs

Often, when your child says, “I need this” he really means “I want this.” Should you hear this, think of it as an opportunity to help him understand the difference between the two. You might explain that a need includes food, shelter, and clothing, while a want is an extra like candy, video games, or the latest pair of sneakers. You can even quiz children at home by pointing out things and asking them if they are needs or wants. This tool can work wonders.

Allow Your Kids to Earn Money

Whether it’s raking leaves or cleaning the house, chores are one of the best ways to teach young ones both the value of work and the value of money – and saving it.

Create Savings Goals

Telling kids that saving money is important might fall on deaf ears. That’s why helping them decide on a goal to work toward is a great way to demonstrate how saving works. It can be a bike, a phone – anything that they want. Helping them track their money can build motivation to continue their chores, with the pot at the end of the rainbow in sight.

Set Up a Savings Place

For younger kids, a piggy bank or mason jar is perfect. For older kids, a savings account or debit cards are smart ideas. To get a feel for what’s out there, here’s a list of the best high-yield savings accounts. If a debit card works better for you, check out FamZoo, Greenlight, or gohenry. All of these apps will even notify you when a purchase is made!

Offer Incentives

Let’s say your child wants to buy a $400 tablet. Offer to match a percentage of what they’ve saved. Or you can offer a $50 bonus when they reach a milestone number, like $200. When they know this up front, there’ll be no stopping them.

Become Their Creditor

If your kid really, really wants something and is too impatient to wait, lend them the money and charge them interest. This way, they learn a valuable lesson: Saving means delaying gratification for a longer amount of time, but if you wait, the item you want to buy will end up costing less.

Let Them Make Mistakes

Putting your kids in charge of their money allows them to make mistakes and learn from them. While you might want to take control and prevent a costly mistake, it might be better to use the error as a teachable moment.

The takeaway from all these saving tips is teaching kids to live within their means. In our day and age, when prices keep going up, it’s one of the best gifts you can give them.

Sources

10 Tips to Teach Your Child to Save Money

As Tax Season Opens, We Must Stay Alert to Rising Scam Threats

3 min read

IRS Scam Threats, IRS IRS Scams As tax filing season begins, scammers are ramping up efforts to steal taxpayers’ personal information through increasingly sophisticated schemes. Below, we discuss the latest scam, what to look out for in general, and what to do if you suspect something malicious.

New Scam of the Season

The U.S. Treasury Inspector General for Tax Administration (TIGTA) recently issued an alert about a prevalent scam involving Economic Impact Payments.

In this scheme, taxpayers receive texts claiming they’re eligible for a $1,400 Economic Impact Payment, requesting personal information and bank details for deposit. While the IRS is indeed processing some legitimate Recovery Rebate Credit payments from 2021 tax returns, they will never request personal information via text or social media. These legitimate payments will be automatically distributed by late January 2025, either through direct deposit or paper check, with official notification letters sent separately.

Detecting Scam in General

The cybersecurity firm Guardio reports a 77 percent increase in IRS-related spam messages, highlighting how scammers exploit taxpayers’ fears of making mistakes on their returns. Common manipulation tactics include urgent messages claiming:

  • Tax return errors requiring immediate action to avoid penalties
  • Unexpected tax refund eligibility requiring verification
  • Account flags demanding immediate information verification to prevent legal action

These fraudulent messages typically contain malicious links designed to steal sensitive information like Social Security numbers, banking details, and payment credentials. They often masquerade as official IRS forms or legitimate tax advisory companies.

Key Warning Signs of Tax Scams:

  • Requests for sensitive personal or financial information
  • Links to suspicious websites (legitimate government sites end in .gov)
  • Misspellings, grammatical errors, or inconsistent formatting
  • Fuzzy or distorted official logos
  • Initial contact via email, phone, text, or social media instead of postal mail

What to Do if You Receive a Suspicious Message

If you receive a suspicious message, don’t engage with it. Never click links or provide personal information to unknown sources. Report potential fraud by forwarding the message to phishing@irs.gov or filing a report with TIGTA. If you’re uncertain about correspondence claiming to be from the IRS, verify it by calling 800-829-1040 or visiting IRS.gov. Your online IRS account will display any official notices mailed to you.

If you’ve accidentally engaged with a scam:

  1. Immediately close any suspicious website tabs
  2. Change passwords for potentially compromised accounts
  3. Contact your bank or credit card provider to monitor for fraudulent activity
  4. Report the incident to the IRS and file an identity theft report with the Federal Trade Commission
  5. Consider notifying local law enforcement

When searching for tax-related information online, only use official sources like IRS.gov or the official IRS app. Be wary of sponsored ads and search results that might lead to fraudulent websites. Consider bookmarking official sites for quick, secure access.

Conclusion

Remember, the IRS will never initiate contact through email, text, or social media. When in doubt, assume it’s a scam and verify through official channels. Keeping your personal information secure requires constant vigilance, especially during tax season when scammers are most active.

 

Understanding IRS Forms 1099 for Lawsuit Settlements

3 min read

Understanding IRS Forms 1099 for Lawsuit SettlementsThe Basics of Tax Reporting in Legal Settlements

When you collect a settlement for a lawsuit, you’ll likely also receive a Form 1099 from the IRS. This form serves as a reminder to pay taxes on your settlement; copies are sent to both you and the IRS. These forms match reported income for income tax purposes, making them critical for accurate tax filing.

