Teradata Corporation (TDC) Company Overview

What does Teradata Corporation do?

Teradata Corporation, traded on the New York Stock Exchange as TDC, supplies enterprise data, analytics, and AI software. Its platform supports large, governed workloads across public cloud, private cloud, on-premises systems, and hybrid combinations. Customers include major banks, retailers, manufacturers, telecommunications operators, healthcare organizations, and public agencies.

Which products and customers define the company?

Teradata is no longer only a data-warehouse vendor. Its official platform overview describes production-scale AI, semantic context, workload management, query optimization, and flexible deployment. Products include cloud and on-premises capacity, AI Services, AI Factory, AI Studio with ClearScape Analytics, and QueryGrid for accessing data across heterogeneous systems.

How does Teradata make money?

The economics are subscription-led. Customers buy cloud or on-premises capacity, maintenance and upgrade rights, recurring AI services, and support. Many contracts combine a fixed capacity commitment with optional consumption, producing recurring revenue while leaving reported results sensitive to contract timing, upfront billings, migrations, and deployment mix.

Which revenue stream is most important?

Recurring revenue represented 90.1% of Q1 2026 revenue, up from 85.7% a year earlier. Product Sales generated $401 million of revenue and $281 million of segment gross profit; Consulting Services produced $43 million and $2 million, respectively. That gap explains management’s shift away from non-core consulting toward higher-margin software and partners.

How should ARR be interpreted?

ARR is a point-in-time measure of active recurring contracts, not GAAP revenue. It helps assess installed-base durability and migration progress. Public cloud ARR growth can initially dilute gross margin because third-party infrastructure costs enter cost of revenue; scale, pricing, and expansion must eventually offset legacy maintenance and on-premises declines.

What does Teradata’s latest quarter show?

The quarter ended March 31, 2026 is the latest reported period. Teradata’s Q1 2026 earnings release showed better recurring revenue, public cloud ARR, gross margin, and adjusted profitability, while the SAP settlement heavily distorted GAAP results.

Why is the SAP settlement a major comparability issue?

The settlement added $280 million to Q1 after-tax net income and is expected to add $302 million to full-year operating cash flow after taxes. It strengthened liquidity but did not represent ordinary software cash generation. Management therefore reports adjusted free cash flow excluding settlement proceeds, legal costs, and incremental taxes.

What does management expect next?

For Q2 2026, management guided to recurring revenue growth of negative 2% to flat, total revenue growth of negative 4% to negative 2%, and non-GAAP diluted EPS of $0.53 to $0.57. Full-year guidance remained 2% to 4% Total ARR growth, flat to 2% recurring revenue growth, negative 2% to flat total revenue growth, $2.55 to $2.65 non-GAAP EPS, and $320 million to $340 million adjusted free cash flow. The softer Q2 range highlights timing sensitivity in annual upfront and enterprise transactions.

How has Teradata’s strategy evolved?

Teradata’s present strategy is a transformation layered onto a mature installed base. The company grew around high-performance enterprise data warehousing, then adapted to elastic cloud consumption, open ecosystems, and AI. Its objective is to retain mission-critical workloads while migrating customers and adding hybrid AI use cases.

1. 1979
   Teradata was incorporated. Decades of work on large-scale analytical systems created the workload-management intellectual property and industry models that remain central to its differentiation.
2. 2007
   The company completed its separation from NCR and began trading independently as TDC. The investor FAQ records the September 30, 2007 spin-off.
3. 2020
   Steve McMillan became chief executive during a transition toward cloud subscriptions, customer success, and tighter execution. Leadership increasingly measured progress through ARR and cloud expansion.
4. 2022
   Teradata launched VantageCloud Lake on a new cloud-native architecture and relaunched ClearScape Analytics, broadening the platform beyond traditional warehouse workloads. The official launch announcement framed this as a cloud-native expansion.
5. 2024
   A sales realignment and global restructuring led Teradata to manage Product Sales and Consulting Services as two operating segments, clarifying the superior economics of software relative to services.
6. 2025
   The company repositioned around an Autonomous Knowledge Platform, AI Services, AgentBuilder, and customer-intelligence agents. It reported more than 150 AI-focused customer engagements during 2025 in an official January 2026 update.
7. 2026
   The $480 million gross SAP settlement materially increased cash, while management continued to emphasize expansion across cloud, on-premises, and hybrid deployments rather than a cloud-only identity.

What gives Teradata a competitive advantage?

Why can switching costs be meaningful?

Customers may have years of data models, governance rules, queries, workflows, controls, and staff expertise embedded in Teradata. Replacing that environment requires migration, validation, retraining, and operational risk. These switching costs do not prevent exits, but they support retention and give Teradata opportunities to migrate or expand workloads.

Where is the moat most defensible?

Key resources include workload management, query optimization, massively parallel architecture, industry data models, and experience with complex enterprises. Deployment across major public clouds, private environments, and on-premises systems matters for regulated customers facing sovereignty, latency, security, or cost constraints. Portable licensing reduces the need to choose one endpoint immediately.

The moat is conditional. It is strongest where performance, continuity, governance, and deployment choice outweigh cloud-native simplicity, and weaker for greenfield workloads that can adopt a competing platform without migration costs.

Who are Teradata’s main competitors?

Teradata’s 2025 Form 10-K names AWS, Databricks, Google Cloud, Microsoft Azure, and Snowflake among major competitors. Competition spans databases, cloud analytics, lakehouses, AI enablement, integration, and services. AWS, Azure, and Google are also hosting partners, creating a co-opetition relationship.

What determines market position?

Winning depends on price-performance, total cost, scalability, availability, security, partners, references, and AI capability. Teradata’s best position is as a specialist for difficult, high-value workloads and a neutral layer across mixed environments. Hyperscalers can counter with bundling, procurement leverage, and integrated native services.

How financially strong is Teradata?

Teradata entered 2026 with recurring software cash flow, moderate debt, low capital expenditure, and substantial repurchase capacity. The SAP settlement then lifted liquidity sharply. Financial analysis should separate sustainable operations from that one-time cash benefit.

What did FY2025 establish as the baseline?

How should cash conversion and reinvestment be judged?

FY2025 operating cash flow of $305 million less $20 million of property, equipment, and capitalized-software spending produced $285 million of free cash flow. R&D was $280 million, or 16.8% of revenue, showing high accounting reinvestment but low physical capital intensity. At March 31, 2026, cash exceeded funded debt by about $367 million, with no revolver borrowings against a $400 million facility.

Who owns Teradata stock, and why does governance matter?

Teradata has one common share class and no founder control. The 2026 proxy statement reported 94,646,600 shares outstanding on March 10, 2026 and three holders above 5%, making institutional influence more important than insider voting power.

How are management incentives aligned?

Nine of ten directors were independent, with separate chair and CEO roles. The 2025 annual incentive weighted constant-currency Total ARR growth at 40%, public cloud ARR growth at 20%, and non-GAAP operating income at 40%. The 2023–2025 long-term plan weighted cumulative free cash flow at 40%, Total ARR at 30%, and public cloud ARR at 30%. These measures align pay with recurring growth and cash generation, although the proxy’s 11.23% fully diluted equity-plan overhang makes dilution worth monitoring.

Which KPIs matter most for Teradata?

A useful dashboard must combine transformation and economics. Revenue can decline while recurring mix improves, and cloud ARR can rise while infrastructure costs pressure gross margin. ARR, retention, mix, margins, cash conversion, and capital allocation should be read together.

What is the core KPI equation?

The key test is whether cloud growth and retention produce durable Total ARR expansion while scale, pricing, and efficiency absorb higher public-cloud infrastructure expense. That combination—not cloud growth alone—determines whether the transition creates value.

What opportunities and risks could change Teradata’s outlook?

Where could growth accelerate?

The largest opportunity is the move from AI experiments to production systems requiring governed data, business context, low-latency decisions, and reliable operations. AI Services, AI Factory, autonomous customer intelligence, and AgentStack-related capabilities target that control layer. Hybrid demand also helps where regulated enterprises retain sensitive workloads privately while using public cloud selectively. Existing-customer expansion can be efficient because Teradata already understands their data and governance.

International exposure broadens demand but introduces more than 30 functional currencies, local regulation, sovereignty requirements, and uneven cloud availability. No customer exceeded 10% of FY2025 revenue, limiting single-client concentration, although large enterprise transactions still create quarterly volatility.

What risks are most material?

Why does Teradata’s business model matter for valuation?

A valuation should not mechanically apply either a high-growth cloud multiple or a declining legacy-software multiple. Teradata combines a mature installed base, modest Total ARR growth, faster public cloud growth, meaningful free cash flow, and active repurchases. The central question is whether hybrid AI and cloud expansion stabilize revenue before legacy and consulting contraction erode the base.

Which DCF drivers are most sensitive?

Terminal assumptions require discipline. Sustained mid-single-digit growth would need evidence that Teradata can win AI workloads despite hyperscaler and cloud-native competition. Models should reflect migration risk, cloud-vendor dependence, and pricing pressure. Offsetting factors include $816 million of cash at March 31, 2026, low capital expenditure, and substantial remaining buyback authorization.

What is the key takeaway from Teradata analysis?

Teradata is converting a deeply embedded enterprise analytics base into a hybrid AI and knowledge platform. High recurring mix, strong software gross profit, low capital intensity, workload-management expertise, deployment flexibility, and improved liquidity support the story. Q1 2026 showed recurring revenue and cloud ARR growth alongside better adjusted operating margin.

The main constraints are FY2025 revenue contraction, the need for cloud growth to offset legacy and consulting declines, and rivals with larger ecosystems. The SAP settlement improved liquidity but complicates GAAP comparability. Institutional ownership, ARR- and cash-linked incentives, and buybacks can reinforce discipline, while dilution, execution, and repurchase timing remain important.