Business
Why Are Our Outbound Calls Getting Labeled “Spam Risk” Even Though We Have STIR/SHAKEN?
If your outbound calls are showing up as “Spam Risk” or “Scam Likely,” it can feel maddening when you have already done the “right” thing and implemented STIR/SHAKEN.
Here is the reality. STIR/SHAKEN is about caller ID authentication, not caller reputation. It helps carriers confirm whether a call is likely spoofed, but carriers still use reputation analytics and user feedback to decide whether a call should be labeled or blocked. Even platform providers like Twilio explicitly note that SHAKEN/STIR will not remove nuisance labeling.
This is why many teams reduce their dependence on cold outbound calling and shift more first contact to messaging. Tools like Meera, for example, can engage leads via SMS in a compliant way, qualify intent, and pass only serious prospects to your team, which reduces the call patterns that often trigger spam labels.
In this guide, we will break down what STIR/SHAKEN does, why calls still get flagged, and what you can do to fix labeling across carriers.
What STIR/SHAKEN Actually Solves and What It Does Not?
STIR/SHAKEN is a technology specifically designed to digitally authenticate calls as they pass through carrier networks and eliminate the risk of illegal robocalls and caller ID spoofing.
However, it is important to note that it doesn’t guarantee deliverability, answer rates, or a clean reputation score because carriers and call protection systems can still label and filter calls using their own analytics. AT&T, for example, explicitly distinguishes between “verified” indicators and calls marked as spam or fraud risk, and notes that spam risk calls may not receive verification indicators.
So if you are asking, “We have STIR/SHAKEN, why are we still being labeled?”, the most logical answer is that although you have authentication, your traffic still looks suspicious to carrier analytics, which causes it to be labeled.
What are the Most Common Reasons Legitimate Calls Still Get Labeled?
Carrier labeling systems do not rely on just one factor, but a mix of behavioral patterns, to determine whether a call appears trustworthy. This could be identity consistency, historical reputation, or even user feedback.
Businesses can follow all standard protocols, but still get flagged if the carrier system’s analytics pick up on any of these factors, and their calling activity unintentionally indicates spam-like behavior, which is why, before you look into technical solutions for this problem, it is important to understand what is the reason you’re getting labeled.
Here are some underlying issues you can address to resolve the problem:
Your calls have partial or weak attestation
Even in a STIR/SHAKEN world, calls can be signed with different attestation levels, commonly described as A, B, or C.
An A-level means the provider knows the customer and the caller ID is authorized, while lower levels indicate less certainty. If your traffic is frequently signed at B or C, carriers may still treat the calls as higher risk, especially when combined with other suspicious signals.
Your call patterns match spam behavior
Spam detection is heavily pattern-based. High call volume from one number in a short period, short call durations, and low answer rates can all look like robocall behavior, even when you are a legitimate business. This is especially common when teams use power dialers and rapidly cycle through lists.
Your number has a poor history or a lost reputation after porting
If your number was previously abused, or if it is newly activated with no history, it can get flagged more easily. Porting can also disrupt reputation signals between ecosystems and temporarily increase labeling risk.
Caller ID data is inconsistent or incomplete
Carrier analytics do not only look at signatures. They also look at whether the caller ID looks consistent and trustworthy. Mismatched caller name data and inconsistent presentation can contribute to suspicion.
End users and call protection apps are reporting you
User feedback matters. When recipients mark your calls as spam, it can influence your reputation, and many consumer protection products use network analytics and machine learning to identify spam patterns.
How to Diagnose the Real Cause of Labelling?
Here are some steps you need to follow to diagnose the real cause of labelling:
- Treat this like a funnel problem, not a telecom mystery.
- Look at what changed in the last 30 to 60 days. Did you increase calling volume too quickly? Did you start using new numbers? Did you port numbers? Did you change your outbound provider?
- Look at the signals carriers care about.
- Check your answer rate and average call duration. If a large portion of calls are going unanswered and the average duration is very short, your traffic can resemble nuisance calling.
