Draganfly (DPRO) Total Non-Current Liabilities (2020 - 2026)
Draganfly's Total Non-Current Liabilities came in at $3.48 million for Q2 2026, up 48.6% from $2.34 million a year earlier but down 5.0% 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 $3.08 million, up 24.6% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 159.6% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $2.47 million in FY2024 (-10.6%), $2.76 million in FY2023, $3,891 in FY2022 (-94.4%) and $69,081 in FY2021 (+164.9%).
- The five-year range for quarterly Total Non-Current Liabilities is $1,255 (Q2 2023) to $19.28 million (Q3 2021).
- Year-over-year, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 20.2% over the last seven quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2021 (growth of 156.3%), and the weakest in Q3 2022 (a decline of 99.7%).
- Business Quant data shows DPRO's Total Non-Current Liabilities at $3.66 million (Q1 2026), $3.08 million (Q4 2025) and $2.62 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 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 102.53 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 86.00 Mn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 48.28 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 6.90 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 14.57 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 14.44 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 30.72 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 52.22 Bn |
| 10 | Draganfly | 87.85 Mn | -230.38 Mn | 385,426.89 | 3.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.48 Mn |
| Mar 31, 2026 | 3.66 Mn |
| Dec 31, 2025 | 3.08 Mn |
| Sep 30, 2025 | 2.62 Mn |
| Jun 30, 2025 | 2.34 Mn |
| Mar 31, 2025 | 2.37 Mn |
| Dec 31, 2024 | 2.42 Mn |
| Sep 30, 2024 | 2.14 Mn |
| Jun 30, 2024 | 2.30 Mn |
| Mar 31, 2024 | 2.43 Mn |
| Dec 31, 2023 | 2.74 Mn |
| Jun 30, 2023 | 1,255.15 |
| Mar 31, 2023 | 2,495.00 |
| Dec 31, 2022 | 3,726.98 |
| Sep 30, 2022 | 63,510.36 |
| Jun 30, 2022 | 67,273.68 |
| Mar 31, 2022 | 68,021.99 |
| Dec 31, 2021 | 68,680.69 |
| Sep 30, 2021 | 19.28 Mn |
| Jun 30, 2021 | 277,583.00 |
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();