Draganfly (DPRO) Property, Plant & Equipment (Net) (2020 - 2026)
Draganfly (DPRO) reported Property, Plant & Equipment (Net) of $1.22 million for Q2 2026, up 251.1% from $346,948 a year earlier and up 27.1% 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 $853,193, up 120.6% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 49.3% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $386,777 in FY2024 (-23.3%), $504,587 in FY2023 (+62.1%), $311,275 in FY2022 (+31.3%) and $237,027 in FY2021 (+106.4%).
- 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 75.1% over the last seven quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q2 2026 (growth of 251.1%); the low point was Q3 2024 (a decline of 26.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $958,243 (Q1 2026), $854,820 (Q4 2025) and $567,383 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.14 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 16.97 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 16.32 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 11.39 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 2.82 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 7.58 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.17 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.30 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 4.59 Bn |
| 10 | Draganfly | 82.98 Mn | -235.25 Mn | 385,426.89 | 1.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.22 Mn |
| Mar 31, 2026 | 958,243.37 |
| Dec 31, 2025 | 854,819.91 |
| Sep 30, 2025 | 567,382.77 |
| Jun 30, 2025 | 346,948.13 |
| Mar 31, 2025 | 355,613.48 |
| Dec 31, 2024 | 379,072.19 |
| Sep 30, 2024 | 377,478.52 |
| Mar 31, 2024 | 445,538.80 |
| Dec 31, 2023 | 500,072.52 |
| Sep 30, 2023 | 510,578.96 |
| Mar 31, 2023 | 316,493.14 |
| Dec 31, 2022 | 298,137.05 |
| Sep 30, 2022 | 223,899.10 |
| Jun 30, 2022 | 227,036.81 |
| Mar 31, 2022 | 231,457.61 |
| Dec 31, 2021 | 235,654.93 |
| Sep 30, 2021 | 241,050.79 |
| Dec 31, 2020 | 118,026.70 |
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();