DarkPulse (DPLS) Other Operating Expenses (2014 - 2026)
DarkPulse (DPLS) posted Other Operating Expenses of $274,859 for Q2 2026, down 3.0% from $283,393 a year earlier but up 0.3% from the prior quarter.
DarkPulse (DPLS) Other Operating Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at DarkPulse was $1.65 million, up 22.8% year-over-year; for FY2025, it was $1.68 million, up 20.1% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 101.7% (FY2020 to FY2025).
- In prior years, DarkPulse's Other Operating Expenses was $1.4 million in FY2024 (-92.2%), $17.94 million in FY2023 (+382.4%), $3.72 million in FY2022 (+26.9%) and $2.93 million in FY2021.
- Quarterly Other Operating Expenses has run from a low of -$771,795 in Q4 2022 to a high of $3.06 million in Q4 2023 over five years.
- On a year-over-year basis, Other Operating Expenses increased in three of the last eight quarters, with growth averaging 19.5%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q2 2022, with growth of 478.8%; the weakest was Q3 2023, with a decline of 89.6%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $274,146 (Q1 2026), $813,222 (Q4 2025) and $289,222 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - |
| 10 | DarkPulse | 680,508.98 | 436,670.98 | 11,985.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 274,859.00 |
| Mar 31, 2026 | 274,146.00 |
| Dec 31, 2025 | 813,222.00 |
| Sep 30, 2025 | 289,222.00 |
| Jun 30, 2025 | 283,393.00 |
| Mar 31, 2025 | 297,035.00 |
| Dec 31, 2024 | 352,855.00 |
| Sep 30, 2024 | 411,022.00 |
| Jun 30, 2024 | 267,660.00 |
| Mar 31, 2024 | 369,664.00 |
| Dec 31, 2023 | 3.06 Mn |
| Sep 30, 2023 | 153,423.00 |
| Jun 30, 2023 | 1.11 Mn |
| Mar 31, 2023 | 13.90 Mn |
| Jun 30, 2022 | 2.36 Mn |
| Sep 30, 2021 | 33,000.00 |
| Jun 30, 2021 | 109,200.00 |
| Mar 31, 2021 | 42,750.00 |
| Dec 31, 2020 | 7,850.00 |
| Jun 30, 2019 | 12,800.00 |
DarkPulse Other 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=other-operating-expenses&ticker=DPLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=DPLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();