Draganfly (DPRO) Inventory (2019 - 2026)
Draganfly's Inventory came in at $7.36 million for Q2 2026, up 291.0% from $1.88 million a year earlier and up 33.0% from the prior quarter.
Powered by 
Analysis
Draganfly (DPRO) Inventory (2019 - 2026) Analysis & Trends
At the end of FY2025, Draganfly's Inventory was $2.85 million, up 166.9% from FY2024.
- Inventory carries a five-year compound annual growth rate of 24.1% (FY2020 to FY2025).
- Going back by year, Inventory was $1.07 million in FY2024 (-11.5%), $1.21 million in FY2023 (+54.9%), $779,178 in FY2022 (-70.7%) and $2.66 million in FY2021 (+175.0%).
- The Q2 2026 figure represents the highest quarterly Inventory in data going back to Q4 2020.
- Year-over-year, Inventory has increased for four consecutive quarters, with growth averaging 121.0% over the last seven quarters.
- The fastest year-over-year change in Inventory over five years came in Q1 2026 (growth of 302.5%), and the weakest in Q4 2022 (a decline of 70.7%).
- Business Quant data shows DPRO's Inventory at $5.54 million (Q1 2026), $2.85 million (Q4 2025) and $2.11 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn | 2.89 Bn |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn | 12.74 Bn |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn | 14.95 Bn |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn | 3.99 Bn |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn | 90.95 Bn |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn | 9.12 Bn |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn | 1.51 Bn |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn | 2.11 Bn |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn | 1.36 Bn |
| 10 | Draganfly | 94.20 Mn | -260.88 Mn | 92,119.03 | 8.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.74 Mn |
| Jun 30, 2026 | 7.36 Mn |
| Mar 31, 2026 | 5.54 Mn |
| Dec 31, 2025 | 2.85 Mn |
| Sep 30, 2025 | 2.11 Mn |
| Jun 30, 2025 | 1.88 Mn |
| Mar 31, 2025 | 1.38 Mn |
| Dec 31, 2024 | 1.07 Mn |
| Sep 30, 2024 | 1.12 Mn |
| Mar 31, 2024 | 1.08 Mn |
| Dec 31, 2023 | 1.21 Mn |
| Sep 30, 2023 | 1.36 Mn |
| Jun 30, 2023 | 1.24 Mn |
| Mar 31, 2023 | 1.14 Mn |
| Dec 31, 2022 | 779,177.92 |
| Sep 30, 2022 | 2.57 Mn |
| Jun 30, 2022 | 2.71 Mn |
| Mar 31, 2022 | 2.70 Mn |
| Dec 31, 2021 | 2.66 Mn |
| Sep 30, 2021 | 2.55 Mn |
API Access
Draganfly Inventory 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=inventory&ticker=DPRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=DPRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();