Defense Technologies International (DTII) Total Liabilities (2012 - 2026)
Defense Technologies International's Total Liabilities came in at $2.67 million for fiscal Q3 2026 (quarter ended Jan 31, 2026), up 79.2% from $1.49 million a year earlier and up 7.7% from the prior quarter.
Defense Technologies International (DTII) Total Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025 (ended Apr 30, 2025), Defense Technologies International's Total Liabilities was $2.08 million, down 12.1% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -14.4% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $2.37 million in FY2024 (+21.2%), $1.95 million in FY2023 (-45.6%), $3.59 million in FY2022 (-17.8%) and $4.37 million in FY2021 (-3.6%).
- The five-year range for quarterly Total Liabilities is $1.34 million (fiscal Q2 2025) to $22.31 million (fiscal Q1 2026).
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 131.4% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q1 2026 (growth of 946.0%), and the weakest in fiscal Q2 2023 (a decline of 62.5%).
- Business Quant data shows DTII's Total Liabilities at $2.48 million (Q2 2026), $22.31 million (Q1 2026) and $2.08 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Defense Technologies International | 375,317.66 | -25,289.34 | - | 2.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 2.67 Mn |
| Oct 31, 2025 | 2.48 Mn |
| Jul 31, 2025 | 22.31 Mn |
| Apr 30, 2025 | 2.08 Mn |
| Jan 31, 2025 | 1.49 Mn |
| Oct 31, 2024 | 1.34 Mn |
| Jul 31, 2024 | 2.13 Mn |
| Apr 30, 2024 | 2.37 Mn |
| Jan 31, 2024 | 2.24 Mn |
| Oct 31, 2023 | 2.19 Mn |
| Jul 31, 2023 | 2.05 Mn |
| Apr 30, 2023 | 1.95 Mn |
| Jan 31, 2023 | 1.72 Mn |
| Oct 31, 2022 | 1.63 Mn |
| Jul 31, 2022 | 1.87 Mn |
| Apr 30, 2022 | 3.59 Mn |
| Jan 31, 2022 | 4.31 Mn |
| Oct 31, 2021 | 4.36 Mn |
| Jul 30, 2021 | 4.83 Mn |
| Apr 30, 2021 | 4.37 Mn |
Defense Technologies International Total 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-liabilities&ticker=DTII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "DTII", "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-liabilities&ticker=DTII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();