Draganfly (DPRO) Operating Margin (2020 - 2026)
Draganfly's Operating Margin was 624.93% in Q2 2026, up 365.91 percentage points from 259.02% a year earlier and up 265.51 percentage points from the prior quarter.
Draganfly (DPRO) Operating Margin (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Draganfly's Operating Margin was 427.48% through Jun 30, 2026, up 168.40 percentage points year-over-year; for FY2025, it came in at 303.11%, up 35.83 percentage points from FY2024.
- Operating Margin shows a five-year change of +27.78 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was 267.27% in FY2024 (-140.74 pp), 408.01% in FY2023 (+1093.52 pp), -685.50% in FY2022 (-412.20 pp) and -273.30% in FY2021 (-548.63 pp).
- The Q2 2026 figure marks the highest quarterly Operating Margin in data going back to Q2 2020.
- Compared with a year earlier, Operating Margin has increased for four straight quarters, with an average year-over-year change of +44.26 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q4 2022 (a gain of 744.29 percentage points); the worst was Q1 2024 (a drop of 216.13 percentage points).
- Per Business Quant data, DPRO's Operating Margin in the three quarters before Q2 2026 was 359.42% (Q1 2026), 416.58% (Q4 2025) and 267.52% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 314.43 Bn | 268.21 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 256.70 Bn | 228.18 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 150.18 Bn | 56.87 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 125.88 Bn | 112.61 Bn | 2.45 Bn | 12.36% |
| 5 | General Dynamics | 93.03 Bn | 80.14 Bn | 2.18 Bn | 10.36% |
| 6 | Howmet Aerospace | 83.12 Bn | 78.73 Bn | 951.00 Mn | 27.92% |
| 7 | Motorola Solutions | 77.16 Bn | 73.50 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 76.52 Bn | 65.76 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.95 Bn | 20.08 Bn | 3.65 Bn | 18.37% |
| 10 | Draganfly | 58.15 Mn | -256.52 Mn | 385,426.89 | -584.91% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | -381.34% |
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();