Good afternoon and welcome to Samsara's First Quarter Fiscal 2026 Earnings Call. I'm Mike Chang, Samsara's Vice President of Corporate Development and Investor Relations. Joining me today are Samsara Chief Executive Officer and Co-Founder Sanjit Biswas and our Chief Financial Officer Dominic Phillips. In addition to our prepared remarks on this call, additional information can be found in our shareholder letter, press release, investor presentation, and SEC filings on our investor relations website at investors.samsara.com. The matters we'll discuss today include forward-looking statements. Actual results may differ materially from those contained in the forward-looking statements and are subject to risks and uncertainties described more fully in our SEC filings. Any forward-looking statements that we make on this call are based on assumptions as of today, June 5th, 2025, and we undertake no obligation to update these statements as a result of new information or future events unless required by law.
During today's call, we'll discuss our first quarter fiscal 2026 financial results. We'd like to point out that the company reports non-GAAP results in addition to, and not as a substitute for, or superior to financial measures calculated in accordance with GAAP. Reconciliations of GAAP to non-GAAP financial measures are provided in our press release and investor presentation. We'll make opening remarks, dive into highlights for the quarter, and then open up the call for Q&A. With that, I'll hand over the call to Sanjit.
Thanks, Mike, and thank you everyone for joining us today. Samsara delivered a strong Q1 of our new fiscal year, surpassing $1.5 billion in ARR. We ended Q1 with $1.54 billion in ARR, growing 31% year-over-year adjusted for constant currency. During the quarter, we grew our customers with more than $100,000 in ARR by 154, an increase of 35% year-over-year. Our durable and efficient growth is a testament to the strength of our platform and our partnership with customers to address their critical needs. In Q1, we partnered with some of the largest organizations in physical operations, including 7-Eleven, the largest convenience store chain in the world, the Dallas-Fort Worth Airport, the second largest airport in the U.S., and one of the largest counties in the U.S., which has more than 10 million residents. We're proud to work with these industry leaders and help them operate smarter.
Over the past few months, I've visited some of our top customers and prospects in North America and Europe. They're focused on a few key priorities: increasing the focus on safety to reduce accident payouts and lower insurance premiums, using preventative maintenance to extend the life of their equipment and reduce capital expenditures, and improve asset utilization to run smarter and more efficient operations. Across the board, our customers are digitizing their operations and using AI to help them get more out of their existing labor and assets. They're investing in technology to run safer, more efficient, and more sustainable operations. Our customers have large, complex operations. They rely on commercial vehicles to move goods and services to power infrastructure. According to the National Highway Traffic Safety Administration, there are more than 500,000 accidents involving large trucks in the U.S. every year.
Commercial accidents not only cause injuries, but are a source of reputational risk and potentially millions of dollars in insurance payouts and premiums. To better understand our customers' safety challenges, we surveyed more than 1,500 commercial drivers. They represent 21 industries spanning seven countries. We found that 79% have had a near miss while driving distracted, and 67% have experienced drowsiness while driving. When asked about how to reduce this risk, 95% of surveyed drivers agreed that coaching positively impacts their habits on the road. This shows the importance of technology to identify risk and help drivers avoid distractions on the road. Doing this at scale is a tremendous challenge. Our customers recognize that this is largely a data problem, and they're using AI and automation to improve their safety. We built Samsara's AI-powered safety solutions to directly manage risk at enterprise scale.
Our platform provides comprehensive AI alerts covering a wide range of safety concerns. This includes collision risk, traffic violations, policy violations, harsh driving, driver fatigue, speeding, and distracted driving events like mobile phone use, smoking, and eating and drinking. Our new intelligent safety inbox and AI-powered insights give our customers a smarter way to identify risk and coach drivers based on patterns, not just incidents. With high turnover rates and driver shortages, recognition is critical for our customers to keep their best drivers. We're doubling down on safety and recently launched new positive recognition tools within the Samsara platform. This includes streaks and milestones, personalized kudos, and shared visibility. These features use gamification to help our customers drive improvements in employee engagement and overall safety outcomes. We're excited to help our customers reduce risk, protect their workers, and save millions of dollars.
I'd like to share an example of a customer using AI to improve their safety. In Q1, we partnered with one of the largest retail propane companies in the U.S. They have over 3,000 vehicles and 2,300 employees that deliver propane to residential, industrial, commercial, and agricultural customers. They also provide portable propane tank exchange operations. They first landed with Telematics in Q3 of fiscal year 2024. In Q1, we had one of our largest expansions with them, signing a deal for Samsara's video-based safety. In a pilot, they saw a 75% reduction in safety events and a 71% reduction in mobile usage. From pilot to partnership, they said the key differentiator for Samsara was the impact of our AI on the safety of their operations. A large portion of our customers' operating budgets goes towards physical assets like vehicles, forklifts, cranes, and other equipment.
These assets have hundreds of moving parts. They're put to heavy use under demanding conditions and inevitably break down over time. As a result, most organizations allocate about 10% of their operational budget for repairs and maintenance. In today's environment, our customers are focused on maximizing the value of their assets and optimizing maintenance spend. In particular, they're interested in extending the usable lifespan of these critical resources. Recently, they've been sharing feedback on the complexities of maintenance at scale, the impact of tariffs, and the challenges with resilience of their supply chains. To address this, they're seeking AI to drive proactive maintenance to improve the operations with healthier assets. We're helping our customers achieve their maintenance goals with our AI-powered maintenance solutions. At the core of our solution is our massive data asset that powers our AI.