Draganfly (DPRO) Selling, General & Administrative (2020 - 2026)
Draganfly's Selling, General & Administrative was $2.11 million in Q2 2026, up 152.6% from $836,107 a year earlier and up 53.6% from the prior quarter.
Draganfly (DPRO) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Draganfly's Selling, General & Administrative was $6.37 million through Jun 30, 2026, up 189.2% year-over-year; for FY2025, it was $4.21 million, up 152.0% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $1.67 million in FY2024 (-64.2%), $4.67 million in FY2023 (+12.5%), $4.15 million in FY2022 (-19.4%) and $5.15 million in FY2021 (+103.7%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative since Q2 2022.
- Compared with a year earlier, Selling, General & Administrative has increased for seven straight quarters, with growth averaging 117.8% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2025 (growth of 355.2%); the worst was Q2 2023 (a decline of 100.0%).
- Per Business Quant data, DPRO's Selling, General & Administrative in the three quarters before Q2 2026 was $1.38 million (Q1 2026), $1.92 million (Q4 2025) and $967,003 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 1.13 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.66 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 1.43 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 148.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 723.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 496.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 1.03 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.34 Bn |
| 10 | Draganfly | 95.55 Mn | -222.68 Mn | 385,426.89 | 2.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.11 Mn |
| Mar 31, 2026 | 1.38 Mn |
| Dec 31, 2025 | 1.92 Mn |
| Sep 30, 2025 | 967,002.96 |
| Jun 30, 2025 | 836,106.82 |
| Mar 31, 2025 | 490,990.90 |
| Dec 31, 2024 | 421,154.81 |
| Sep 30, 2024 | 455,003.32 |
| Jun 30, 2024 | 443,445.52 |
| Mar 31, 2024 | 256,971.54 |
| Dec 31, 2023 | 338,108.91 |
| Sep 30, 2023 | 1.20 Mn |
| Jun 30, 2023 | 1.07 Mn |
| Mar 31, 2023 | 2.07 Mn |
| Dec 31, 2022 | 773,546.93 |
| Sep 30, 2022 | 971,620.08 |
| Jun 30, 2022 | 1,155.27 Bn |
| Mar 31, 2022 | 1.27 Mn |
| Dec 31, 2021 | 880,719.67 |
| Sep 30, 2021 | 1.89 Mn |
Draganfly Selling, General & Administrative 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=selling-general-and-administrative&ticker=DPRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DPRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();