Presidio Property Trust Inc

Presidio Property Trust Inc (SQFT) Financials

$1.510

-0.020 (-1.31%)At close

SQFT Revenue Streams

Presidio Property Trust Inc (SQFT) generates its revenue through a diversified portfolio of business segments. Currently, the largest contributor to its top-line growth is Office/Industrial Properties, accounting for 64.4% of total sales, equivalent to $2.96M. Other significant revenue streams include Model Home Properties and Retail Properties. Understanding this composition is critical for investors evaluating how SQFT navigates market cycles within the Diversified REITs industry.

SQFT Profitability and Margins

Evaluating the bottom line, Presidio Property Trust Inc maintains a gross margin of 60.91%. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at -9.54%, while the net margin is 57.62%. These profitability ratios, combined with a Return on Equity (ROE) of -55.45%, provide a clear picture of how effectively SQFT converts its operational activities into shareholder value.

SQFT Comparative Benchmarking

In the context of the broader market, SQFT competes directly with industry leaders such as PW and CMCT. With a market capitalization of N/A, it holds a significant position in the sector. When comparing efficiency, SQFT's gross margin of 60.91% stands against PW's 89.41% and CMCT's 25.55%. Such benchmarking helps identify whether Presidio Property Trust Inc is trading at a premium or discount relative to its financial performance.

Financials

FY2025Q1
YoY:
-13.88%
4.13M
Total Revenue
FY2025Q1
YoY:
+88.31%
-393.54K
Operating Profit
FY2025Q1
YoY:
-163.59%
2.38M
Net Income after Tax
FY2025Q1
YoY:
-127.72%
1.30
EPS - Diluted
FY2025Q1
YoY:
-67.97%
-687.46K
Free Cash Flow
FY2025Q1
YoY:
-9.58%
60.91
Gross Profit Margin - %
FY2025Q1
YoY:
-104.36%
-8.45
FCF Margin - %
FY2025Q1
YoY:
-173.84%
57.62
Net Margin - %
FY2023Q4
YoY:
+3138.10%
6.80
ROIC

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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