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Procore Technologies Earnings Calls
| Release date | Jul 30, 2026 |
| EPS estimate | $0.410 |
| EPS actual | - |
| Revenue estimate | 365.863M |
| Revenue actual | - |
| Expected change | +/- 5.00% |
| Release date | May 05, 2026 |
| EPS estimate | $0.360 |
| EPS actual | $0.340 |
| EPS Surprise | -5.56% |
| Revenue estimate | 352.816M |
| Revenue actual | 359.283M |
| Revenue Surprise | 1.83% |
| Release date | Feb 12, 2026 |
| EPS estimate | $0.350 |
| EPS actual | $0.370 |
| EPS Surprise | 5.71% |
| Revenue estimate | 340.804M |
| Revenue actual | 349.107M |
| Revenue Surprise | 2.44% |
| Release date | Nov 05, 2025 |
| EPS estimate | $0.323 |
| EPS actual | $0.420 |
| EPS Surprise | 30.07% |
| Revenue estimate | 328.278M |
| Revenue actual | 338.851M |
| Revenue Surprise | 3.22% |
Last 4 Quarters for Procore Technologies
Below you can see how PCOR 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 | Nov 05, 2025 |
| Price on release | $71.54 |
| EPS estimate | $0.323 |
| EPS actual | $0.420 |
| EPS surprise | 30.07% |
| Date | Price |
|---|---|
| Oct 30, 2025 | $72.00 |
| Oct 31, 2025 | $73.82 |
| Nov 03, 2025 | $74.20 |
| Nov 04, 2025 | $70.69 |
| Nov 05, 2025 | $71.54 |
| Nov 06, 2025 | $79.09 |
| Nov 07, 2025 | $79.60 |
| Nov 10, 2025 | $79.16 |
| Nov 11, 2025 | $78.85 |
| 4 days before | -0.639% |
| 4 days after | 10.22% |
| On release day | 10.55% |
| Change in period | 9.51% |
| Release date | Feb 12, 2026 |
| Price on release | $47.88 |
| EPS estimate | $0.350 |
| EPS actual | $0.370 |
| EPS surprise | 5.71% |
| Date | Price |
|---|---|
| Feb 06, 2026 | $51.29 |
| Feb 09, 2026 | $50.50 |
| Feb 10, 2026 | $52.45 |
| Feb 11, 2026 | $48.64 |
| Feb 12, 2026 | $47.88 |
| Feb 13, 2026 | $52.34 |
| Feb 17, 2026 | $52.21 |
| Feb 18, 2026 | $53.06 |
| Feb 19, 2026 | $52.02 |
| 4 days before | -6.65% |
| 4 days after | 8.65% |
| On release day | 9.31% |
| Change in period | 1.42% |
| Release date | May 05, 2026 |
| Price on release | $54.69 |
| EPS estimate | $0.360 |
| EPS actual | $0.340 |
| EPS surprise | -5.56% |
| Date | Price |
|---|---|
| Apr 29, 2026 | $55.98 |
| Apr 30, 2026 | $56.58 |
| May 01, 2026 | $59.32 |
| May 04, 2026 | $62.10 |
| May 05, 2026 | $54.69 |
| May 06, 2026 | $52.96 |
| May 07, 2026 | $53.52 |
| May 08, 2026 | $53.28 |
| May 11, 2026 | $50.10 |
| 4 days before | -2.30% |
| 4 days after | -8.39% |
| On release day | -3.16% |
| Change in period | -10.50% |
| Release date | Jul 30, 2026 |
| Price on release | - |
| EPS estimate | $0.410 |
| EPS actual | - |
| Date | Price |
|---|---|
| Jul 06, 2026 | $44.04 |
| Jul 07, 2026 | $44.72 |
| Jul 08, 2026 | $43.85 |
| Jul 09, 2026 | $44.02 |
| Jul 10, 2026 | $43.33 |
Procore Technologies Earnings Call Transcript Summary of Q1 2026
Procore reported a strong Q1 FY26: revenue of $359M (+15.7% YoY), non-GAAP operating margin of 17% (650 bps YoY expansion), and free cash flow of $56M (+20% YoY). Management emphasized rapid progress on Procore AI (including the Datagrid acquisition), early customer traction for agentic AI workflows (field voice interface, contract review agent, event-driven triggers), and a deliberate go-to-market ramp that expands sales coverage in Q3. Flagship product momentum continues (fast adoption of native scheduling, materials management for specialty contractors, CDE for Europe) with several large account expansions cited. Strategic partnerships (notably NVIDIA) and internal AI adoption in R&D are expected to improve product velocity and generate future operating efficiencies. CFO Rachel Pyles reiterated a capital-allocation framework prioritizing high-ROI organic investments, targeted M&A, and opportunistic buybacks, and raised FY26 guidance: revenue $1.499B–$1.53B and non-GAAP operating margin to 18.0%–18.5%, while maintaining a 19% free cash flow margin. Management framed AI as both a material new monetization opportunity and a source of downside protection via their volume-based platform, and expects AI-related gross margin pressure from compute to be more than offset by operating efficiencies over time.
