Movano Earnings Calls
| Release date | May 19, 2026 |
| EPS estimate | -$2.65 |
| EPS actual | -$3.13 |
| EPS Surprise | -18.07% |
| Revenue estimate | 7.625M |
| Revenue actual | 510K |
| Revenue Surprise | -93.31% |
| Release date | Mar 31, 2026 |
| EPS estimate | -$4.93 |
| EPS actual | -$4.77 |
| EPS Surprise | 3.32% |
| Revenue estimate | 4.805M |
| Revenue actual | 44K |
| Revenue Surprise | -99.08% |
| Release date | Nov 14, 2025 |
| EPS estimate | -$7.10 |
| EPS actual | -$4.73 |
| EPS Surprise | 33.38% |
| Revenue estimate | 3.41M |
| Revenue actual | 80K |
| Revenue Surprise | -97.65% |
| Release date | Sep 24, 2025 |
| EPS estimate | -$7.00 |
| EPS actual | -$7.30 |
| EPS Surprise | -4.29% |
| Revenue estimate | 3.875M |
| Revenue actual | 103K |
| Revenue Surprise | -97.34% |
Last 4 Quarters for Movano
Below you can see how MOVE 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 | Sep 24, 2025 |
| Price on release | $0.557 |
| EPS estimate | -$7.00 |
| EPS actual | -$7.30 |
| EPS surprise | -4.29% |
| Date | Price |
|---|---|
| Sep 18, 2025 | $0.617 |
| Sep 19, 2025 | $0.588 |
| Sep 22, 2025 | $0.591 |
| Sep 23, 2025 | $0.594 |
| Sep 24, 2025 | $0.557 |
| Sep 25, 2025 | $0.537 |
| Sep 26, 2025 | $0.554 |
| Sep 29, 2025 | $0.565 |
| Sep 30, 2025 | $0.574 |
| 4 days before | -9.74% |
| 4 days after | 3.09% |
| On release day | -3.57% |
| Change in period | -6.95% |
| Release date | Nov 14, 2025 |
| Price on release | $10.70 |
| EPS estimate | -$7.10 |
| EPS actual | -$4.73 |
| EPS surprise | 33.38% |
| Date | Price |
|---|---|
| Nov 10, 2025 | $11.91 |
| Nov 11, 2025 | $12.99 |
| Nov 12, 2025 | $12.00 |
| Nov 13, 2025 | $10.25 |
| Nov 14, 2025 | $10.70 |
| Nov 17, 2025 | $10.15 |
| Nov 18, 2025 | $11.12 |
| Nov 19, 2025 | $10.06 |
| Nov 20, 2025 | $10.08 |
| 4 days before | -10.16% |
| 4 days after | -5.79% |
| On release day | -5.19% |
| Change in period | -15.37% |
| Release date | Mar 31, 2026 |
| Price on release | $13.82 |
| EPS estimate | -$4.93 |
| EPS actual | -$4.77 |
| EPS surprise | 3.32% |
| Date | Price |
|---|---|
| Mar 25, 2026 | $14.35 |
| Mar 26, 2026 | $14.79 |
| Mar 27, 2026 | $18.34 |
| Mar 30, 2026 | $15.53 |
| Mar 31, 2026 | $13.82 |
| Apr 01, 2026 | $11.80 |
| Apr 02, 2026 | $11.51 |
| Apr 06, 2026 | $10.34 |
| Apr 07, 2026 | $12.13 |
| 4 days before | -3.69% |
| 4 days after | -12.23% |
| On release day | -14.62% |
| Change in period | -15.47% |
| Release date | May 19, 2026 |
| Price on release | $22.20 |
| EPS estimate | -$2.65 |
| EPS actual | -$3.13 |
| EPS surprise | -18.07% |
| Date | Price |
|---|---|
| May 13, 2026 | $19.25 |
| May 14, 2026 | $20.92 |
| May 15, 2026 | $19.90 |
| May 18, 2026 | $18.44 |
| May 19, 2026 | $22.20 |
| May 20, 2026 | $23.89 |
| May 21, 2026 | $24.46 |
| May 22, 2026 | $22.89 |
| May 26, 2026 | $23.12 |
| 4 days before | 15.32% |
| 4 days after | 4.14% |
| On release day | 7.61% |
| Change in period | 20.10% |
Movano Earnings Call Transcript Summary of Q1 2026
Key points for investors: Corvex completed a March 19, 2026 merger (formerly Movano Inc.) that folded in Corvex OpCo and issued preferred shares that are or will be convertible into common stock; a 0.358 share stock dividend was distributed April 6, 2026. Reported Q1 2026 results reflect legacy healthcare operations for the full quarter but include Corvex's AI platform for only 12 days: reported revenue was $0.51M and an operating loss of $4.8M. On a pro forma basis (assuming the acquisition closed Jan 1, 2025), Q1 revenue was $3.65M, nearly all from the AI platform, and adjusted pro forma EBITDA was a loss of $0.933M. At March 31, 2026 total assets were $604M, including over $29M in cash. Management positions Corvex as a vertically integrated AI infrastructure company focused on three complementary layers—AI factories (large-scale compute deployments), a forthcoming token factory (inference/API layer for models), and confidential computing software (security for sensitive AI workloads)—targeting model labs, hyperscalers, government initiatives and enterprises. The company emphasizes differentiation via scale, deployment speed, orchestration/software, inference optimization and security, and expects software/inference layers to drive more recurring, asset-light revenue over time. Management noted they are early in public-company development and did not take questions on the call.
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