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PROFIT MARGINS FOR U.S. HOME SELLERS MOSTLY UNCHANGED DURING SECOND QUARTER DESPITE RENEWED PRICE SPIKE

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Returns on Typical U.S. Home Sales Increase Slightly to 56 Percent; Margins Generally Flat Even as Median U.S. Home Price Hits New High During Spring Buying Season; Median Raw Profits Rise Back Over $130,000

IRVINE, Calif., July 25, 2024 /PRNewswire/ — ATTOM, a leading curator of land, property, and real estate data, today released its second-quarter 2024 U.S. Home Sales Report, which shows that home sellers earned a 55.8 percent profit margin on typical single-family home and condo sales in the United States during the second quarter. That figure was largely unchanged, rising about one percentage point from the first quarter of 2024, but remaining down one point from the second quarter of last year.

The nationwide investment return barely moved, and still was far behind a highwater mark hit in 2022, despite the median U.S. home price shooting up during the 2024 Spring home-buying season to a new record of $365,000.

The price surge did help boost typical raw profits for sellers back over $130,000. That nearly marked a new all-time peak. But it failed to broadly boost profit margins – the percentage return on investment – around the country because the renewed price surge was not enough to outpace spikes recent sellers had been absorbing when they originally bought their homes.

“The second-quarter profit report offers a mixed bag of plusses and minuses that added up to an overall picture of not much change for sellers,” said Rob Barber, chief executive officer for ATTOM. “Prices jumped back upward, which was great news for owners. So did raw profits. Profit margins also remained historically elevated. But the bottom-line profit-margin trend didn’t move much at all because soaring prices are far from a new thing. Even greater price improvements will be needed to kick margins up over the rest of the year.”

The latest price and profit numbers reflect a period when the national median home value shot up 9 percent quarterly and 6 percent annually. Those gains came amid the usual Springtime rise in demand among house hunters, combined with home-mortgage rates remaining relatively stable at just below 7 percent for a 30-year fixed loan, and historically tight supplies of homes for sale that made bargains few and far between. 

The price increases, however, did not boost investment returns notably because median values had been rising about 8 percent quarterly and 7 percent annually during the time when homeowners were buying the properties they then sold during the second-quarter of this year. Those similar price patterns largely cancelled each other out.

Profit margins tick upward quarterly while still down annually in majority of nation
Typical profit margins – the percent difference between median purchase and resale prices – increased from the first quarter of 2024 to the second quarter of 2024 in 94 (58.8 percent) of the 160 metropolitan statistical areas around the U.S. with sufficient data to analyze. But they remained down annually in 100, or 62.5 percent, of those metros.

They also were down in about three quarters of those areas from the second quarter of 2022, when the nationwide return on median-priced home sales peaked at 64.3 percent.

The higher end of the housing market – metro areas where home values mostly topped $350,000 – absorbed the brunt of the year-over-year softening of profit margins. About three quarters of those areas saw typical margins decline compared to about half of lower-priced markets. Metro areas were included if they had sufficient population and at least 1,000 single-family home and condo sales in the second quarter of 2024.

The biggest year-over-year decreases in typical profit margins came in the metro areas of Hilo, HI (margin down from 80.5 percent in the second quarter of 2023 to 45.3 percent in the second quarter of 2024); Port St. Luce, FL (down from 95 percent to 73.9 percent); Daphne-Fairhope, FL (down from 49.8 percent to 34 percent); Crestview–Fort Walton Beach, FL (down from 60.7 percent to 45.1 percent) and Naples, FL (down from 84.9 percent to 69.2 percent).

The biggest annual profit-margin decreases in metro areas with a population of at least 1 million in the second quarter of 2024 were in Honolulu, HI (return down from 51.8 percent to 38.5 percent); Austin, TX (down from 50.3 percent to 40.3 percent); Nashville, TN (down from 72.9 percent to 63.3 percent); Seattle, WA (down from 94.4 percent to 85 percent) and San Antonio, TX (down from 34.9 percent to 27 percent).