- Verify your STIR/SHAKEN attestation level. If you are not consistently getting strong attestation, you may have an upstream configuration or identity problem.
What Actually Fixes “Spam Risk” Labeling?
There are various approaches to fix the “Spam Risk” labelling issue, and we have mentioned some of the most effective solutions below:
Improve identity consistency and attestation quality
Work with your voice provider to increase the likelihood of A-level attestation where possible and ensure caller ID data is consistent. The attestation levels exist specifically to express how confidently the caller ID can be trusted.
Adjust call patterns so they look human, not robotic
If you spin up a new number and immediately push heavy outbound volume, you often get flagged. Some providers explicitly recommend warming numbers and ramping volume gradually.
You also want to reduce behaviors that carriers interpret as nuisance calling, like repeated short-duration calls.
Monitor and remediate reputation, not just authentication
STIR/SHAKEN helps prove calls are not spoofed, but analytics and reputation still drive labeling decisions. This is a widely discussed issue in the industry, including by reputation-focused providers who stress that authentication alone does not solve labeling.
If your business relies heavily on outbound calls, proactive monitoring and remediation should be part of operations, not a one-time setup.
Consider branded calling and richer identity signals
Some carriers and industry discussions point to branded calling and richer caller identity data as an additional trust layer beyond basic authentication.
Best Tools to Reduce Cold Calling Reliance and Keep Leads Warm
A practical way to reduce spam labeling risk is to lower the volume of repeated outbound attempts and move early-stage qualification to channels that feel less intrusive.
Meera
If your team is calling lots of leads just to figure out who is serious, an SMS-first qualification layer can remove a huge amount of outbound call pressure. Meera is an AI texting platform that can respond instantly, qualify intent through two-way SMS conversations, and route warm prospects to your team when they are ready.
HubSpot workflows with messaging integrations
If your pipeline lives in a CRM like HubSpot, workflow automation combined with messaging integrations can help you respond quickly and keep follow-ups consistent, without requiring your team to personally manage every thread.
Twilio for custom messaging and call flows
If you want full control, Twilio provides programmable building blocks for SMS and calling. Twilio also notes that SHAKEN/STIR does not remove nuisance labels, which is a helpful reminder that deliverability requires more than authentication alone.
Plivo for Custom Messaging and Call Flows
If you want full control over your voice and messaging infrastructure, Plivo offers programmable APIs for SMS and outbound calling. It allows teams to build customized call flows, manage caller ID configuration, and integrate directly with internal systems. Like other programmable voice providers, it is important to remember that STIR/SHAKEN authentication does not automatically prevent spam labeling, since carrier analytics and reputation signals still influence call treatment.
Wrapping It Up
STIR/SHAKEN is necessary, but it is not a guarantee that carriers will stop labeling your calls. Carrier analytics, reputation signals, calling patterns, and user feedback still determine whether a call gets marked as Spam Risk.
The fix is usually a combination of stronger identity consistency, healthier call patterns, and reputation monitoring. And for many teams, the fastest relief comes from shifting early qualification to SMS so outbound calling is focused on warmer prospects instead of brute-force dialing.
Business
Pulse Biosciences CCO Danahy sells $118k in PLSE stock

Pulse Biosciences CCO Danahy sells $118k in PLSE stock
Business
Clouded outlook suggests waiting on IDFC First Bank despite sharp correction
In the case of IDFC First Bank, the price-book (P/B) multiple inched up gradually to nearly two over the past three years from around one, aided by improving asset quality. In addition, the mid-tier bank also took efforts to revive its net interest margin to around 6% from under 2% seven years ago by shifting its focus on consumer lending and reducing corporate exposure. This makeover has attracted value investors over the past few years, supporting the stock price. The stock hit a 52-week high of 87 in the first week of January and continued to trade closer to this level in subsequent weeks.
This however changed on Monday when the stock crashed by 16% to ’70 from the previous session’s close. Monday’s closing price was nearly 20% lower than the 52-week high level. The bank’s P/B has shrunk to 1.3, the lowest in over three years. However, investors need to wait before making fresh purchases as the stock is likely to remain under pressure given the possible impact of the latest fraud.
