Draganfly (DPRO) Research & Development (2020 - 2026)
Draganfly's Research & Development was $1.02 million in Q2 2026, compared with $90,801 a year earlier and up 122.8% from the prior quarter.
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Analysis
Draganfly (DPRO) Research & Development (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Draganfly's Research & Development was $1.97 million through Jun 30, 2026, up 203.6% year-over-year; for FY2025, it came in at $694,865, up 2.6% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- In earlier years, Research & Development was $677,381 in FY2024 (-41.2%), $1.15 million in FY2023 (+130.0%), $500,959 in FY2022 (+22.9%) and $407,671 in FY2021 (-3.9%).
- The Q2 2026 figure marks the highest quarterly Research & Development since Q2 2022.
- Compared with a year earlier, Research & Development was higher in five of the last seven quarters, with growth averaging 124.7%.
- The best year-over-year quarter for Research & Development over five years was Q3 2024 (growth of 470.9%); the worst was Q2 2023 (a decline of 100.0%).
- Per Business Quant data, DPRO's Research & Development in the three quarters before Q2 2026 was $458,406 (Q1 2026), $259,463 (Q4 2025) and $233,490 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 460.00 Mn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 726.00 Mn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 921.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 8.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 260.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 524.00 Mn |
| 10 | Draganfly | 87.85 Mn | -230.38 Mn | 385,426.89 | 1.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.02 Mn |
| Mar 31, 2026 | 458,406.41 |
| Dec 31, 2025 | 259,463.33 |
| Sep 30, 2025 | 233,490.35 |
| Jun 30, 2025 | 90,800.81 |
| Mar 31, 2025 | 112,821.02 |
| Dec 31, 2024 | 191,546.91 |
| Sep 30, 2024 | 254,642.96 |
| Jun 30, 2024 | 139,697.56 |
| Mar 31, 2024 | 90,085.86 |
| Dec 31, 2023 | 107,497.07 |
| Sep 30, 2023 | 44,600.67 |
| Jun 30, 2023 | 413,513.57 |
| Mar 31, 2023 | 586,744.91 |
| Dec 31, 2022 | 36,587.61 |
| Sep 30, 2022 | 63,748.05 |
| Jun 30, 2022 | 160.05 Bn |
| Mar 31, 2022 | 248,242.65 |
| Dec 31, 2021 | 307,402.66 |
| Sep 30, 2021 | 29,165.15 |
API Access
Draganfly Research & Development 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=research-and-development&ticker=DPRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=DPRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();