The biggest annual improvements in returns on investment came in Syracuse, NY (margin up from 51.6 percent in the second quarter of 2023 to 71.8 percent in the second quarter of 2024); Rockford, IL (up from 54.8 percent to 74.5 percent); Scranton, PA (up from 79.9 percent to 97.7 percent); Lansing, MI (up from 50.1 percent to 62.7 percent) and Roanoke, VA (up from 45.1 percent to 56.1 percent).

The largest annual increases in profit margins among metro areas with a population of at least 1 million came in Rochester, NY (up from 66.2 percent to 76 percent); Cleveland, OH (up from 53.5 percent to 61 percent); Hartford, CT (up from 65.8 percent to 73.3 percent); Chicago, IL (up from 39.5 percent to 46.1 percent) and Providence, RI (up from 73.3 percent to 78.8 percent).

Investment returns still exceed 50 percent in two-thirds of U.S.
Despite the latest trends, returns on investment for median-priced home sales during the second quarter of 2024 surpassed 50 percent in 106 of the metro areas analyzed (66.3 percent). That was down from almost three quarters of those areas in the second quarter of last year but far above the level of about 10 percent five years ago.

The investment return leaders among areas with a population of at least 1 million in the second quarter of this year were San Jose, CA (typical return of 109.6 percent); Seattle, WA (85 percent); San Francisco, CA (83.6 percent); Boston, MA (81.3 percent) and Miami, FL (80.3 percent).

Among areas with a population of at least 1 million, those with the lowest typical returns were in New Orleans, LA (24.4 percent); San Antonio, TX (27 percent); Houston, TX (34.8 percent); Virginia Beach, VA (37.3 percent) and Dallas, TX (37.9 percent).

Raw profits return to near-record level
The raw profit on median-priced home sales nationwide, measured in dollars, rose 10.1 percent quarterly and 5.2 percent annually during the months running from April through June of 2024. The latest raw profit of $130,712 marked the high point since a level of $135,000 in the Spring of 2022.

Typical raw profits were up quarterly in 134, or 83.8 percent, of the markets analyzed, and annually in 86, or 53.8 percent.

The biggest year-over-year increases in raw profits on typical sales among metro areas with a population of at least 1 million were in Chicago, IL (up 21.6 percent); Hartford, CT (up 18.4 percent); Rochester, NY (up 18 percent); Cleveland, OH (up 17 percent) and New York, NY (up 15 percent).

Raw profits on median-priced sales exceeded $100,000 during the second quarter in 62.5 percent of the metro areas analyzed, with 18 of the top 20 along the east or west coasts. They were led by San Jose, CA (raw profit of $836,500); San Francisco, CA ($547,000); San Diego, CA ($400,000); Los Angeles, CA ($375,500) and Barnstable, MA ($365,000).

The 30 lowest raw profits were all in the Midwest or South. The smallest were in Shreveport, LA ($8,063); Beaumont, TX ($27,266); Columbus, GA ($37,703); Lubbock, TX ($38,083) and Peoria, IL ($38,700).

Spring buying season of 2024 spurs quarterly and annual price surges
Nationwide, the median price of single-family homes and condos jumped from $335,000 in the first quarter of this year to $365,000 in the second quarter. It also was up from $344,000 in the second quarter of last year.

The typical value increased quarterly in 95.7 percent of the metro areas around the country with enough data to analyze and annually in 89.6 percent. It hit new highs in about 75 percent of those markets.

The Midwest and Northeast benefitted most from the latest price spike, with about three-quarters of the metro areas in those regions seeing gains of at least 5 percent annually.

Metro areas with the biggest year-over-year increases in median home prices were Des Moines, IA (up 16.8 percent); Trenton, NJ (up 16.2 percent); Fort Wayne, IN (up 15.2 percent); Scranton, PA (up14.3 percent) and Albany, NY (up 14.1 percent).