In lawsuit contexts, two common forms 1099 are issued:

  • Form 1099-MISC: This version can include various types of settlement payments, often termed other income
  • Form 1099-NEC: Used specifically for non-employee compensation

Understanding the Difference Between Forms

The distinction between these forms is significant. A Form 1099-NEC informs the IRS that taxes for self-employment should be collected in addition to income taxes. This form is appropriate if you were a non-employee contractor suing for unpaid compensation.

However, in cases like wrongful termination or emotional distress claims, you’ll want the non-wage portion reported on Form 1099-MISC instead of Form 1099-NEC to avoid unnecessary self-employment taxes. Pay close attention because filing an incorrect form can be difficult to correct later.

Double Reporting: When 100% Becomes 200%

A surprising aspect of legal settlement tax reporting is that defendants often issue forms 1099 totaling 200% of the actual settlement amount.

  • The plaintiff receives a 1099 for 100% of the settlement
  • The plaintiff’s attorney receives a 1099 for 100% of the settlement

This duplicate reporting occurs because the IRS requires defendants to report the full settlement amount to both parties when payments are made jointly or through the attorney’s trust account. This is done because the defendant may not be aware of how the money is ultimately divided between client and attorney.

Legal Fees and Tax Treatment

The U.S. Supreme Court decided in the case Commissioner v. Banks that gross income for a plaintiff typically includes the part of the settlement paid to their attorney as legal fees. This means you might be taxed on money you never actually received.

To address this issue, plaintiffs should understand when they can deduct legal fees:

  • Plaintiffs in employment cases, civil rights cases, and most whistleblower cases qualify for deductions
  • Legal fees must typically be paid in the same year as the settlement (as in contingent fee arrangements)
  • Outside these case types, deducting legal fees becomes much more difficult
  • Even in personal physical injury cases, complications arise if punitive damages or interest are awarded

Tax Planning Before Settlement

It’s best to deal with tax reporting before finalizing your settlement agreement. Consider these strategies:

  1. Include specific provisions about which forms 1099 are to be issued
  2. Specify the recipients, amounts, and even which boxes should be completed on the forms
  3. For physical injury cases that should be tax-free, get written commitments about tax reporting
  4. Consider separate checks to lawyer and client when appropriate (though this may not fully prevent attribution of legal fees to plaintiffs)

Without express provisions in your settlement agreement regarding tax forms, correcting any errors later becomes extremely difficult.

Tax-Free Settlements

Some settlements can be totally free of taxation, such as cases where compensation is granted as damages for physical injury. In typical injury cases like auto accidents, damages should be tax-free, but only if there are no punitive damages and no interest as part of the settlement.

Even when you believe your settlement qualifies as tax-free, securing written confirmation about tax reporting in your settlement agreement provides important protection.

Conclusion

Understanding the tax implications of your lawsuit settlement before signing an agreement can save significant headaches and potentially reduce your tax burden. Consulting with a tax professional who specializes in legal settlements is advisable for complex cases.

Preventing a Government Shut Down, Rolling Back Regulations and Clarifying Cryptocurrency Protocols

3 min read

Preventing a Government Shut Down, Rolling Back Regulations and Clarifying Cryptocurrency ProtocolsFull-Year Continuing Appropriations and Extensions Act, 2025 (HR 1968) – In the nick of time before the midnight deadline that would have otherwise shut down the Federal government, Congress passed a budget bill to fund the rest of the fiscal year that ends Sept. 30. This bill increases funding for the military by $6 billion while reducing non-defense spending by $13 million. The federal funding bill also reduced the amount of funding for the District of Columbia (Washington D.C.) by $1.1 billion, which is paid for by local taxes. This final continuing resolution bill was passed in the House on March 11, in the Senate on March 14, and signed by the president on March 15.

District of Columbia Local Funds Act, 2025 (S 1077) – Just four hours after passing the CR budget bill, Senators passed this new bill to restore Washington funding back to 2024 levels. The reduction of more than $1 billion in funding threatens to impact police, fire, and other services in the city where much of Congress resides. The bill was introduced by Susan Collins (R-ME) and passed on March 14. It is currently under consideration in the House.

Bureau of Ocean Energy Management rule relating to “Protection of Marine Archaeological Resources” (SJ Res 11) – This resolution rolls back a rule imposed during the last administration by the Bureau of Ocean Energy Management. The revoked rule previously required oil and gas companies to identify and submit a report of potential archaeological resources on the Outer Continental Shelf seafloor that could be affected by development. The joint resolution was introduced by Sen. John Kennedy on Feb. 4. It passed in the Senate on Feb. 26 and in the House on March 6. The bill was signed by the president on March 14.

Protect Small Businesses from Excessive Paperwork Act of 2025 (HR 736) – Introduced by Rep. Zach Nunn (R-IA) on Jan. 24, this legislation passed in the House on Feb. 10 and is currently under consideration in the Senate. The purpose of the bill is to extend the filing deadline to the end of the year for businesses to report beneficial ownership information (BOI). This would give the Department of Treasury time to reconsider rules implemented during the Biden administration in order to make sure small businesses are not burdened by excessive and complex regulations. 

GENIUS Act of 2025 (S 919) – This bipartisan bill was introduced by Sen. Bill Hagerty (R-TN) on March 10. It would establish licensing and regulatory requirements for stablecoins, which are cryptocurrency tokens used in the crypto economy and traditional financial markets. Among its provisions, the bill would enable states to regulate stablecoin issuers with a market capitalization of under $10 billion, while larger issuers would be regulated at the federal level. This bipartisan legislation is currently in the early stages of committee reporting.