Draganfly (DPRO) Total Non-Current Liabilities (2020 - 2026)
Draganfly's Total Non-Current Liabilities came in at $3.39 million for Q2 2026, up 42.9% from $2.37 million a year earlier but down 6.0% from the prior quarter.
Draganfly (DPRO) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Draganfly's Total Non-Current Liabilities was $3.14 million, up 33.3% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 158.1% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $2.36 million in FY2024 (-16.4%), $2.82 million in FY2023, $3,733 in FY2022 (-94.5%) and $67,929 in FY2021 (+147.9%).
- The five-year range for quarterly Total Non-Current Liabilities is $1,272 (Q2 2023) to $19.03 million (Q3 2021).
- Year-over-year, Total Non-Current Liabilities has increased for four consecutive quarters, with growth averaging 21.6% over the last six quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2021 (growth of 147.9%), and the weakest in Q3 2022 (a decline of 99.7%).
- Business Quant data shows DPRO's Total Non-Current Liabilities at $3.61 million (Q1 2026), $3.14 million (Q4 2025) and $2.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn | 75.62 Bn |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn | 95.58 Bn |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn | 82.00 Mn |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn | 48.98 Bn |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn | 161.64 Bn |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn | 14.09 Bn |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn | 15.89 Bn |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn | 6.79 Bn |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn | 31.46 Bn |
| 10 | Draganfly | 94.20 Mn | -260.88 Mn | 92,119.03 | 5.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.40 Mn |
| Jun 30, 2026 | 3.39 Mn |
| Mar 31, 2026 | 3.61 Mn |
| Dec 31, 2025 | 3.14 Mn |
| Sep 30, 2025 | 2.60 Mn |
| Jun 30, 2025 | 2.37 Mn |
| Mar 31, 2025 | 2.38 Mn |
| Dec 31, 2024 | 2.36 Mn |
| Sep 30, 2024 | 2.16 Mn |
| Mar 31, 2024 | 2.42 Mn |
| Dec 31, 2023 | 2.82 Mn |
| Jun 30, 2023 | 1,272.45 |
| Mar 31, 2023 | 2,494.47 |
| Dec 31, 2022 | 3,733.03 |
| Sep 30, 2022 | 60,573.33 |
| Jun 30, 2022 | 66,575.34 |
| Mar 31, 2022 | 69,026.54 |
| Dec 31, 2021 | 67,929.44 |
| Sep 30, 2021 | 19.03 Mn |
| Jun 30, 2021 | 223,925.89 |
Draganfly Total Non-Current 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-non-current-liabilities&ticker=DPRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=DPRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();