The largest annual median-price increases in metro areas with a population of at least 1 million were in San Jose, CA (up 11.5 percent); Detroit, MI (up 11.3 percent); Hartford, CT (up 11.1 percent); New York, NY (up 9.9 percent) and Miami, FL (up 9.7 percent).

Metro areas with a population of at least 1 million where the median home price went down most from the second quarter of last year to the same period this year were Austin, TX (down 3.1 percent); Memphis, TN (down 3 percent); Honolulu, HI (down 2.5 percent); Birmingham, AL (down 2.2 percent) and San Antonio, TX (down 1.4 percent).

Historical Median Home Sales Prices 

Homeownership tenure up slightly
Homeowners who sold in the second quarter of 2024 had owned their homes an average of 7.88 years. That was up from 7.7 years in the first quarter of 2024 and from 7.59 years in the second quarter of 2023.

Average tenure was up from the second quarter of 2023 to the same period this year in 80 percent of metro areas with sufficient data. The largest annual increases were in Lake Havasu City, AZ (tenure up 18 percent); Redding, CA (up 16 percent); Salinas, CA (up 15 percent); Manchester, NH (up 13 percent) and Vallejo, CA (up 12 percent).

The longest 35 average tenures for owners who sold in the second quarter were again in the Northeast or West regions of the U.S. They were led by Barnstable, MA (13.46 years); Bridgeport, CT (12.58 years); Hartford, CT (12.4 years); Santa Rosa, CA (12.29 years) and Boston, MA (12.25 years).

Average U.S. Homeownership Tenure

The smallest average tenures among second-quarter sellers were in Crestview–Fort Walton Beach, FL (6.55 years); Panama City, FL (6.59 years); Ocala, FL (6.61 years); Oklahoma City, OK (6.67 years) and Austin, TX (6.71 years).

Lender-owned foreclosures back down again
Home sales following foreclosures by banks and other lenders represented just 1.4 percent, or one of every 73 U.S. single-family home and condo sales in the second quarter of 2024. That was down from 1.7 percent in the first quarter of 2024 and from 1.5 percent in the second quarter of last year. The figure continues to represent just a tiny fraction of the 30.1 percent peak this century hit in early 2009 during the aftermath of the Great Recession of 2007.

Among metro areas with sufficient data, those where REO sales represented the largest portion of all sales in the second quarter of 2024 included Honolulu (5.9 percent, or one in 17 sales); Shreveport, LA (4.8 percent); St. Louis, MO (4.2 percent); Flint, MI (3.7 percent) and Baton Rouge, LA (3.3 percent).

Cash sales decline as portion of all transactions
Nationwide, all-cash purchases accounted for 39.1 percent of single-family home and condo sales in the second quarter of 2024. That was down slightly from 41.6 percent in the first quarter of 2024, although up from 37.1 percent in the second quarter of last year.

“Cash-sale levels dropped a bit in the second quarter, but remained above average as mortgage rates hovered back and forth around 7 percent for 30-year fixed loan,” Barber said. “With no sign that rates are headed down significantly, which would lower borrowing costs, we are likely to continue seeing higher portions of cash deals.”

Among metropolitan areas with sufficient data, those where all-cash sales represented the largest share of all transactions in the second quarter of 2024 included Myrtle Beach, SC (68.7 percent of all sales); Claremont–Lebanon, NH (63.6 percent); Naples, FL (61.5 percent); Utica, NY (61.2 percent) and Columbus, GA (60.8 percent).

Those where cash sales represented the smallest share of all transactions in the second quarter of 2024 included Greeley, CO (16.4 percent); Vallejo, CA (19 percent); Charleston, WV (19.2 percent); Jacksonville, NC (22 percent) and Stockton, CA (22 percent).

Institutional investment drops
Institutional investors nationwide accounted for 6 percent, or one of every 17 single-family home and condo purchases in the second quarter of 2024. That was down from 6.4 percent in the first quarter of 2024 and from 6.6 percent in the second quarter of last year.

