Draganfly (DPRO) Shares Outstanding (2019 - 2026)
Draganfly (DPRO) posted Weighted Average Shares Outstanding of 15.72 million for Q2 2026, up 397.8% from 3.16 million a year earlier and unchanged from the prior quarter.
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Analysis
Draganfly (DPRO) Shares Outstanding (2019 - 2026) Analysis & Trends
Since Q2 2020, Draganfly has reported Weighted Average Shares Outstanding for 25 quarters.
- Annual Weighted Average Shares Outstanding shows a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- In prior years, Draganfly's Weighted Average Shares Outstanding was 3.16 million in FY2024 (-92.5%), 42.19 million in FY2023 (+25.7%), 33.56 million in FY2022 (+21.4%) and 27.65 million in FY2021 (+67.0%).
- Quarterly Weighted Average Shares Outstanding has run from a low of 3.16 million in Q4 2024 to a high of 42.19 million in Q3 2024 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased in each of the last three quarters, with growth averaging 106.1% over the last eight quarters.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding in the past five years was Q2 2026, with growth of 397.8%; the weakest was Q4 2024, with a decline of 92.5%.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 15.72 million (Q1 2026), 15.72 million (Q4 2025) and 3.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn | 11.94 Bn |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn | 1.04 Bn |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn | 1.35 Bn |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn | 230.50 Mn |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn | 792.90 Mn |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn | 270.23 Mn |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn | 165.50 Mn |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn | 398.00 Mn |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn | 142.10 Mn |
| 10 | Draganfly | 94.20 Mn | -260.88 Mn | 92,119.03 | 15.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.72 Mn |
| Jun 30, 2026 | 15.72 Mn |
| Mar 31, 2026 | 15.72 Mn |
| Dec 31, 2025 | 15.72 Mn |
| Sep 30, 2025 | 3.16 Mn |
| Jun 30, 2025 | 3.16 Mn |
| Mar 31, 2025 | 3.16 Mn |
| Dec 31, 2024 | 3.16 Mn |
| Sep 30, 2024 | 1.69 Mn |
| Jun 30, 2024 | 1.69 Mn |
| Mar 31, 2024 | 1.69 Mn |
| Dec 31, 2023 | 1.69 Mn |
| Sep 30, 2023 | 1.34 Mn |
| Jun 30, 2023 | 1.34 Mn |
| Mar 31, 2023 | 1.34 Mn |
| Dec 31, 2022 | 1.34 Mn |
| Sep 30, 2022 | 1.11 Mn |
| Jun 30, 2022 | 1.11 Mn |
| Mar 31, 2022 | 1.11 Mn |
| Dec 31, 2021 | 1.11 Mn |
API Access
Draganfly Shares Outstanding API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding&ticker=DPRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "DPRO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding&ticker=DPRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();