T3 Defense (DFNS) Debt Ratio (2019 - 2026)
T3 Defense's (DFNS) Debt Ratio came in at 0.01 for Q2 2026, down 48.7% from the prior quarter.
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Analysis
T3 Defense (DFNS) Debt Ratio (2019 - 2026) Analysis & Trends
For FY2025, T3 Defense's Debt Ratio stood at 0.00, down 100.0% from FY2024.
- In prior years, T3 Defense's Debt Ratio was 0.25 in FY2024, 1.01 in FY2023, 0.80 in FY2022 and 0.03 in FY2021 (+553.2%).
- Quarterly Debt Ratio has run from a low of 0.00 in Q4 2025 to a high of 1.71 in Q3 2024 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn | 0.15 |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn | 0.15 |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn | 0.21 |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn | 0.32 |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn | 0.27 |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn | 0.12 |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn | 0.48 |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn | 0.36 |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn | 0.27 |
| 10 | T3 Defense | 495,585.21 | -17.14 Mn | 1.01 Mn | 0.03 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.03 |
| Mar 31, 2026 | 0.03 |
| Dec 31, 2025 | 0.08 |
| Sep 30, 2025 | 0.22 |
| Jun 30, 2025 | 0.48 |
| Mar 31, 2025 | 0.33 |
| Dec 31, 2024 | 0.25 |
| Sep 30, 2024 | 6.39 |
| Jun 30, 2024 | 1.71 |
| Mar 31, 2024 | 1.37 |
| Dec 31, 2023 | 0.02 |
| Sep 30, 2023 | 1.01 |
| Jun 30, 2023 | 0.72 |
| Mar 31, 2023 | 0.72 |
| Dec 31, 2022 | 0.80 |
| Sep 30, 2022 | 0.30 |
| Jun 30, 2022 | 0.05 |
| Mar 31, 2022 | 0.05 |
| Dec 31, 2021 | 0.03 |
| Sep 30, 2021 | 0.02 |
API Access
T3 Defense Debt Ratio 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=debt-ratio&ticker=DFNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=DFNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();