Among states with enough data to analyze, those with the largest percentages of sales to institutional investors in the second quarter of 2024 included Tennessee (8.7 percent of all sales), Alabama (8.2 percent), Oklahoma (8.1 percent), Georgia (8.1 percent) and Mississippi (8 percent).

States with the smallest levels of sales to institutional investors in the second quarter of 2024 included Rhode Island (2.1 percent), New Hampshire (2.8 percent), Maine (3.1 percent), New York (3.3 percent) and Massachusetts (3.7 percent).

Historical Home Sales by Type

FHA-financed purchases also dip downward
Nationwide, buyers using Federal Housing Administration (FHA) loans comprised 8.3 percent of all single-family home and condo purchases in the second quarter of 2024 (one of every 12). That was down from 8.6 percent in the first quarter of 2024 and from 9.1 percent a year earlier.

Among metropolitan areas with sufficient FHA-buyer data, those with the highest levels of sales to FHA purchasers in the second quarter of 2024 included Lakeland, FL (24.2 percent of all sales); Merced, CA (23.3 percent); Bakersfield, CA (21.5 percent); Kennewick, WA (20.1 percent) and Visalia, CA (19.7 percent).

Report methodology
The ATTOM U.S. Home Sales Report provides percentages of REO sales and all sales that are sold to institutional investors and cash buyers, at the state and metropolitan statistical area. Data is also available at the county and zip code level, upon request. The data is derived from recorded sales deeds, foreclosure filings and loan data. Statistics for previous quarters are revised when each new report is issued as more deed data becomes available.

Definitions
All-cash purchase: sale where no loan is recorded at the time of sale and where ATTOM has coverage of loan data.

Homeownership tenure: for a given market and given quarter, the average time between the most recent sale date and the previous sale date, expressed in years.

Home seller price gains: the difference between the median sales price of homes in a given market in a given quarter and the median sales price of the previous sale of those same homes, expressed both in a dollar amount and as a percentage of the previous median sales price.

Institutional investor purchases: residential property sales to non-lending entities that purchased at least 10 properties in a calendar year.

REO sale: a sale of a property that occurs while the property is actively bank owned (REO).

About ATTOM
ATTOM provides premium property data to power products that improve transparency, innovation, efficiency, and disruption in a data-driven economy. ATTOM multi-sources property tax, deed, mortgage, foreclosure, environmental risk, natural hazard, and neighborhood data for more than 155 million U.S. residential and commercial properties covering 99 percent of the nation’s population. A rigorous data management process involving more than 20 steps validates, standardizes, and enhances the real estate data collected by ATTOM, assigning each property record with a persistent, unique ID — the ATTOM ID. The 30TB ATTOM Data Warehouse fuels innovation in many industries including mortgage, real estate, insurance, marketing, government and more through flexible data delivery solutions that include ATTOM Cloud, bulk file licenses, property data APIs, real estate market trends, property navigator and more. Also, introducing our newest innovative solution, making property data more readily accessible and optimized for AI applications– AI-Ready Solutions.

Media Contact:
Megan Hunt
megan.hunt@attomdata.com 

Data and Report Licensing:
datareports@attomdata.com

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Ascendion Expands AI Advisory Community with Four Global Business and Technology Leaders

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October 27, 2026

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Former Global CTO of Banco Santander, former Group CIO of Currys, former CEO of IBPAP, and former Microsoft CVP and CTO of AI join the advisory community

Advisors will provide guidance on AAVA platform innovation, AI strategy, C-suite alignment, and enterprise adoption across Asia-Pacific, Europe, North America, and the UK

The growing community of advisors will bring practitioner perspective closer to Ascendion as enterprises move AI from experimentation to governed, production-scale outcomes

BASKING RIDGE, N.J., Oct. 27, 2026 /PRNewswire/ — Ascendion, an AI-native software engineering company, today announced the appointment of four global business and technology leaders to its AI Advisory Community: Andy Gamble, Jack Madrid, Julieta Ross, Ph.D., and Joseph Sirosh, Ph.D. 

