Defense Technologies International (DTII) Operating Expenses (2012 - 2026)
Defense Technologies International's Operating Expenses came in at $143,753 for fiscal Q3 2026 (quarter ended Jan 31, 2026), down 54.6% from $316,803 a year earlier but up 1.1% from the prior quarter.
Defense Technologies International (DTII) Operating Expenses (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jan 31, 2026, Defense Technologies International reported Operating Expenses of $1 million, down 2.6% year-over-year; for FY2025 (ended Apr 30, 2025), it was $1.38 million, up 118.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $631,143 in FY2024 (-63.6%), $1.73 million in FY2023 (+99.9%), $867,597 in FY2022 (+16.4%) and $745,363 in FY2021 (-17.5%).
- The five-year range for quarterly Operating Expenses is $141,270 (fiscal Q3 2024) to $940,209 (fiscal Q1 2023).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 40.1%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2023 (growth of 360.3%), and the weakest in fiscal Q1 2024 (a decline of 85.0%).
- Business Quant data shows DTII's Operating Expenses at $142,182 (Q2 2026), $187,230 (Q1 2026) and $527,459 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Defense Technologies International | 375,317.66 | -25,289.34 | - | 143,753.00 |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 143,753.00 |
| Oct 31, 2025 | 142,182.00 |
| Jul 31, 2025 | 187,230.00 |
| Apr 30, 2025 | 527,459.00 |
| Jan 31, 2025 | 316,803.00 |
| Oct 31, 2024 | 366,065.00 |
| Jul 31, 2024 | 163,517.00 |
| Apr 30, 2024 | 180,934.00 |
| Jan 31, 2024 | 141,270.00 |
| Oct 31, 2023 | 168,210.00 |
| Jul 31, 2023 | 141,383.00 |
| Apr 30, 2023 | 248,650.00 |
| Jan 31, 2023 | 183,061.00 |
| Oct 31, 2022 | 362,194.00 |
| Jul 31, 2022 | 940,209.00 |
| Apr 30, 2022 | 218,250.00 |
| Jan 31, 2022 | 239,472.00 |
| Oct 31, 2021 | 205,595.00 |
| Jul 30, 2021 | 204,280.00 |
| Apr 30, 2021 | 203,187.00 |
Defense Technologies International Operating 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=operating-expenses&ticker=DTII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=DTII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();