DarkPulse (DPLS) Capital Expenditures (2011 - 2024)
DarkPulse (DPLS) posted Capital Expenditures of -$27,269 for Q4 2024.
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Analysis
DarkPulse (DPLS) Capital Expenditures (2011 - 2024) Analysis & Trends
For FY2024, DarkPulse's Capital Expenditures came in at $33,162, down 67.6% from FY2023.
- Annual Capital Expenditures shows a three-year compound annual growth rate of -64.7% (FY2021 to FY2024).
- In prior years, DarkPulse's Capital Expenditures was $102,350 in FY2023 (-95.1%), $2.07 million in FY2022 (+174.8%) and $754,961 in FY2021.
- The Q4 2024 figure stands as the lowest quarterly Capital Expenditures in data going back to Q1 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 250.26 Mn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 107.53 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 618.00 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 6.36 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 27.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 61.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 112.37 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 19.27 Mn |
| 10 | DarkPulse | 1.45 Mn | 2.45 Mn | 11,985.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -27,269.00 |
| Sep 30, 2024 | 60,431.00 |
| Mar 31, 2023 | 102,350.00 |
| Dec 31, 2022 | 1.55 Mn |
| Sep 30, 2022 | 90,901.00 |
| Jun 30, 2022 | 438,429.00 |
| Dec 31, 2021 | 676,299.00 |
| Sep 30, 2021 | 78,662.00 |
| Sep 30, 2013 | -591,694.00 |
| Jun 30, 2013 | -591,694.00 |
| Mar 31, 2013 | -1,300.00 |
| Dec 31, 2012 | -4,168.00 |
| Sep 30, 2012 | 1,104.00 |
| Mar 31, 2012 | 980.00 |
| Dec 31, 2011 | 191,120.00 |
API Access
DarkPulse Capital Expenditures 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=capital-expenditures&ticker=DPLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=DPLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();