T3 Defense (DFNS) Net Long-Term Debt Issued (Repaid) (2019 - 2026)
T3 Defense (DFNS) recorded Non-Current Debt of $280,600 in FY2023.
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Analysis
T3 Defense (DFNS) Net Long-Term Debt Issued (Repaid) (2019 - 2026) Analysis & Trends
Starting with FY2019, T3 Defense's Non-Current Debt history includes 5 years.
- Annual Non-Current Debt has a four-year compound annual growth rate of 27.3% (FY2019 to FY2023).
- The FY2023 figure is the lowest annual Non-Current Debt since FY2020.
- Per Business Quant data, DFNS's Non-Current Debt was $1.06 million in FY2022 (-23.6%), $1.38 million in FY2021, $62,000 in FY2020 (-42.0%) and $106,835 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn | -524.00 Mn |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn | -248.00 Mn |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn | -2.00 Mn |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn | - |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn | -28.00 Mn |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn | -500.00 Mn |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn | 942.00 Mn |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn | - |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn | - |
| 10 | T3 Defense | 495,585.21 | -17.14 Mn | 1.01 Mn | -1.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.83 Mn |
| Mar 31, 2026 | -182,000.00 |
| Dec 31, 2024 | -2.70 Mn |
| Jun 30, 2024 | 630,725.00 |
| Mar 31, 2024 | 242,146.00 |
| Dec 31, 2023 | 546,010.00 |
| Jun 30, 2023 | 97,350.00 |
| Mar 31, 2023 | 86,350.00 |
| Mar 31, 2022 | 634,594.00 |
| Jun 30, 2020 | 10,000.00 |
| Mar 31, 2020 | 52,000.00 |
| Sep 30, 2019 | 50,914.00 |
API Access
T3 Defense Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=DFNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "DFNS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=DFNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();