DEFSEC Technologies (DFSC) Operating Leases (2019 - 2026)
DEFSEC Technologies (DFSC) reported Operating Leases of $49,856 for the quarter ended Jun 30, 2026, down 72.8% from $183,541 a year earlier but up 299.4% from the prior quarter.
DEFSEC Technologies (DFSC) Operating Leases (2019 - 2026) Analysis & Trends
As of Sep 30, 2025, DEFSEC Technologies posted Operating Leases of $135,161, up 25.0% from the prior year.
- Operating Leases has a five-year compound annual growth rate of 32.9% (years ended Sep 2020 to Sep 2025).
- By year, Operating Leases came in at $108,132 in the year ended Sep 30, 2024 (+14.7%), $94,281 in the year ended Sep 30, 2023 (-56.3%), $215,900 in the year ended Sep 30, 2022 (-1.0%) and $218,081 in the year ended Sep 30, 2021 (+568.2%).
- Five-year quarterly Operating Leases spans a low of $12,484 in the quarter ended Mar 31, 2026 and a high of $218,956 in the quarter ended Sep 30, 2021.
- Year over year, Operating Leases has now declined in each of the last three quarters, with an average decline of 8.4% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was the quarter ended Sep 30, 2021 (growth of 561.2%); the low point was the quarter ended Mar 31, 2026 (a decline of 87.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $12,484 (quarter ended Mar 31, 2026), $78,558 (quarter ended Dec 31, 2025) and $137,266 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 316.00 Bn | 269.78 Bn | 4.68 Bn |
| 2 | Rtx | 259.31 Bn | 230.78 Bn | 5.13 Bn |
| 3 | Boeing | 151.28 Bn | 57.97 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 126.32 Bn | 113.05 Bn | 2.45 Bn |
| 5 | General Dynamics | 92.97 Bn | 80.09 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 85.15 Bn | 80.75 Bn | 951.00 Mn |
| 7 | Northrop Grumman | 76.48 Bn | 65.72 Bn | 2.12 Bn |
| 8 | Motorola Solutions | 76.38 Bn | 72.72 Bn | 1.68 Bn |
| 9 | Honeywell International | 68.02 Bn | 20.15 Bn | 3.65 Bn |
| 10 | DEFSEC Technologies | 438,101.34 | -12.75 Mn | 651,879.07 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48,535.43 |
| Mar 31, 2026 | 12,291.52 |
| Dec 31, 2025 | 79,995.91 |
| Sep 30, 2025 | 800,896.02 |
| Jun 30, 2025 | 185,882.30 |
| Mar 31, 2025 | 98,519.13 |
| Dec 31, 2024 | 114,549.33 |
| Sep 30, 2024 | 114,847.36 |
| Jun 30, 2024 | 107,477.03 |
| Mar 31, 2024 | 103,454.49 |
| Dec 31, 2023 | 101,015.90 |
| Sep 30, 2023 | 224,154.62 |
| Jun 30, 2023 | 72,014.34 |
| Mar 31, 2023 | 53,750.58 |
| Dec 31, 2022 | 52,311.83 |
| Sep 30, 2022 | 150,989.79 |
| Sep 30, 2021 | 216,108.92 |
| Sep 30, 2020 | 230,060.96 |
| Dec 31, 2019 | 89,749.33 |
DEFSEC Technologies Operating Leases 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=operating-leases&ticker=DFSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "DFSC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-leases&ticker=DFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();