Momenta Passes HKEX Hearing, Ranks First Globally in Urban NOA Mass Production Scale
Claire Weston
Momenta Global has cleared its HKEX main-board listing hearing, ranking first among independent autonomous-driving solution providers worldwide by city-NOA vehicle sales. Revenue more than tripled in three years, yet losses consistently exceeded revenue — whether trading scale for data and data for the future convinces Hong Kong investors is the central question of this IPO.
"Global number one" — what does this ranking actually measure?
Per CIC data, Momenta ranked first globally among independent AD solution providers by sales of vehicles equipped with city-NOA solutions over the twelve months to February 2026.
This means → the ranking is anchored to cars actually sold and on the road, not contracts signed or demos shown — the hardest metric capital markets recognize.
As of end-2025, Momenta had secured design wins for 170 vehicle models, of which 68 were in mass production, with total installations exceeding 680,000 vehicles across 24 OEM partners.
What is the tech roadmap — and what does "one flywheel, two legs" mean?
Momenta's strategy: use mass-production vehicles (L2 driver assistance) to collect real-world driving data, then feed that data back into its Robotaxi algorithms for iteration.
In plain terms = mass-production cars are the "data collectors," Robotaxi is the "end goal." The former feeds the latter, creating a data flywheel — more data → better algorithms → better experience → more installations → even more data.
The company is at an early stage of deploying L3/L4 solutions; Robotaxi revenue contributed very little during the track record period.
What "first-ever" milestones does the company claim?
2023: first company to deploy a deep-learning planning algorithm in a mass-produced passenger vehicle.
2024: first independent AD solution provider to commercialize an end-to-end autonomous driving system — one model handling perception through decision-making.
2025: first independent provider globally to put a reinforcement-learning-based model into mass production.
This means → Momenta has hit key technical milestones ahead of peers, but whether "first-mover" tags translate into a lasting commercial moat depends on whether its data scale pulls far enough ahead.
What do the financials show — growing fast or bleeding fast?
Revenue: roughly RMB 743 million in 2023, RMB 1.325 billion in 2024, RMB 2.413 billion in 2025 — more than tripling over three years.
Losses: net losses attributable to the company's owners were roughly RMB 2.57 billion, RMB 3.206 billion, and RMB 3.458 billion over the same period — every year, losses significantly exceeded revenue.
In plain terms = for every RMB 1 earned, the company spent well over RMB 1 more; revenue is growing fast, but losses are widening in tandem with no visible inflection point yet.
What is the one question Hong Kong investors should focus on?
The core thesis: can 680,000+ installed vehicles generate a data moat deep enough to migrate the business from low-margin L2 solutions toward higher-margin L3/L4 products?
This means → if the data flywheel spins effectively, the scale advantage compounds; if it doesn't, the market will struggle to accept a widening loss curve.
This reflects a recurring challenge for AD-sector IPOs: technological leadership ≠ profitability — investors need to see a credible path from volume to margin.
Content is for reference only, not financial advice.