The advisors bring perspectives rarely found in one group: executives who answered to Boards, regulators, and C-suites for what technology actually delivered; a builder of AI and data platforms at global scale; and a leader who shaped one of the world’s largest technology-services and talent ecosystems. Their experience spans banking, high-tech, media, and retail. Each will work directly with Ascendion’s regional and engineering leaders, so their counsel reaches the decisions it is meant to shape. 

“We are changing how software gets built. Enterprise leaders have moved past experiments. They want AI that delivers outcomes boards can measure and risk they can manage. Andy, Jack, Julieta, and Joseph have the experience and know where transformation succeeds. They will challenge our thinking, raise our ambition, and help us navigate a period of intense — and exciting — change,” said Karthik Krishnamurthy, CEO, Ascendion. 

Each advisor will map to a different part of the business, strengthening Ascendion’s alignment with leadership communities across the globe. 

Julieta Ross, Ph.D., former Global CTO of Banco Santander, brings two decades of leading technology inside global banks, along with public-company board experience. She will work with Ascendion’s leadership on executive relationships, go-to-market strategy, and growth, and will help the company meet the governance, regulatory, and risk expectations that banking and financial services leaders place on AI. Andy Gamble, former Group CIO of Currys plc, has spent nearly three decades as a technology buyer and transformation leader across consumer electronics, industrial, and retail businesses. He will advise Ascendion’s work across Europe and the UK, with a focus on consumer goods, manufacturing, and retail, and will share what executive teams and Boards expect from a technology partner. Joseph Sirosh, Ph.D., former Microsoft CVP and CTO of AI, has spent his career building and scaling machine learning platforms in the high-tech industry. He will advise Ascendion’s engineering leadership on the evolution of AAVA and its broader platform strategy as AAVA becomes an orchestration and harness layer for enterprise AI. Jack Madrid, former President and CEO of IBPAP, spent five years leading the industry association behind one of the world’s largest technology and business-services ecosystems, centered in the Philippines. He brings robust experience working across industries, including banking, high-tech, and media, and will advise Ascendion on Asia-Pacific markets and on how AI is reshaping global delivery, skills, and workforce models. 

Together, the advisors give Ascendion an outside perspective on the full spectrum of enterprise AI, from agentic platform strategy and product engineering to industry alignment and delivery. They will add capacity to Ascendion’s ongoing work on AI governance, helping ensure trusted impact from AI-native software engineering, and their practice-based insight will inform how Ascendion applies its Engineering to the Power of AI™ approach to commercial models, platform design, service execution, and workforce development. 

About Ascendion

Ascendion is a global AI-native software engineering company delivering trusted business outcomes – capital unlock, innovation velocity, lower risk – to 250+ enterprise clients. The company delivers business outcomes at scale by combining expert engineers, AI agents, and AAVA, Ascendion’s agentic AI platform. Together, they design, engineer, and operate production-ready software that improves everyday work and life. Learn more at www.ascendion.com.

Engineering to the Power of AI™, Engineering to Elevate Life™, and AAVA™ are trademarks or service marks of Ascendion. AAVA™ is pending registration. Unauthorized use is strictly prohibited.

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AvePoint Set to Join S&P SmallCap 600

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October 27, 2026

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NEW YORK, Oct. 27, 2026 /PRNewswire/ — AvePoint Inc. (NASD: AVPT) will replace LXP Industrial Trust (NYSE: LXP) in the S&P SmallCap 600 effective prior to the opening of trading on Monday, November 2. Brookfield Asset Management Ltd. and Canada Pension Plan Investment Board are acquiring LXP Industrial Trust in a deal expected to close soon, pending final closing conditions.

