Draganfly Inc

Draganfly Inc (DPRO) Financials

$4.465

+0.097 (+2.17%)At close

DPRO Revenue Streams

Draganfly Inc (DPRO) generates its revenue primarily from Drones, which accounts for 100.0% of total sales, equivalent to CAD 2.31M. Understanding this concentration is critical for investors evaluating how DPRO navigates market cycles within the Aerospace & Defense industry.

DPRO Profitability and Margins

Evaluating the bottom line, Draganfly Inc maintains a gross margin of 14.62%. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at -582.63%, while the net margin is -451.64%. These profitability ratios, combined with a Return on Equity (ROE) of -37.77%, provide a clear picture of how effectively DPRO converts its operational activities into shareholder value.

DPRO Comparative Benchmarking

In the context of the broader market, DPRO competes directly with industry leaders such as NIU and SEV. With a market capitalization of $181.66M, it holds a leading position in the sector. When comparing efficiency, DPRO's gross margin of 14.62% stands against NIU's 17.43% and SEV's N/A. Such benchmarking helps identify whether Draganfly Inc is trading at a premium or discount relative to its financial performance.

Draganfly Inc Financial Performance

Draganfly's total revenue for Q2 2026 was $2.664 million, a 26% increase from the previous year, while the gross margin declined to 21.7%. Despite this, the company has shown strong product sales growth, which is a positive indicator for future performance.

Financials

FY2026Q2
YoY:
+25.95%
2.66M
Total Revenue
FY2026Q2
YoY:
+243.66%
-15.52M
Operating Profit
FY2026Q2
YoY:
+152.68%
-12.03M
Net Income after Tax
FY2026Q2
YoY:
-45.90%
-0.33
EPS - Diluted
FY2026Q2
YoY:
+158.48%
-13.92M
Free Cash Flow
FY2026Q2
YoY:
-27.94%
14.62
Gross Profit Margin - %
FY2026Q2
YoY:
+99.20%
-418.26
FCF Margin - %
FY2026Q2
YoY:
+100.61%
-451.64
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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