Draganfly (DPRO) Operating Margin (2019 - 2026)
Draganfly's Operating Margin was -584.91% in Q2 2026, down 373.60 percentage points from -211.31% a year earlier and down 255.57 percentage points from the prior quarter.
Draganfly (DPRO) Operating Margin (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Draganfly's Operating Margin was -396.75% through Jun 30, 2026, down 178.81 percentage points year-over-year; for FY2025, it came in at -268.92%, down 44.27 percentage points from FY2024.
- Operating Margin shows a five-year change of -74.24 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was -224.65% in FY2024 (+120.38 pp), -345.03% in FY2023 (+8.81 pp), -353.84% in FY2022 (-80.54 pp) and -273.30% in FY2021 (-78.62 pp).
- The Q2 2026 figure marks the lowest quarterly Operating Margin since Q4 2022.
- Compared with a year earlier, Operating Margin has declined for four straight quarters, with an average year-over-year change of -58.95 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q4 2023 (a gain of 333.74 percentage points); the worst was Q2 2026 (a drop of 373.60 percentage points).
- Per Business Quant data, DPRO's Operating Margin in the three quarters before Q2 2026 was -329.34% (Q1 2026), -407.62% (Q4 2025) and -228.47% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn | 19.15% |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn | -1.26% |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn | 13.37% |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn | 11.80% |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn | 1.46% |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn | 10.48% |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn | 23.02% |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn | 28.75% |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn | 11.41% |
| 10 | Draganfly | 94.20 Mn | -260.88 Mn | 92,119.03 | -656.80% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -656.80% |
| Jun 30, 2026 | -584.91% |
| Mar 31, 2026 | -329.34% |
| Dec 31, 2025 | -407.62% |
| Sep 30, 2025 | -228.47% |
| Jun 30, 2025 | -211.31% |
| Mar 31, 2025 | -232.66% |
| Dec 31, 2024 | -239.90% |
| Sep 30, 2024 | -195.42% |
| Jun 30, 2024 | -227.02% |
| Mar 31, 2024 | -244.51% |
| Dec 31, 2023 | -351.77% |
| Sep 30, 2023 | -255.44% |
| Jun 30, 2023 | -356.33% |
| Mar 31, 2023 | -447.38% |
| Dec 31, 2022 | -685.51% |
| Sep 30, 2022 | -340.09% |
| Jun 30, 2022 | -260.02% |
| Mar 31, 2022 | -262.04% |
| Dec 31, 2021 | -312.32% |
Draganfly Operating Margin 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=operating-margin&ticker=DPRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=DPRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();