Following is a summary of the changes that will take place prior to the open of trading on the effective date:

Effective Date

Index Name

Action

Company Name

Ticker

GICS Sector

Nov 2, 2026

S&P SmallCap 600

Addition

AvePoint

AVPT

Information Technology

Nov 2, 2026

S&P SmallCap 600

Deletion

LXP Industrial Trust

LXP

Real Estate

ABOUT S&P DOW JONES INDICES

S&P Dow Jones Indices is the largest global resource for essential index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500® and the Dow Jones Industrial Average®. More assets are invested in products based on our indices than products based on indices from any other provider in the world. Since Charles Dow invented the first index in 1884, S&P DJI has been innovating and developing indices across the spectrum of asset classes helping to define the way investors measure and trade the markets.

S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI), which provides essential intelligence for individuals, companies, and governments to make decisions with confidence. For more information, visit www.spglobal.com/spdji/en/. 

FOR MORE INFORMATION:

S&P Dow Jones Indices
index_services@spglobal.com

Media Inquiries
spdji.comms@spglobal.com

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Archera Surpasses $5.6 Billion in Cloud and AI Spend Under Management, Closes Series C Led by Pivot Investment Partners, and Expands Insurance-Backed Cloud Commitments

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October 27, 2026

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The round will help Archera expand its guaranteed cloud commitments, bringing insurance-backed financial protection to companies navigating unpredictable AI and cloud spending. The company has delivered more than $700 million in customer savings and now manages approximately $5.6 billion in annual cloud and AI spend.

BELLEVUE, Wash., Oct. 27, 2026 /PRNewswire/ — As artificial intelligence makes cloud spending harder to predict, companies face an increasingly expensive choice: commit to long-term cloud and AI contracts to unlock significant discounts or preserve flexibility and leave savings on the table. Archera has raised a $15 million Series C to expand its Guaranteed Commitments and change that equation.

The cloud economics company today announced it closed its Series C funding round, led by Pivot Investment Partners, with participation from existing investors including HighSage Ventures. The financing brings Archera’s total funding to $38.3 million. It will support the expansion of Archera’s Guaranteed Commitments and its suite of free cloud cost tools, including its FinOps Agent and MCP.

Insurance-backed financial protection is central to Archera’s next phase of growth. Archera purchased a policy on a surplus lines basis from Crum & Forster Specialty Insurance Company to back its guarantee. This model helps businesses pursue cloud commitment savings while managing the financial risk of usage changes.

The company has delivered more than $700 million in savings to over 2,200 organizations, including PubNub, Art.com, and Astronomer. The thesis behind Archera is simple: companies shouldn’t have to predict AI’s future to commit and save money on today’s infrastructure.

Why Cloud and AI Commitments Need to Change

Cloud providers reward customers who commit to spending over one- to three-year periods with substantial discounts and access to capacity. Historically, those commitments have helped businesses reduce infrastructure costs. But AI is changing the risk and economics of that decision.

A new model launch can multiply GPU spending in months. A more efficient model, a shift in architecture, or a move to a different service can reduce it just as quickly. Long-term commitments that once looked financially sound can become expensive liabilities.

Companies are left choosing between overcommitting and risking unused spend, or undercommitting and missing out on available discounts. Many choose the latter, sacrificing potential savings to preserve flexibility.

Archera believes that the trade-off is unnecessary. Its Guaranteed Commitments provide resource-level cloud and AI discounts with terms as short as 30 days. If usage declines and a covered commitment goes unused, Archera covers the cost under the terms of its guarantee.

The result is a different way to approach cloud purchasing. Businesses can pursue deeper discounts and unlock capacity otherwise gated behind a commitment, without bearing the entire financial consequence when actual usage diverges from forecasts.

Turning Cloud Optimization Into a Financial Product

Traditional cloud cost management tools provide visibility, recommendations, automation, and forecasting, but they can’t eliminate the financial risk of unused commitments. Archera combines its free FinOps platform and Agent with a financial guarantee that addresses inaccurate forecasts.

“Every tool in this market is trying to forecast your cloud usage a little better. We think that’s the wrong bet,” said Aran Khanna, co-founder and CEO of Archera. “Nobody can forecast AI demand, not the customer, not the cloud provider. So instead of predicting it, we guarantee it, and we have purchased an insurance policy to back that guarantee. If covered usage drops, we address the unused commitment cost under the terms of our guarantee. That’s a new way to purchase cloud, not another dashboard, and it’s why we’ve been able to return $700 million to our customers.”

