Longshine Technology Group Co., Ltd.

It earns mostly by selling custom software under contracts paid in installments as project milestones are met, such as signing, going live and customer acceptance, which sits closer to project-based billing than to a subscription model. It also earns from operating digital platforms on an ongoing basis, and it sells directly rather than through distributors or resellers.

It appears to scale mainly by connecting more electricity-supply assets, institutions and end users to platforms it already operates, and by winning additional contracts with large grid and energy-sector customers. This places it among a sizeable group of companies CompanyGraph classifies under the same broad kind of software economics, and its reported profitability has fluctuated rather than grown smoothly across the years on file. Structurally near is not the same as moving together or being interchangeable, it means CompanyGraph sees a shared way of operating or a detected pattern, not a price relationship or a comparison verdict.

It sits downstream of a broad set of supplier industries, and its own disclosures show its costs lean heavily on outsourced technical services and labor rather than physical materials. Its own account also shows a meaningful share of its revenue tied to a small number of large grid and energy-sector customers, a dependency covered further in its own risk disclosures.

State Grid, China Southern Power Grid and other large energy groups, together with major payments and telecommunications partners, account for a large share of its revenue, based on the company's own disclosures. Beyond these named customers, very large numbers of individual electricity meter users, EV charging users and utility institutions rely on platforms it operates, even where they are not its direct paying customer.

The company itself points to a long operating history in the electricity industry, an extensive network of partners, large-scale user and energy-asset data, full-stack grid software, and its self-developed Longshine Jiugong AI Energy Large Model as what it considers its strengths, though these are the company's own claims rather than something CompanyGraph has independently confirmed. CompanyGraph also observes that this is a fairly common shape of business rather than a rare one, and in at least one of its platforms the company itself names a specific rival, so this does not appear to be an uncontested position.

Its own disclosures show a body of signed contracts whose performance obligations are not yet fulfilled and stretch over several more years rather than being completed within a single period, pointing to some customers already being committed under multi-year agreements. CompanyGraph does not have disclosures describing specific termination terms, switching costs or customer retention rates that would explain why a customer could not move to another provider.

The industry pattern CompanyGraph tests for this kind of company is growth limited by how well it holds on to customers already signed up, weighed against the cost of winning and keeping them. What the company itself discloses points to a different and more specific limit: its growth follows the pace at which a small number of large grid and energy-group customers plan, approve and time their own projects, and it separately flags the rising cost of the artificial-intelligence investment it says it needs to keep up, without pointing to manufacturing capacity or material supply as a constraint.

The company's own risk disclosures name customer concentration first: a large share of its revenue rests on continued work for a small number of large customers including State Grid and China Southern Power Grid, with State Grid alone representing a large share of annual sales, and it states that a change in those relationships could hurt its profitability. It also lists, among the risks it discusses first, seasonal swings tied to grid-customer planning cycles and rising costs from AI investment, and CompanyGraph's own automated checks of the financial statements did not surface further warning signs, though those checks only read accounting data and would not be expected to catch a risk of this kind.

It operates under Chinese securities regulation and stock-exchange listing rules, and its electricity-related business requires a selling qualification spanning many provinces. Its own risk disclosures point to demand concentrated in the second half of the year because large grid customers plan and approve contracts on that cycle, to rising costs from continued investment in artificial-intelligence research, and to a modest amount of foreign-currency exposure, mainly in US dollars, alongside its home-currency business.