Defense Technologies International (DTII) Other Accumulated Expenses (2012 - 2026)
Defense Technologies International (DTII) posted Other Accumulated Expenses of $261,541 for fiscal Q3 2026 (quarter ended Jan 31, 2026), up 34.5% from $194,421 a year earlier and up 12.0% from the prior quarter.
Defense Technologies International (DTII) Other Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025 (ended Apr 30, 2025), Defense Technologies International's Other Accumulated Expenses came in at $220,521, up 23.8% from FY2024.
- Annual Other Accumulated Expenses has increased for three consecutive fiscal years, though with a five-year compound annual growth rate of -25.6% (FY2020 to FY2025).
- In prior fiscal years, Defense Technologies International's Other Accumulated Expenses was $178,188 in FY2024 (+18.4%), $150,517 in FY2023 (+1.8%), $147,877 in FY2022 (-88.2%) and $1.25 million in FY2021 (+28.8%).
- The fiscal Q3 2026 figure stands as the highest quarterly Other Accumulated Expenses since fiscal Q2 2023.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last nine quarters, with growth averaging 21.4% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q3 2026, with growth of 34.5%; the weakest was fiscal Q3 2023, with a decline of 90.7%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $233,491 (Q2 2026), $227,238 (Q1 2026) and $220,521 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Defense Technologies International | 375,317.66 | -25,289.34 | - |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 261,541.00 |
| Oct 31, 2025 | 233,491.00 |
| Jul 31, 2025 | 227,238.00 |
| Apr 30, 2025 | 220,521.00 |
| Jan 31, 2025 | 194,421.00 |
| Oct 31, 2024 | 187,963.00 |
| Jul 31, 2024 | 185,246.00 |
| Apr 30, 2024 | 178,188.00 |
| Jan 31, 2024 | 167,735.00 |
| Oct 31, 2023 | 163,946.00 |
| Jul 31, 2023 | 157,886.00 |
| Apr 30, 2023 | 150,517.00 |
| Jan 31, 2023 | 138,486.00 |
| Oct 31, 2022 | 701,413.00 |
| Jul 31, 2022 | 594,000.00 |
| Apr 30, 2022 | 147,877.00 |
| Jan 31, 2022 | 1.49 Mn |
| Oct 31, 2021 | 1.40 Mn |
| Jul 30, 2021 | 1.31 Mn |
| Apr 30, 2021 | 1.25 Mn |
Defense Technologies International Other Accumulated Expenses 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=other-accumulated-expenses&ticker=DTII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=DTII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();