The approach positions cloud commitments as a financial risk decision, helping finance and engineering leaders manage budgets while adapting to changing technology.

Built for CFOs, CTOs, and the Teams Managing AI Costs

The approach addresses a growing challenge across finance and engineering: how to control infrastructure costs without constraining the business.

For CFOs: Capture commitment-level discounts while reducing exposure to eligible unused spend under the guarantee.For CTOs and engineering leaders: Preserve flexibility to adopt new AI models, change architectures, and scale workloads without letting past commitments dictate future decisions.For FinOps teams: Increase commitment coverage with a financial backstop when usage changes, without more back-and-forth with engineering teams to get perfect forecasts.For cloud partners and resellers: Give customers a differentiated way to pursue cloud savings that can be reinvested in new cloud services while managing commitment risk.

Archera’s platform connects to AWS, Microsoft Azure, or Google Cloud billing data in read-only mode and analyzes actual usage. It then recommends and automates the purchasing of both native commitments and Archera Guaranteed Commitments.

Customers can evaluate their potential savings before making any purchasing decision. Commitments remain in the customer’s own cloud account, preserving end-to-end control over cloud purchasing strategy.

Archera earns when customers save through its guaranteed commitments, aligning its commercial model with the outcomes customers seek.

Customers Are Rethinking the Commitment Model

For organizations accustomed to treating cloud commitments as a single, high-stakes decision, Archera offers a more flexible approach.

“Working with Archera meant rethinking commitments as a spectrum rather than a single, high-stakes decision,” said James Hamilton, VP of Operations and Controller at PubNub. “This was a big mind shift for us. We needed to think about how our commitments could be broken up into a spectrum of purchases versus a single one-time buy.”

That flexibility is particularly valuable as companies adopt AI workloads, where technology choices and resource requirements can shift faster than traditional budgeting cycles.

Instead of making one large bet on future usage, businesses can take a more measured approach while still securing meaningful discounts.

A Series C to Expand Insurance-Backed Cloud Purchasing

Archera has been operating profitably at scale. It raised a Series C to support larger guarantees, expand its reach, serve more customers, and upgrade the insurance policies backing its guarantee to serve larger global clients.

The company plans to use the capital in three ways:

Accelerate go-to-market efforts.Expand its global partner network across North America, Europe, the Middle East, Japan, and Latin America.Serve more teams focused on AI-driven workloads.

“Archera has built a capital-efficient and differentiated business at the intersection of cloud infrastructure and risk management,” said Dinkar Jetley, co-founder and managing partner at Pivot Investment Partners. “The team pairs a deep understanding of the cloud ecosystem with a rigorous approach to underwriting, and the result is a compelling value proposition that a fast-growing roster of customers relies on as their cloud spend scales. We are privileged to have led this Series C round and look forward to working closely with Aran and the management team in the years ahead.”

Built by People Who Understand Cloud Infrastructure

Aran and Nikhil Khanna founded Archera in 2019. Aran previously planned capacity for Azure’s core compute and database services at Microsoft and was a founding member of AWS’s deep learning team leading launches, including SageMaker, DeepLens, and the Neuron SDK, behind Amazon’s Trainium and Inferentia AI chips.

His research on deep learning model efficiency has been cited more than 1,900 times, and he serves on the FinOps Foundation governing board.

As AI transforms infrastructure economics, Archera aims to make cloud savings more accessible without forcing businesses to assume unnecessary financial risk.

To explore potential savings, request a free assessment at Archera.ai.

Free savings assessment: https://app.archera.ai/savings-estimate?utm_source=forbes&utm_medium=referral&utm_campaign=series-c-2026

Name: Sarah
Email Address: shiara@archera.ai
Phone Number: +13018255007

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SOURCE Archera

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