Draganfly (DPRO) Total Liabilities (2020 - 2026)
Draganfly's Total Liabilities came in at $3.73 million for Q2 2026, down 5.6% from $3.95 million a year earlier and down 4.5% 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 $3.43 million, down 15.8% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $4.07 million in FY2024 (-30.6%), $5.87 million in FY2023 (+112.2%), $2.77 million in FY2022 (-51.7%) and $5.73 million in FY2021 (+136.2%).
- The five-year range for quarterly Total Liabilities is $1.94 million (Q3 2022) to $32.7 million (Q3 2021).
- Year-over-year, Total Liabilities increased in two of the last eight quarters, with an average decline of 12.3%.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2024 (growth of 214.2%), and the weakest in Q2 2022 (a decline of 97.1%).
- Business Quant data shows DPRO's Total Liabilities at $3.9 million (Q1 2026), $3.44 million (Q4 2025) and $4.83 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 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Draganfly | 87.85 Mn | -230.38 Mn | 385,426.89 | 3.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.73 Mn |
| Mar 31, 2026 | 3.90 Mn |
| Dec 31, 2025 | 3.44 Mn |
| Sep 30, 2025 | 4.83 Mn |
| Jun 30, 2025 | 3.95 Mn |
| Mar 31, 2025 | 3.79 Mn |
| Dec 31, 2024 | 3.99 Mn |
| Sep 30, 2024 | 3.06 Mn |
| Jun 30, 2024 | 9.16 Mn |
| Mar 31, 2024 | 5.43 Mn |
| Dec 31, 2023 | 5.82 Mn |
| Sep 30, 2023 | 3.89 Mn |
| Jun 30, 2023 | 2.91 Mn |
| Mar 31, 2023 | 2.87 Mn |
| Dec 31, 2022 | 2.65 Mn |
| Sep 30, 2022 | 1.94 Mn |
| Jun 30, 2022 | 2.00 Mn |
| Mar 31, 2022 | 6.49 Mn |
| Dec 31, 2021 | 5.70 Mn |
| Sep 30, 2021 | 32.70 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();