Defense Technologies International (DTII) Non-Current Assets (2012 - 2022)
Defense Technologies International's Non-Current Assets came in at $2,846 for fiscal Q2 2023 (quarter ended Oct 31, 2022), down 80.4% from $14,506 a year earlier and down 50.6% from the prior quarter.
Defense Technologies International (DTII) Non-Current Assets (2012 - 2022) Analysis & Trends
At the end of FY2022 (ended Apr 30, 2022), Defense Technologies International's Non-Current Assets was $8,676, down 57.3% from FY2021.
- Non-Current Assets carries a five-year compound annual growth rate of -53.0% (FY2017 to FY2022).
- Going back by fiscal year, Non-Current Assets was $20,337 in FY2021 (-36.4%), $31,996 in FY2020 and $378,600 in FY2018 (unchanged).
- The fiscal Q2 2023 figure represents the lowest quarterly Non-Current Assets in data going back to fiscal Q4 2012.
- Year-over-year, Non-Current Assets has declined for five consecutive quarters, with an average decline of 58.7% over the last seven quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in fiscal Q3 2019 (growth of 0.8%), and the weakest in fiscal Q2 2023 (a decline of 80.4%).
- Business Quant data shows DTII's Non-Current Assets at $5,761 (Q1 2023), $8,676 (Q4 2022) and $11,591 (Q3 2022) in the three fiscal quarters before Q2 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 87.98 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 1.25 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 41.24 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 34.05 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 9.06 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 33.13 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 13.11 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 35.17 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 49.27 Bn |
| 10 | Defense Technologies International | 375,317.66 | -25,289.34 | - | - |
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2022 | 2,846.00 |
| Jul 31, 2022 | 5,761.00 |
| Apr 30, 2022 | 8,676.00 |
| Jan 31, 2022 | 11,591.00 |
| Oct 31, 2021 | 14,506.00 |
| Jul 30, 2021 | 17,421.00 |
| Apr 30, 2021 | 20,337.00 |
| Jan 31, 2021 | 23,232.00 |
| Oct 31, 2020 | 26,166.00 |
| Apr 30, 2020 | 31,996.00 |
| Jan 31, 2020 | 94,661.00 |
| Oct 31, 2019 | 75,256.00 |
| Jul 31, 2019 | 84,805.00 |
| Jan 31, 2019 | 381,600.00 |
| Oct 31, 2018 | 381,600.00 |
| Jul 31, 2018 | 378,600.00 |
| Apr 30, 2018 | 378,600.00 |
| Jan 31, 2018 | 378,600.00 |
| Oct 31, 2017 | 378,600.00 |
| Jul 31, 2017 | 378,600.00 |
Defense Technologies International Non-Current Assets 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=non-current-assets&ticker=DTII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=DTII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();