Matterport, Inc. (MTTR) came out with a quarterly loss of $0.02 per share versus the Zacks Consensus Estimate of a loss of $0.01. This compares to loss of $0.04 per share a year ago.
Matterport's acquisition by CoStar Group presents an arbitrage opportunity with a potential 12.2% return, though the stock has been relatively stable recently. Matterport's Q3 earnings showed strong subscription growth and progress toward profitability, but operational discipline remains a concern. Investors should weigh the attractive $5.50 deal premium against their risk appetite, considering the stock's current technical setup and market conditions.
Matterport, Inc. (MTTR) came out with a quarterly loss of $0.01 per share in line with the Zacks Consensus Estimate. This compares to loss of $0.04 per share a year ago.
| Name | Quantity | Cost | Value | Profit ($) | Gain (%) |
|---|---|---|---|---|---|
| MC Mike Clark Cassady Schiller Wealth Management LLC | 104 | $0.49 | - | -$0.49 | -100% |
| GB Guillaume Binnendijk Cigogne Management SA | 517,464 | $2.45M | $2.45M | $0.36 | - |
| - Industry | - Sector | Mr. Raymond J. Pittman CEO | NASDAQ (NMS) Exchange | 577096100 CUSIP |
| US Country | 438 Employees | - Last Dividend | - Last Split | 2 Feb 2021 IPO Date |
Matterport, Inc. is a pioneering spatial data company that is leading the field in the digitization and datafication of physical spaces, operating both in the United States and on a global scale. Headquartered in Sunnyvale, California, Matterport is driven by the mission to make every space more valuable and accessible through its cutting-edge technology. The company targets a diverse range of markets including residential and commercial real estate, facilities management and retail, architecture, engineering, construction (AEC), insurance and repair, as well as travel and hospitality, bringing innovative solutions to various challenges in these fields.
Matterport, Inc. offers a comprehensive suite of products and services designed to capture, digitize, and manage spatial data with ease and precision: