X T L Biopharmaceuticals Ltd

X T L Biopharmaceuticals Ltd (XTLB) Financials

$2.470

-0.105 (-4.26%)At close

XTLB Revenue Streams

X T L Biopharmaceuticals Ltd (XTLB) generates its revenue primarily from Operating Segment / Medical Devices, which accounts for -205.2% of total sales, equivalent to $-589.00K. Understanding this concentration is critical for investors evaluating how XTLB navigates market cycles within the Biotechnology & Medical Research industry.

XTLB Profitability and Margins

Evaluating the bottom line, X T L Biopharmaceuticals Ltd maintains a gross margin of N/A. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at N/A, while the net margin is N/A. These profitability ratios, combined with a Return on Equity (ROE) of -29.30%, provide a clear picture of how effectively XTLB converts its operational activities into shareholder value.

XTLB Comparative Benchmarking

In the context of the broader market, XTLB competes directly with industry leaders such as ARAY and RMTI. With a market capitalization of $6.84M, it holds a significant position in the sector. When comparing efficiency, XTLB's gross margin of N/A stands against ARAY's 34.76% and RMTI's 18.24%. Such benchmarking helps identify whether X T L Biopharmaceuticals Ltd is trading at a premium or discount relative to its financial performance.

X T L Biopharmaceuticals Ltd Financial Performance

The company reported a gross margin of 28.40% in Q3 2024 but has been operating at a net loss, with a net income of -553,000 USD in the same quarter. The forward P/E ratio is currently at 0, indicating no earnings expectations in the near term.

Financials

FY2024Q3
162.00K
Total Revenue
FY2024Q4
YoY:
-392.50%
585.00K
Operating Profit
FY2024Q4
YoY:
-456.34%
1.01M
Net Income after Tax
FY2024Q4
0.00
EPS - Diluted
FY2025Q2
-12.19
Gross Profit Margin - %
FY2025Q2
-1.06K
Net Margin - %
FY2024Q4
-23.48
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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