Defense Technologies International (DTII) Change in Accured Expenses (2013 - 2026)
Defense Technologies International's Change in Accured Expenses came in at $59,624 for fiscal Q3 2026 (quarter ended Jan 31, 2026), down 51.9% from $123,907 a year earlier but up 488.2% from the prior quarter.
Defense Technologies International (DTII) Change in Accured Expenses (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jan 31, 2026, Defense Technologies International reported Change in Accured Expenses of $263,492, down 52.9% year-over-year; for FY2025 (ended Apr 30, 2025), it was $647,244, up 212.6% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- Going back by fiscal year, Change in Accured Expenses was $207,019 in FY2024 (-78.7%), $973,841 in FY2023 (+135.9%), $412,842 in FY2022 (+35.9%) and $303,845 in FY2021 (+0.7%).
- The five-year range for quarterly Change in Accured Expenses is -$66,975 (fiscal Q1 2025) to $673,411 (fiscal Q1 2023).
- Year-over-year, Change in Accured Expenses increased in three of the last six quarters, with growth averaging 119.7%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q1 2023 (growth of 739.8%), and the weakest in fiscal Q2 2026 (a decline of 97.7%).
- Business Quant data shows DTII's Change in Accured Expenses at $10,136 (Q2 2026), $53,348 (Q1 2026) and $140,384 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 2.10 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 190.00 Mn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 41.00 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 | 82.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | -34.00 Mn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 895.00 Mn |
| 10 | Defense Technologies International | 375,317.66 | -25,289.34 | - | 59,624.00 |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 59,624.00 |
| Oct 31, 2025 | 10,136.00 |
| Jul 31, 2025 | 53,348.00 |
| Apr 30, 2025 | 140,384.00 |
| Jan 31, 2025 | 123,907.00 |
| Oct 31, 2024 | 449,928.00 |
| Jul 31, 2024 | -66,975.00 |
| Apr 30, 2024 | 52,810.00 |
| Jan 31, 2024 | 45,139.00 |
| Oct 31, 2023 | 65,450.00 |
| Jul 31, 2023 | 43,620.00 |
| Apr 30, 2023 | 132,277.00 |
| Jan 31, 2023 | 72,475.00 |
| Oct 31, 2022 | 95,678.00 |
| Jul 31, 2022 | 673,411.00 |
| Apr 30, 2022 | 130,194.00 |
| Jan 31, 2022 | 126,620.00 |
| Oct 31, 2021 | 75,842.00 |
| Jul 30, 2021 | 80,186.00 |
| Apr 30, 2021 | -40,627.00 |
Defense Technologies International Change in Accured 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=change-in-accured-expenses&ticker=DTII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=DTII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();