Teradata Earnings Calls
| Release date | Nov 04, 2025 |
| EPS estimate | $0.536 |
| EPS actual | $0.720 |
| EPS Surprise | 34.33% |
| Revenue estimate | 400.35M |
| Revenue actual | 416M |
| Revenue Surprise | 3.91% |
| Release date | Aug 05, 2025 |
| EPS estimate | $0.403 |
| EPS actual | $0.0938 |
| EPS Surprise | -76.71% |
| Revenue estimate | 410.964M |
| Revenue actual | 408M |
| Revenue Surprise | -0.721% |
| Release date | May 06, 2025 |
| EPS estimate | $0.562 |
| EPS actual | $0.660 |
| EPS Surprise | 17.44% |
| Revenue estimate | 407.005M |
| Revenue actual | 418M |
| Revenue Surprise | 2.70% |
| Release date | Feb 11, 2025 |
| EPS estimate | $0.422 |
| EPS actual | $0.257 |
| EPS Surprise | -39.20% |
| Revenue estimate | 441.237M |
| Revenue actual | 409M |
| Revenue Surprise | -7.31% |
Last 4 Quarters for Teradata
Below you can see how 0LEE.L performed 4 days prior and 4 days after releasing the earnings report. Also, you can see the pre-estimates and the actual earnings. This information can give you a slight idea of what you might expect for the next quarter's release.
| Release date | Feb 11, 2025 |
| Price on release | $31.04 |
| EPS estimate | $0.422 |
| EPS actual | $0.257 |
| EPS surprise | -39.20% |
| Date | Price |
|---|---|
| Feb 05, 2025 | $31.92 |
| Feb 06, 2025 | $31.38 |
| Feb 07, 2025 | $31.38 |
| Feb 10, 2025 | $31.23 |
| Feb 11, 2025 | $31.04 |
| Feb 12, 2025 | $24.96 |
| Feb 13, 2025 | $24.66 |
| Feb 14, 2025 | $24.70 |
| Feb 17, 2025 | $24.70 |
| 4 days before | -2.76% |
| 4 days after | -20.44% |
| On release day | -19.59% |
| Change in period | -22.63% |
| Release date | May 06, 2025 |
| Price on release | $21.99 |
| EPS estimate | $0.562 |
| EPS actual | $0.660 |
| EPS surprise | 17.44% |
| Date | Price |
|---|---|
| Apr 30, 2025 | $21.30 |
| May 01, 2025 | $21.77 |
| May 02, 2025 | $22.16 |
| May 05, 2025 | $22.37 |
| May 06, 2025 | $21.99 |
| May 07, 2025 | $22.07 |
| May 08, 2025 | $22.66 |
| May 09, 2025 | $22.66 |
| May 12, 2025 | $23.27 |
| 4 days before | 3.26% |
| 4 days after | 5.82% |
| On release day | 0.342% |
| Change in period | 9.27% |
| Release date | Aug 05, 2025 |
| Price on release | $20.36 |
| EPS estimate | $0.403 |
| EPS actual | $0.0938 |
| EPS surprise | -76.71% |
| Date | Price |
|---|---|
| Jul 30, 2025 | $22.02 |
| Jul 31, 2025 | $21.26 |
| Aug 01, 2025 | $20.14 |
| Aug 04, 2025 | $20.37 |
| Aug 05, 2025 | $20.36 |
| Aug 06, 2025 | $21.93 |
| Aug 07, 2025 | $21.10 |
| Aug 08, 2025 | $20.59 |
| Aug 11, 2025 | $20.40 |
| 4 days before | -7.54% |
| 4 days after | 0.189% |
| On release day | 7.68% |
| Change in period | -7.36% |
| Release date | Nov 04, 2025 |
| Price on release | $20.68 |
| EPS estimate | $0.536 |
| EPS actual | $0.720 |
| EPS surprise | 34.33% |
| Date | Price |
|---|---|
| Oct 29, 2025 | $21.21 |
| Oct 30, 2025 | $21.06 |
| Oct 31, 2025 | $20.88 |
| Nov 03, 2025 | $20.87 |
| Nov 04, 2025 | $20.68 |
| Nov 05, 2025 | $26.36 |
| Nov 06, 2025 | $27.83 |
| Nov 07, 2025 | $27.33 |
| Nov 10, 2025 | $27.64 |
| 4 days before | -2.49% |
| 4 days after | 33.63% |
| On release day | 27.47% |
| Change in period | 30.30% |
Teradata Earnings Call Transcript Summary of Q3 2025
Teradata reported a strong Q3 2025 with revenue and recurring revenue beating guidance, non-GAAP EPS of $0.72 (well above outlook), and free cash flow of $88M (+28% YoY). Total ARR returned to positive growth for a second consecutive quarter (total ARR up 1% reported, flat in constant currency) driven by improved retention and expansions; cloud ARR grew 11% with a cloud net expansion rate of 109%. Gross margins improved (total gross margin 62.3%), services margin turned positive after cost alignment, operating margin and EPS were ahead of expectations. Management reiterated full-year guidance for ARR and revenue, raised FY non-GAAP EPS guidance to $2.38–$2.42, and narrowed free cash flow guidance to $260M–$280M while planning to return ~50% of free cash flow via buybacks (Q3 repurchases ≈ $30M). Strategy update: Teradata is positioning itself as an “autonomous AI and knowledge platform” for Agentic AI and hybrid deployments (on‑prem, cloud, private cloud), launching new capabilities (Enterprise Vector Store, MCP Server, AgentBuilder, AI services, AI Factory) and emphasizing workload performance, hybrid flexibility, industry data models, and partner integrations. Management expects AI-driven workloads (Agentic AI) to increase platform demand and compute needs dramatically and views Teradata’s architecture and query engine as a competitive moat for these high-concurrency, low-latency AI workloads. Key risks noted include deployment mix uncertainty (cloud vs on‑prem) that may impact ARR composition and near-term linearity.
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