reAlpha Tech Corp

reAlpha Tech Corp (AIRE) Financials

$1.610

-0.076 (-4.73%)At close

AIRE Revenue Streams

reAlpha Tech Corp (AIRE) generates its revenue primarily from Rental Revenue, which accounts for 100.0% of total sales, equivalent to $62.35K. Understanding this concentration is critical for investors evaluating how AIRE navigates market cycles within the Software industry.

AIRE Profitability and Margins

Evaluating the bottom line, reAlpha Tech Corp maintains a gross margin of 50.64%. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at -260.74%, while the net margin is -274.62%. These profitability ratios, combined with a Return on Equity (ROE) of -1082.81%, provide a clear picture of how effectively AIRE converts its operational activities into shareholder value.

AIRE Comparative Benchmarking

In the context of the broader market, AIRE competes directly with industry leaders such as GLE and SURG. With a market capitalization of $9.59M, it holds a leading position in the sector. When comparing efficiency, AIRE's gross margin of 50.64% stands against GLE's 20.19% and SURG's -2.62%. Such benchmarking helps identify whether reAlpha Tech Corp is trading at a premium or discount relative to its financial performance.

reAlpha Tech Corp Financial Performance

The company has shown some revenue growth, with Q2 2026 revenue at 1,110,343 USD, but it continues to report substantial losses, with a net income of -3,087,847 USD for the same quarter. The gross margin has improved to 50.64%, indicating some operational efficiency.

Financials

FY2026Q2
YoY:
-11.34%
1.11M
Total Revenue
FY2026Q2
YoY:
-22.82%
-2.90M
Operating Profit
FY2026Q1
YoY:
+52.21%
-4.34M
Net Income after Tax
FY2026Q2
YoY:
-71.50%
-0.57
EPS - Diluted
FY2026Q2
YoY:
+0.79%
-2.41M
Free Cash Flow
FY2026Q2
50.64
Gross Profit Margin - %
FY2026Q2
YoY:
+1.29%
-286.96
FCF Margin - %
FY2026Q2
-274.62
Net Margin - %

This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.

Get Started