
TDC beats Q3 earnings estimates despite lower revenues, fueled by strong cloud ARR growth, AI innovation and a raised 2026 earnings outlook.
Teradata Corporation is a provider of hybrid cloud analytics software. The company is headquartered in San Diego, California.
| Revenue (TTM) | $1.67B |
| Gross Profit (TTM) | $1.02B |
| EBITDA | $218.00M |
| Operating Margin | 13.50% |
| Return on Equity | 109.60% |
| Return on Assets | 4.61% |
| Revenue/Share (TTM) | $17.98 |
| Book Value | $6.62 |
| Price-to-Book | 5.13 |
| Price-to-Sales (TTM) | 1.77 |
| EV/Revenue | 1.613 |
| EV/EBITDA | 3.84 |
| Quarterly Earnings Growth (YoY) | -4.80% |
| Quarterly Revenue Growth (YoY) | -4.10% |
| Shares Outstanding | $93.00M |
| Float | $80.33M |
| % Insiders | 0.99% |
| % Institutions | 136.64% |
Volatility is currently contracting

TDC beats Q3 earnings estimates despite lower revenues, fueled by strong cloud ARR growth, AI innovation and a raised 2026 earnings outlook.

Teradata Corporation (TDC) Q3 2026 Earnings Call Transcript

Cash flow from operations of $91 million and Adjusted Free Cash Flow of $96 million(3) Third quarter GAAP diluted EPS of $0.40 and non-GAAP diluted EPS of $0.70(2) Reiterate full year outlook for Total ARR and Adjusted Free Cash Flow; narrowing the Total Revenue and Recurring Revenue outlook to the high-end of the range SAN DIEGO, Nov. 5, 2026 /PRNewswire/ -- Teradata (NYSE: TDC ) today announced its third quarter 2026 financial results. "In Q3, Teradata marked another quarter of progress against the goals we set at the start of the year, driving total ARR growth, improving profitability and delivering strong free cash flow," said Steve McMillan, president and CEO, Teradata.

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New capabilities protect the sensitive data and intelligence behind enterprise AI while keeping mission-critical operations available and recoverable SAN DIEGO, Oct. 20, 2026 /PRNewswire/ -- Teradata (NYSE: TDC) today announced new privacy, security, and resiliency capabilities designed to address one of the defining challenges of enterprise AI: how sensitive data is protected, who and what can access it, and whether it remains available and recoverable when something goes wrong. Teradata addresses all three through an integrated approach that reduces raw identity exposure, enforces protection closer to the data, and keeps the intelligence powering AI available and recoverable.

New Teradata Factory and Teradata Sovereign Cloud on Google Distributed Cloud capabilities give enterprises greater control over where their most sensitive data and AI operate SAN DIEGO, Oct. 20, 2026 /PRNewswire/ -- Teradata (NYSE: TDC) today announced a portfolio of deployment and platform capabilities designed to give governments and enterprises greater control over the data, AI, and technology that power their most critical operations. This includes expanded capabilities for Teradata Factory with AI Studio and the availability of Teradata Sovereign Cloud on Google Distributed Cloud air-gapped environment.

Earnings conference call to begin at 1:30 p.m. PT on Thursday, November 5, 2026 SAN DIEGO, Oct. 15, 2026 /PRNewswire/ -- Teradata Corporation (NYSE: TDC) today announced that it will release its third quarter 2026 financial results after the market closes on Thursday, November 5, 2026.

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New distributed Python capability accelerates large-scale AI operations while keeping data and compute within the Teradata platform SAN DIEGO, Oct. 14, 2026 /PRNewswire/ -- Teradata (NYSE: TDC) today announced the general availability of Elastic Python Compute within AI Studio. The capability gives enterprise data science teams a managed, distributed Python environment for scaling AI compute and machine learning workloads through parallel Python execution for data engineering, machine learning, and model development.

Enterprise AI customer engagements show how healthcare and life sciences organizations are activating intelligence from their data and institutional knowledge at scale SAN DIEGO, Oct. 7, 2026 /PRNewswire/ -- Teradata (NYSE: TDC) showcased three customer engagements that demonstrate how leading healthcare and life sciences organizations are closing the gap between institutional knowledge and real-world outcomes, advancing disease prediction, improving patient engagement at scale, and navigating high-stakes regulatory initiatives with governed, in-database intelligence. Each engagement demonstrates how AI can move from concept to measurable outcome without compromising the governance, security, and trust that these environments demand.
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