DarkPulse (DPLS) Property, Plant & Equipment (Net) (2010 - 2026)
DarkPulse's Property, Plant & Equipment (Net) was $546,355 in Q2 2026, down 4.0% from $568,866 a year earlier and unchanged from the prior quarter.
DarkPulse (DPLS) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at DarkPulse came in at $546,447, down 21.8% from FY2024.
- Property, Plant & Equipment (Net) has now declined for three consecutive years, with a four-year compound annual growth rate of -25.6% (FY2021 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $698,982 in FY2024 (-6.0%), $743,282 in FY2023 (-61.6%), $1.93 million in FY2022 (+8.2%) and $1.79 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q1 2016.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for 13 straight quarters, with an average decline of 14.7% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2022 (growth of 8.2%); the worst was Q1 2024 (a decline of 62.1%).
- Per Business Quant data, DPLS's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $546,378 (Q1 2026), $546,447 (Q4 2025) and $554,341 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 1.72 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 1.77 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 10.67 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 111.03 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 451.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 791.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 1.74 Bn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | 443.00 Mn |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 194.72 Mn |
| 10 | DarkPulse | 1.45 Mn | 2.45 Mn | 11,985.00 | 546,355.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 546,355.00 |
| Mar 31, 2026 | 546,378.00 |
| Dec 31, 2025 | 546,447.00 |
| Sep 30, 2025 | 554,341.00 |
| Jun 30, 2025 | 568,866.00 |
| Mar 31, 2025 | 662,052.00 |
| Dec 31, 2024 | 698,982.00 |
| Sep 30, 2024 | 721,504.00 |
| Jun 30, 2024 | 704,923.00 |
| Mar 31, 2024 | 723,994.00 |
| Dec 31, 2023 | 743,282.00 |
| Sep 30, 2023 | 875,173.00 |
| Jun 30, 2023 | 905,688.00 |
| Mar 31, 2023 | 1.91 Mn |
| Dec 31, 2022 | 1.93 Mn |
| Sep 30, 2022 | 1.71 Mn |
| Jun 30, 2022 | 2.20 Mn |
| Mar 31, 2022 | 1.78 Mn |
| Dec 31, 2021 | 1.79 Mn |
| Sep 30, 2021 | 1.84 Mn |
DarkPulse Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=DPLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "DPLS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=DPLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();