$2.420
-0.010 (-0.41%)Zum Schluss
- High
- 2.440
- Open
- 2.390
- VWAP
- 2.38
- Vol
- 35.20K
- Mkt Cap
- —
- Low
- 2.291
- Amount
- 83.91K
- EV/EBITDA, TTM
- 0.00
Change Agents Corp., formerly Avalon GloboCare Corp., is an artificial intelligence software company. The Company is focused on developing agentic artificial intelligence (AI) applications designed to help small businesses, brands, and content creators increase revenue, improve digital discoverability, and automate content creation. The Company's portfolio includes Beacon, an AI Search Optimization platform, and Catch-Up, an autonomous AI-powered content creation platform. Through its Software-as-a-Service (SaaS) business model, the Company is focused on delivering innovative AI solutions that create measurable customer value while generating recurring subscription revenue and long-term shareholder returns. The Company is also distributing the KetoAir breathalyzer device, a non-invasive consumer breathalyzer that measures ketosis levels and is sold in North America.
AI analysis of CHGA (CHGA)
sellChange Agents Corporation is not a good buy right now due to significant financial instability and negative performance trends. The current price is 2.42, which reflects a staggering year-to-date change of -57.09%. Additionally, the company has a gross margin of only 33.06% for Q3 2025, indicating poor profitability. The main risk is the high debt-to-equity ratio of 160.55%, suggesting financial distress and potential liquidity issues.
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CHGA FAQ — answered by Alphio AI
Change Agents Corporation is not a good buy right now due to significant financial instability and negative performance trends. The current price is 2.42, which reflects a staggering year-to-date change of -57.09%. Additionally, the company has a gross margin of only 33.06% for Q3 2025, indicating poor profitability. The main risk is the high debt-to-equity ratio of 160.55%, suggesting financial distress and potential liquidity issues.
Diese Seite dient nur der Recherche und ist keine Anlageberatung. Modelle können falsch liegen. Vergangene Wertentwicklung ist kein Indikator für die Zukunft.