AgenciesSharp fall IDFC First declined 16% in Monday’s trading. The bank is now trading 20% below the 52-week high it had hit in January
IDFC Bank informed stock exchanges on Saturday about fraudulent activities in accounts linked to the state government at its Chandigarh branch, amounting to ‘590 crore. The Haryana government has de-empanelled IDFC First Bank and AU Small Finance Bank from parking of bank deposits. Outflow of government funds may put pressure on current account- savings account (CASA) of banks at a time when they are still facing slower growth in deposits. Sector experts say, a part of government deposits may move to public sector undertaking banks over the medium term. BSE PSU Bank index rose 1.4% outperforming Sensex’s 0.6% rise on Monday.
“This episode could prompt other states to reassess their comfort with smaller banks,” a banking analyst told ET. “For mid-sized and smaller lenders, the risk of losing state government business has clearly risen after this incident.”
IDFC First Bank has said that recoveries will help cushion the financial impact of the fraud. Analysts, however, caution that recoveries in such cases are typically slow. “If any third party chooses to pursue litigation, the recovery process could be significantly delayed,” the analyst said.
As per the Reserve Bank of India’s circular ‘Provisioning pertaining to Fraud Accounts’, banks are required to provide for the entire amount involved in the fraud. This provisioning can be done immediately upon classification or spread over a period of upto four quarters. For IDFC Bank, if the entire amount is provided in a single quarter, the bank may be forced to report a net loss given that it reported a profit of ‘503 crore in the December quarter.
Business
Monadelphous lifts guidance again on bumper first half
The engineering firm posted record first-half revenue, sending its shares to an all-time high as management lifted guidance.
Business
Global Market Today | Asian stocks follow US lower on tariff uncertainty
The MSCI Asia Pacific Index edged down 0.2%, with shares in South Korea — a bellwether for AI investments — falling 0.5%. Attention later will turn to mainland China’s markets, which are set to reopen after the Lunar New Year holiday period.
The moves in Asia came after the S&P 500 Index slid 1%, with tech, delivery and payment shares hit as Citrini Research laid out the potential AI risks to various industries. International Business Machines Corp. tumbled 13% in its worst day since October 2000 as Anthropic said its Claude Code could help modernize COBOL, a programming language mainly run on IBM computers.
Amid lingering uncertainty over President Donald Trump’s tariffs, concerns about AI-driven disruption are prompting traders to dump shares of any company seen at the slightest risk of being displaced. Those worries have also grown despite solid results from megacaps amid doubts over whether big investments in the technology will pay off soon.
“The software selloff is a reminder of what can happen when momentum-driven sectors shift into reverse,” said Steve Sosnick at Interactive Brokers. “The broader, more important question is: How many sectors can go into reverse before they drag the broader market along with them?”
While software companies have been among the hardest hit, insurance brokers, private credit firms, cybersecurity and even real estate services stocks in the US have all been caught up in the so-called AI scare trade.
Asian shares have outperformed, with MSCI’s regional gauge rising 12% this year compared with a 0.1% decline in the S&P 500 over the same period. That marks the index’s strongest start to a year relative to the US benchmark on record.In other corners of the market, Treasuries and gold held their gains from the US session, when traders pared back risk and sought haven assets. Bitcoin continued to trade below $65,000. The dollar was little changed in early trading on Tuesday.
In other commodities, oil steadied as Trump said his preference was for a nuclear deal with Iran ahead of talks between the two nations this week.
Meanwhile, questions over US tariffs added to the downbeat mood on Monday.
After the Supreme Court’s decision Friday to nix Trump’s “reciprocal” tariffs, the White House announced plans to replace the prior levies with a new, across-the-board 15% tariff on US imports. The European Union froze ratification of its US trade deal amid the uncertainty.
The US is readying a spate of additional national security investigations that would enable Trump to impose new tariffs, as the administration seeks to rebuild his global tariff regime.
The administration is considering new national security tariffs on a half-dozen industries, the Wall Street Journal reported, citing people familiar with the plans.
“The push and pull with tariffs is likely to be a distracting theme for markets for the remainder of the year, albeit with less volatility than the initial shock last April,” said Michael Landsberg at Landsberg Bennett Private Wealth Management.
Business
Homebuyers gain over $30,000 in purchasing power from lower mortgage rates
The Corcoran Group broker Noble Black joins Varney & Co. to discuss homebuilder confidence, mortgage rates and Congress actions to address the housing crisis.
A new analysis finds prospective homebuyers have seen their purchasing power rise in the last year due to higher incomes and lower mortgage rates.
Zillow published a report on Monday that found a median-income U.S. household can now comfortably afford a $331,483 home with a 20% down payment. It found that the typical mortgage payment is 8.4% lower than it was a year ago when excluding taxes, insurance and assuming a 20% downpayment.
Mortgage rates have fallen from an average of 6.96% in January 2025 to 6.1% last month, while incomes have ticked higher to give a median-income household an extra $30,302 in buying power compared with a year ago due to shifts in mortgage rates and household incomes.
“A more than $30,000 gain in buying power is meaningful for households that have been stretched thin by high rates. It can mean the difference between settling and choosing,” said Kara Ng, senior economist at Zillow.
RENT BECOMING MORE AFFORDABLE FOR MANY AMERICANS AS MARKET STABILIZES

A median-income U.S. household can now comfortably afford a $331,483 home with a 20% down payment, a new Zillow analysis found. (Steve Pfost/Newsday RM via Getty Images)
“That doesn’t suddenly make this market affordable for everyone, but it does crack open doors that had firmly shut when rates peaked,” Ng added.
Zillow’s report noted that with the recent changes in household income and mortgage rates, the purchasing power of homebuyers is now at its highest level since March 2022, when mortgage rates were still below 5%.
The most recent low point for affordability was October 2023, when the median household could afford a $272,224 home as mortgage rates averaged 7.62% that month – the highest average for any month since 2000.
OHIO GOVERNOR SAYS ENDING PROPERTY TAXES COULD PUSH STATE’S SALES TAX TO 20%

The most recent low point for affordability was October 2023, when the median household could afford a $272,224 home. (David Paul Morris/Bloomberg via Getty Images)
The latest dip in mortgage rates provided the biggest boost to homebuyers’ purchasing power in the nation’s most expensive housing markets.
Zillow noted that a median-income household in San Jose, Californina, has gained nearly $74,000 in buying power from a year ago – the largest gain among major metropolitan areas.
San Francisco buyers saw a boost of $56,115, and they were followed by peers in Washington, D.C. ($48,881), San Diego ($46,505) and Boston ($46,390).
The number of homes that are affordable for a median-income household has also increased from a year ago by about 82,300 homes, Zillow found, with about 447,000 homes listed in January.
US HOME PRICES ARE RISING – BUT THESE FAST-GROWING MARKETS REMAIN AFFORDABLE

The latest dip in mortgage rates provided the biggest boost to homebuyers’ purchasing power in the nation’s most expensive housing markets. (Loren Elliott/Bloomberg via Getty Images)
The 447,000 affordable home listings represent about 40.3% of total listings, an increase from 34.8% last year.
Markets where home values have declined over the last year make even more homes available to median-income buyers, boosting purchasing power alongside the lower mortgage rates.
Houston led the country in the growth of affordable home inventory, with nearly 4,000 more homes listed for sale that are within reach for median-income buyers when compared with last year.
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Other metros with significant jumps in affordable home inventory are Phoenix with 3,434 more than last year, Dallas with 3,267, Miami with 2,981 and Atlanta’s gain of 2,279, Zillow found. Each of those markets has seen home values decline from last year.
Business
Volvo recalls 40,000 EX30 SUVs over battery fire risk
Check out whats clicking on FoxBusiness.com.
