Draganfly (DPRO) Property, Plant & Equipment (Net) (2020 - 2026)
Draganfly (DPRO) reported Property, Plant & Equipment (Net) of $1.19 million for Q2 2026, up 237.5% from $351,374 a year earlier and up 25.7% from the prior quarter.
Draganfly (DPRO) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Draganfly posted Property, Plant & Equipment (Net) of $870,464, up 135.9% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 48.5% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $369,024 in FY2024 (-28.3%), $514,604 in FY2023 (+72.3%), $298,621 in FY2022 (+28.1%) and $233,077 in FY2021 (+93.1%).
- The Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2020.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last four quarters, with growth averaging 73.2% over the last seven quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q2 2026 (growth of 237.5%); the low point was Q4 2024 (a decline of 28.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $943,469 (Q1 2026), $870,464 (Q4 2025) and $561,099 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn | 89.48 Bn |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn | 8.33 Bn |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn | 17.24 Bn |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn | 11.52 Bn |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn | 16.69 Bn |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn | 7.85 Bn |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn | 1.20 Bn |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn | 2.91 Bn |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn | 10.46 Bn |
| 10 | Draganfly | 94.20 Mn | -260.88 Mn | 92,119.03 | 1.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.57 Mn |
| Jun 30, 2026 | 1.19 Mn |
| Mar 31, 2026 | 943,469.02 |
| Dec 31, 2025 | 870,463.72 |
| Sep 30, 2025 | 561,098.54 |
| Jun 30, 2025 | 351,374.13 |
| Mar 31, 2025 | 356,603.15 |
| Dec 31, 2024 | 369,023.94 |
| Sep 30, 2024 | 381,188.57 |
| Mar 31, 2024 | 443,532.05 |
| Dec 31, 2023 | 514,604.35 |
| Sep 30, 2023 | 507,364.91 |
| Mar 31, 2023 | 316,426.69 |
| Dec 31, 2022 | 298,620.85 |
| Sep 30, 2022 | 213,544.91 |
| Jun 30, 2022 | 224,680.02 |
| Mar 31, 2022 | 234,875.78 |
| Dec 31, 2021 | 233,077.26 |
| Sep 30, 2021 | 237,916.54 |
| Dec 31, 2020 | 120,675.73 |
Draganfly Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=DPRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=DPRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();