Draganfly (DPRO) Total Liabilities (2020 - 2026)
Draganfly's Total Liabilities came in at $3.63 million for Q2 2026, down 9.2% from $4 million a year earlier and down 5.6% from the prior quarter.
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Analysis
Draganfly (DPRO) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Draganfly's Total Liabilities was $3.5 million, down 10.0% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $3.89 million in FY2024 (-35.1%), $5.99 million in FY2023 (+125.6%), $2.65 million in FY2022 (-52.9%) and $5.64 million in FY2021 (+121.1%).
- The five-year range for quarterly Total Liabilities is $1.85 million (Q3 2022) to $32.27 million (Q3 2021).
- Year-over-year, Total Liabilities increased in two of the last seven quarters, with an average decline of 6.9%.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2023 (growth of 125.6%), and the weakest in Q2 2022 (a decline of 96.1%).
- Business Quant data shows DPRO's Total Liabilities at $3.84 million (Q1 2026), $3.5 million (Q4 2025) and $4.78 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn | 77.28 Bn |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn | 109.44 Bn |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn | 105.63 Bn |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn | 54.45 Bn |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn | 164.18 Bn |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn | 32.91 Bn |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn | 18.06 Bn |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn | 7.52 Bn |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn | 33.81 Bn |
| 10 | Draganfly | 94.20 Mn | -260.88 Mn | 92,119.03 | 5.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.67 Mn |
| Jun 30, 2026 | 3.63 Mn |
| Mar 31, 2026 | 3.84 Mn |
| Dec 31, 2025 | 3.50 Mn |
| Sep 30, 2025 | 4.78 Mn |
| Jun 30, 2025 | 4.00 Mn |
| Mar 31, 2025 | 3.80 Mn |
| Dec 31, 2024 | 3.89 Mn |
| Sep 30, 2024 | 3.09 Mn |
| Mar 31, 2024 | 5.40 Mn |
| Dec 31, 2023 | 5.99 Mn |
| Sep 30, 2023 | 3.86 Mn |
| Jun 30, 2023 | 2.95 Mn |
| Mar 31, 2023 | 2.87 Mn |
| Dec 31, 2022 | 2.65 Mn |
| Sep 30, 2022 | 1.85 Mn |
| Jun 30, 2022 | 1.98 Mn |
| Mar 31, 2022 | 6.59 Mn |
| Dec 31, 2021 | 5.64 Mn |
| Sep 30, 2021 | 32.27 Mn |
API Access
Draganfly Total Liabilities 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=total-liabilities&ticker=DPRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DPRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();