Volvo Cars is recalling over 40,000 of its flagship electric EX30 SUVs because of a risk of battery packs overheating and catching fire.
The recall involves replacing modules in the high-voltage battery packs in the SUV, which is a crucial model in Volvo’s push to compete with cheaper Chinese brands. The news was first reported by Reuters.
The recall covers a total of 40,323 model year 2024-2026 EX30 Single-Motor Extended Range and Twin-Motor Performance cars that have the high-voltage cells. Volvo is a Sweden-based automaker that is majority-owned by China’s Geely.
VOLVO RECALLS MORE THAN 450,000 VEHICLES OVER BACKUP CAMERA ISSUE

Over 40,000 Volvo Car EX30 all-electric SUVs will be recalled by Volvo due to a battery fire risk. (Francesca Volpi/Bloomberg via Getty Images)
Volvo said it plans to replace affected units free of charge and is urging owners to continue limiting their charging to 70% until repairs can occur to eliminate the fire risk.
“Our investigations have identified that in very rare cases, the affected vehicles can overheat when charged to a high level. In a worst-case scenario this could lead to a fire starting in the battery,” Volvo told FOX Business in a statement.
The automaker said, in total, 40,323 cars are affected globally; of those, it has “identified 189 in the U.S. that will be inspected and fixed if necessary.”
VOLVO REVERSES GOAL TO MAKE ONLY EVS IN 2030

Volvo said that car owners will get their EX30 electric SUV batteries repaired free of charge. (Claudia Greco/Reuters)
The automaker first told EX30 owners in over a dozen countries – including the U.S., Australia and Brazil – in December to park their vehicles away from buildings and cap charging at 70%, according to regulatory filings and the company.
Volvo may face a high cost for replacing the battery packs, as a Reuters analysis based on what a Chinese battery maker might charge resulted in an estimate of $195 million, excluding logistics and repair costs. Volvo said the calculations were “speculative in nature” and that it’s in discussions with the supplier.
The automaker is pursuing deeper integration with its parent company, Geely, while the batteries were made by a Geely-backed joint venture known as Shandong Geely Sunwoda Power Battery Co. Volvo indicated the supplier has fixed the problem and will supply the new battery cells.
NISSAN RECALLS OVER 640,000 VEHICLES FOR ENGINE AND GEAR ISSUES

Volvo said it’s working with the supplier to address the issue. (Yves Herman/File Photo)
Andy Palmer, an auto industry veteran who oversaw the launch of Nissan Motor’s Leaf EV in 2010, said that Volvo has less room for missteps than its rivals because its safety reputation is a central part of its identity as a company.
“Volvo can’t afford a safety issue because that strikes at the heart of their brand,” Palmer said.
Volvo said it is contacting the owners of affected cars to advise them about the next steps in the recall.
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Reuters contributed to this report.
Business
Dalrymple Bay FY25 slides: distributions jump 12%, refinancing saves $75m

Dalrymple Bay FY25 slides: distributions jump 12%, refinancing saves $75m
Business
Why True Technology Leadership Requires More Than Bold Ambitions
In an era where artificial intelligence dominates boardroom conversations and quantum computing looms on the horizon, a sobering reality check has arrived. KPMG’s newly released Global Tech Report 2026, drawing insights from 2,500 technology executives across 27 countries, paints a picture of an enterprise landscape caught between transformative ambition and operational paralysis.
Key Points
- Rapid AI Integration : 88% of organizations are already embedding AI agents into their workflows, signaling a significant global shift from pilot programs to operational scaling.
- Adaptive Strategic Planning : Because the fast pace of innovation can make tech plans obsolete before implementation, organizations are moving toward flexible, agile strategies that prioritize speed and enterprise-wide coordination.
- Workforce Evolution : High-performing organizations project that by 2027, tech teams will likely consist of a small permanent human core orchestrating expansive, AI-augmented ecosystems.
- Redefining ROI : Realizing value from tech investments remains a challenge due to varying organizational readiness; executives are encouraged to update KPIs to better capture the indirect and unique business value generated by AI.
