Thinkific Labs Earnings Calls
| Release date | May 04, 2026 |
| EPS estimate | -$0.0150 |
| EPS actual | -$0.0200 |
| EPS Surprise | -33.33% |
| Revenue estimate | 18.593M |
| Revenue actual | 18.691M |
| Revenue Surprise | 0.527% |
| Release date | Mar 05, 2026 |
| EPS estimate | $0.0100 |
| EPS actual | $0.0100 |
| Revenue estimate | 18.578M |
| Revenue actual | 18.7M |
| Revenue Surprise | 0.656% |
| Release date | Nov 12, 2025 |
| EPS estimate | - |
| EPS actual | $0.0025 |
| Revenue estimate | 18.603M |
| Revenue actual | 18.574M |
| Revenue Surprise | -0.153% |
| Release date | Aug 05, 2025 |
| EPS estimate | - |
| EPS actual | $0.0054 |
| Revenue estimate | 17.894M |
| Revenue actual | 18.098M |
| Revenue Surprise | 1.14% |
Last 4 Quarters for Thinkific Labs
Below you can see how THNCF 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 | Aug 05, 2025 |
| Price on release | $1.90 |
| EPS estimate | - |
| EPS actual | $0.0054 |
| Date | Price |
|---|---|
| Jul 30, 2025 | $1.90 |
| Jul 31, 2025 | $1.90 |
| Aug 01, 2025 | $1.58 |
| Aug 04, 2025 | $1.90 |
| Aug 05, 2025 | $1.90 |
| Aug 06, 2025 | $1.57 |
| Aug 07, 2025 | $1.57 |
| Aug 08, 2025 | $1.58 |
| Aug 11, 2025 | $1.57 |
| 4 days before | 0% |
| 4 days after | -17.37% |
| On release day | -17.47% |
| Change in period | -17.37% |
| Release date | Nov 12, 2025 |
| Price on release | $1.51 |
| EPS estimate | - |
| EPS actual | $0.0025 |
| Date | Price |
|---|---|
| Nov 06, 2025 | $1.61 |
| Nov 07, 2025 | $1.61 |
| Nov 10, 2025 | $1.61 |
| Nov 11, 2025 | $1.61 |
| Nov 12, 2025 | $1.51 |
| Nov 13, 2025 | $1.44 |
| Nov 14, 2025 | $1.35 |
| Nov 17, 2025 | $1.35 |
| Nov 18, 2025 | $1.35 |
| 4 days before | -6.21% |
| 4 days after | -10.60% |
| On release day | -4.64% |
| Change in period | -16.15% |
| Release date | Mar 05, 2026 |
| Price on release | $1.36 |
| EPS estimate | $0.0100 |
| EPS actual | $0.0100 |
| Date | Price |
|---|---|
| Feb 27, 2026 | $1.35 |
| Mar 02, 2026 | $1.35 |
| Mar 03, 2026 | $1.33 |
| Mar 04, 2026 | $1.33 |
| Mar 05, 2026 | $1.36 |
| Mar 06, 2026 | $1.26 |
| Mar 09, 2026 | $1.26 |
| Mar 10, 2026 | $1.08 |
| Mar 11, 2026 | $1.16 |
| 4 days before | 0.85% |
| 4 days after | -14.80% |
| On release day | -7.82% |
| Change in period | -14.07% |
| Release date | May 04, 2026 |
| Price on release | $1.40 |
| EPS estimate | -$0.0150 |
| EPS actual | -$0.0200 |
| EPS surprise | -33.33% |
| Date | Price |
|---|---|
| Apr 28, 2026 | $1.12 |
| Apr 29, 2026 | $1.40 |
| Apr 30, 2026 | $1.40 |
| May 01, 2026 | $1.40 |
| May 04, 2026 | $1.40 |
| May 05, 2026 | $1.40 |
| May 06, 2026 | $1.40 |
| May 07, 2026 | $1.40 |
| May 08, 2026 | $1.40 |
| 4 days before | 24.56% |
| 4 days after | 0% |
| On release day | 0% |
| Change in period | 24.56% |
Thinkific Labs Earnings Call Transcript Summary of Q1 2026
Thinkific reported Q1 FY2026 revenue of $18.7M, up 5% YoY, with ARR of $61.3M (+2% YoY). Growth was led by the Plus segment (12% growth, $5.1M), while self-serve growth slowed (2%) reflecting a deliberate strategic shift and reduced lower-tier customer acquisition spend. Commerce revenue exceeded $3.5M for the first time; GPV rose 16% YoY to $75.7M. Gross margin was 72% (down 2 pts YoY) driven by revenue mix. R&D spend rose materially (to $7.1M) due to increased AI investments and R&D hiring, contributing to an adjusted EBITDA loss of about $0.5M. Cash was $49.4M at quarter end. Management is executing two major transitions: moving upmarket to larger, higher-ARPU customers and becoming an AI-centric product organization. Thinker, the company’s new agentic AI product, launched in Q1 and is being positioned as outcome- and usage-based; adoption is early and pricing models are being refined. Q2 guidance: revenue $18.2M–$18.5M (≈1% YoY growth at midpoint) and adjusted EBITDA of -2% to -5% of revenue, with seasonal commerce volatility and some one-time costs (company gathering, CPTO transition) weighing on near-term results. Management emphasizes that current investments in AI and R&D are intended to accelerate product velocity, close gaps for larger customers, increase ARPU, and drive longer-term revenue and efficiency gains.
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