Alpine Income Property Trust Inc

Alpine Income Property Trust Inc (PINE) Financials

$19.530

-0.109 (-0.56%)At close

PINE Revenue Streams

Alpine Income Property Trust Inc (PINE) generates its revenue through a diversified portfolio of business segments. Currently, the largest contributor to its top-line growth is Income properties , accounting for 83.2% of total sales, equivalent to $11.83M. Other significant revenue streams include Commercial loans and investments and Other Revenue. Understanding this composition is critical for investors evaluating how PINE navigates market cycles within the Commercial REITs industry.

PINE Profitability and Margins

Evaluating the bottom line, Alpine Income Property Trust Inc maintains a gross margin of 34.95%. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at 22.17%, while the net margin is -9.00%. These profitability ratios, combined with a Return on Equity (ROE) of 0.47%, provide a clear picture of how effectively PINE converts its operational activities into shareholder value.

PINE Comparative Benchmarking

In the context of the broader market, PINE competes directly with industry leaders such as ARL and CDZI. With a market capitalization of N/A, it holds a significant position in the sector. When comparing efficiency, PINE's gross margin of 34.95% stands against ARL's 36.45% and CDZI's -41.98%. Such benchmarking helps identify whether Alpine Income Property Trust Inc is trading at a premium or discount relative to its financial performance.

Financials

FY2025Q1
YoY:
+13.96%
14.21M
Total Revenue
FY2025Q1
YoY:
+20.47%
3.15M
Operating Profit
FY2025Q1
YoY:
+351.59%
-1.28M
Net Income after Tax
FY2025Q1
YoY:
+300.00%
-0.08
EPS - Diluted
FY2025Q1
YoY:
-2740.49%
-53.47M
Free Cash Flow
FY2025Q1
YoY:
+4.83%
34.95
Gross Profit Margin - %
FY2025Q1
YoY:
+44.81%
-300.67
FCF Margin - %
FY2025Q1
YoY:
+296.48%
-9.00
Net Margin - %

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

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