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Grid Dynamics Holdings, Inc. helps large enterprises modernize their software and put AI into everyday operations. Its engineers help clients choose AI applications, build the data and cloud infrastructure behind them, and move systems from trials into enterprise deployment. Clients pay mainly for the engineering time spent on their projects. Most revenue comes from U.S. clients, with retail, technology, media and telecom, and finance supplying the bulk of the business.
The company wins work directly and through relationships with technology providers including Google Cloud, AWS, Microsoft Azure, NVIDIA and Temporal Technologies. These partners help develop solutions and sell them jointly. Revenue is concentrated in a small group of large clients, with one customer contributing a substantial share. Engagements are generally individual projects rather than long-term commitments, and clients can often cancel without a charge.
The business therefore depends on clients continuing to fund projects and on keeping suitably skilled engineers assigned to paid work as projects end and new ones begin. Its handling of client data also brings legal constraints: privacy rules govern cross-border transfers and may require some data to remain in its country of origin.
The risk section is the longest, dullest part of the filing. This keeps only what can really hurt you: where it hits, how hard, when it plays out.
Every company claims an edge. Each one is checked against hard numbers like margins and returns: which hold, and which line gives way first.
EPAM competes with Grid Dynamics for retail, finance and technology clients’ spending on digital engineering, cloud and AI services. Watch EPAM’s work for these customer groups for clues to the project demand both companies face.
Globant competes with Grid Dynamics for large enterprises’ software engineering, cloud, data and AI transformation budgets. In 2025, the substantial majority of Globant’s engagements billed clients for time and materials, much like most Grid Dynamics projects, making demand for paid engineering work a useful comparison.
Endava competes with Grid Dynamics for enterprise spending on building software and digital products and delivering data and AI projects. Watch Endava’s large-client spending: its ten largest clients supplied 32.5% of revenue in fiscal 2025, making those accounts important to its competitive position.
CI&T competes with Grid Dynamics as a digital specialist paid by enterprises to develop software and provide consulting. Watch its repeat-client business: a substantial part of CI&T’s revenue comes from prior-year customers, but many agreements and work orders can be terminated with or without cause.
Accenture competes with Grid Dynamics for enterprise technology consulting and transformation projects. Its consulting work is the closer comparison to Grid Dynamics’ AI, data and cloud engineering services, rather than its work running services for clients.
Cognizant competes with Grid Dynamics for enterprise spending on application development, engineering and using AI to modernize technology. Its financial-services and communications, media and technology businesses offer customer-group comparisons with Grid Dynamics, rather than treating all of Cognizant’s services as equally relevant.
Infosys competes with Grid Dynamics for enterprise application development, data and AI, cloud and digital commerce work. Watch demand for those services, which overlap directly with the systems and commerce platforms Grid Dynamics builds for enterprise clients.
Wipro competes with Grid Dynamics for enterprise application development, engineering, data analytics and AI transformation projects. Watch its work helping clients move AI from experiments into wider use through Wipro Intelligence, an overlap with Grid Dynamics’ enterprise AI deployment services.
DXC’s Consulting & Engineering Services business competes with Grid Dynamics for enterprise custom software, data analytics and digital transformation work. That segment is the relevant line to watch, rather than DXC’s separate infrastructure and insurance software businesses.
CGI competes with Grid Dynamics for enterprise projects advising on technology, connecting systems and delivering digital transformation. Its consulting and systems-integration work is the closer comparison; CGI also takes full or partial responsibility for running clients’ IT functions.
Grid Dynamics Holdings, Inc. earningsThis company
Grid Dynamics earns fees from enterprise AI, data and digital-engineering projects, and this report will show whether revenue from that work can grow without delivery costs taking a bigger bite.
Read revenue growth alongside gross margin, the share of revenue left after direct delivery costs. Rising revenue with margin holding would mean added client work is covering the cost of delivery. Slower revenue or a falling margin would point to weaker project demand, or delivery costs such as staffing rising faster than client fees. The conclusion is whether Grid Dynamics can turn client demand into profitable work.
EPAM SYSTEMS, INC. earningsEPAM
EPAM’s report will show how retail, finance and technology clients are spending on digital-engineering, cloud and AI projects—the work EPAM and Grid Dynamics compete to win.
Look at EPAM’s project demand from retail, finance and technology clients. If those areas hold up, clients are still funding digital-engineering, cloud and AI work that both companies pursue, supporting the demand backdrop for Grid Dynamics. If they weaken, clients may be pulling back on the same kinds of projects, putting pressure on Grid Dynamics’ opportunities. The takeaway is whether these customers’ project budgets are holding or shrinking.
