Draganfly (DPRO) EBITDA (2020 - 2026)
Draganfly (DPRO) recorded EBITDA of $12.14 million in Q2 2026, up 202.9% from $4.01 million a year earlier and up 97.4% from the prior quarter.
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Analysis
Draganfly (DPRO) EBITDA (2020 - 2026) Analysis & Trends
On a TTM basis, Draganfly's EBITDA came in at $28.33 million as of Jun 30, 2026, up 107.7% year-over-year; for FY2025, it came in at $17.02 million, up 28.6% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $13.23 million in FY2024 (-34.6%), $20.23 million in FY2023, -$8.41 million in FY2022 and -$15.13 million in FY2021.
- The Q2 2026 figure is the highest quarterly EBITDA since Q2 2022.
- On a year-over-year basis, EBITDA has increased for seven consecutive quarters, with growth averaging 49.8% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 202.9% in Q2 2026, against a decline of 100.0% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.15 million (Q1 2026), $5.79 million (Q4 2025) and $4.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 2.88 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 795.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 1.68 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 1.46 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 2.10 Bn |
| 10 | Draganfly | 87.85 Mn | -230.38 Mn | 385,426.89 | 12.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.14 Mn |
| Mar 31, 2026 | 6.15 Mn |
| Dec 31, 2025 | 5.79 Mn |
| Sep 30, 2025 | 4.26 Mn |
| Jun 30, 2025 | 4.01 Mn |
| Mar 31, 2025 | 3.00 Mn |
| Dec 31, 2024 | 3.18 Mn |
| Sep 30, 2024 | 3.45 Mn |
| Jun 30, 2024 | 3.66 Mn |
| Mar 31, 2024 | 2.94 Mn |
| Dec 31, 2023 | 2.86 Mn |
| Sep 30, 2023 | 5.52 Mn |
| Jun 30, 2023 | 5.86 Mn |
| Mar 31, 2023 | 6.00 Mn |
| Dec 31, 2022 | -8.64 Mn |
| Sep 30, 2022 | 5.92 Mn |
| Jun 30, 2022 | 6,423.78 Bn |
| Mar 31, 2022 | 5.59 Mn |
| Dec 31, 2021 | -5.17 Mn |
| Sep 30, 2021 | 7.12 Mn |
API Access
Draganfly EBITDA 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=ebitda&ticker=DPRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DPRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();