The central thesis is unambiguous: organizations stand at the threshold of what KPMG terms the “Intelligence Age,” yet most remain fundamentally unprepared for what this transition demands.
The Maturity Paradox: Plans Without Progress
The report’s most striking revelation concerns what analysts describe as the “maturity paradox.” Despite unprecedented investment in emerging technologies, most organizations find themselves trapped in perpetual experimentation mode. The journey from pilot programs to scaled implementation remains frustratingly elusive for the majority.
- Barriers to Maturity : Despite bold ambitions, many organizations are hindered by the “intensifying challenges” of tech debt, rising cost pressures, and a lack of specialized talent.
- Future Tech Horizons : Beyond current AI, leaders are urged to prepare for the disruptive potential of quantum computing—which demands superior security—as well as the unpredictable implications of AGI and Artificial Superintelligence (ASI).
- Data-Driven Insights : The report’s findings are based on a comprehensive survey of 2,500 senior tech executives across 27 countries and eight major industries, reflecting a global consensus on the need for digital maturity.
This is not a failure of vision. Technology executives understand the stakes. What they are grappling with is something far more insidious: the intensifying challenges of technical debt, relentless cost pressures, and acute talent shortages that collectively function as gravitational forces, pulling organizations back toward the status quo even as they strain toward innovation.
The data is particularly revealing. While organizations have bold plans to “uplift maturity in 2026,” the obstacles preventing them from realizing their tech goals suggest that aspiration and achievement exist in parallel universes for many enterprises.
The ROI Reckoning: Beyond the Vanity Metrics
Perhaps no finding demands more critical attention than the report’s examination of return on investment. The technology sector has long suffered from measurement myopia, an obsession with deployment metrics, user adoption rates, and feature releases that obscure the fundamental question: Are organizations actually creating value?
KPMG’s research suggests that ROI on tech investments varies dramatically based on factors including readiness, diligence, organizational agility, and most crucially, organizational courage. The report explicitly challenges executives to move beyond conventional ROI measurements, particularly for AI tools, where traditional metrics often fail to capture the complexity of value generation.
This represents a mature acknowledgment of an uncomfortable truth: the typical pattern of ROI for AI initiatives frequently involves being based on indirect and often misleading benefits rather than demonstrable business outcomes. For an industry that prides itself on data-driven decision-making, this admission of measurement inadequacy is both refreshing and alarming.
The Agentic Revolution: From Pilot to Permanence
The most forward-looking element of KPMG’s analysis centers on what Zack Kass, former Head of Go-to-Market at OpenAI, describes as a “sharp move from pilots to ROI in the next year.” According to the research, 88 percent of organizations are already embedding AI agents into workflows, products, and value streams.
But here is where the analysis becomes genuinely provocative: Kass predicts that by 2027, high-performing organizations expect approximately half of their tech teams to consist of permanent human staff, with the remainder orchestrated through small, durable human cores managing large AI-augmented ecosystems.
This is not an incremental change. It represents a fundamental reimagining of how technology organizations function. Yet the report stops short of addressing the profound ethical, cultural, and practical implications of this transition. Questions remain about workforce reskilling, career progression in hybrid ecosystems, and who bears the social cost of this transformation.
Strategic Agility in an Age of Constant Obsolescence
The report correctly identifies that with the fast pace of innovation, tech plans are often obsolete before implementation. This observation points to a strategic crisis that transcends technology: how can organizations plan for a future that refuses to remain fixed long enough to be planned for?
KPMG’s prescription of coordinating investment priorities across the enterprise, building clarity around strategic decision-making, creating cultures that leverage the best of technology, and ensuring the foundations of data and resilience are sound, but may prove insufficient. These recommendations assume a stable enough environment for coordination and planning to remain meaningful activities.
What may be required instead is a more radical reimagining: organizations that treat strategy as a continuous adaptive process rather than an annual planning ritual. Technology leadership must become less about selecting the right technologies and more about building organizational systems capable of rapid experimentation, learning, and adaptation.
The Quantum and AGI Horizon
The report’s discussion of emerging technologies beyond current AI capabilities, particularly quantum computing and artificial general intelligence, highlights an essential but often overlooked leadership responsibility: preparing for discontinuities.
As KPMG notes, agentic AI commands attention while quantum provides immense computing power with security implications. Meanwhile, AGI and artificial superintelligence represent possibilities that are simultaneously distant and potentially transformative. The challenge for technology leaders is maintaining focus on near-term execution while building organizational flexibility for technological shifts that remain fundamentally unpredictable.
Conclusion: Leadership Beyond Technology
What emerges from KPMG’s comprehensive research is a portrait of technology leadership that transcends technical competence. Success in the Intelligence Age demands the ability to balance ambition with pragmatism, to measure value with sophistication, to build adaptive strategies in unstable environments, and to prepare organizations for futures that may look radically different from the present.
The executives surveyed for this report understand these challenges intellectually. The question that will define the next several years is whether they can translate that understanding into organizational reality, moving from plans on paper to sustained competitive advantage in practice.
For those waiting for certainty before acting, KPMG’s research offers a clear message: the time for tentative experimentation has passed. The Intelligence Age is not approaching. It has arrived. The only question remaining is whether organizations will lead, follow, or become obsolete.
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Earnings call transcript: Dalrymple Bay Infrastructure Q4 2025 earnings show resilience

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CarMax to pay $420,000 over alleged military vehicle repossessions
Former Republican presidential candidate Larry Elder predicts that the Trump administration’s tariffs aren’t going away anytime soon on ‘The Evening Edit.’
The nation’s largest retailer of used cars, CarMax, will pay at least $420,000 to resolve allegations that it repossessed vehicles from U.S. service members without court orders, the U.S. Department of Justice announced Monday.
In addition to compensating affected service members, the company will pay a $79,380 civil penalty to the U.S., according to the DOJ.
Federal officials accused CarMax of violating the Servicemembers Civil Relief Act (SCRA) by seizing vehicles owned by members of the armed forces without first obtaining court approval.
“Federal law prohibits businesses from repossessing service members’ vehicles without a court order,” Assistant Attorney General Harmeet K. Dhillon said. “The Department of Justice is proud to defend the rights of those who serve in our military and will continue to vigorously enforce the laws that protect them.”
TRUMP DEFENDS TARIFFS, SAYS US HAS BEEN ‘THE KING OF BEING SCREWED’ BY TRADE IMBALANCE

Ford Mustangs and other used vehicles for sale are parked in a lot at a CarMax dealership on April 24, 2025 in San Diego, California. (Photo by Kevin Carter/Getty Images / Getty Images)
The violations allegedly occurred between March 1, 2018, and at least Oct. 24, 2023, affecting at least 28 service members. Each is entitled to a minimum payment of $15,000, plus lost equity in the vehicle and interest on that amount.
SUPREME COURT DEALS BLOW TO TRUMP’S TRADE AGENDA IN LANDMARK TARIFF CASE

CarMax will pay at least $420,000 and a civil penalty after the DOJ accused the retailer of illegally repossessing vehicles from U.S. servicemembers. (John Moore/Getty Images / Getty Images)
As part of the settlement, CarMax – which did not admit or deny the allegations – agreed to revise its policies and procedures to better protect the rights of U.S. service members. FOX Business has reached out to CarMax for comment.
The SCRA is a federal statute designed to safeguard the legal and financial interests of U.S. service members and their families while they are on active duty.
US TARIFF REVENUE UP 300% UNDER TRUMP AS SUPREME COURT BATTLE LOOMS
It bars auto lenders and leasing companies from repossessing a service member’s vehicle without a court order if the borrower made at least one payment before entering military service.
For reservists, those protections begin when they receive official orders to report for active duty.
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Service members or their dependents who believe their rights were violated are encouraged to contact their nearest Armed Forces Legal Assistance Program office.
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