DarkPulse, Inc. (DPLS) Operating Expenses (2010 - 2026)
DarkPulse (DPLS) recorded Operating Expenses of $488,211 in Q2 2026, down 19.4% from $605,540 a year earlier but up 21.7% from the prior quarter.
DarkPulse, Inc. (DPLS) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, DarkPulse's Operating Expenses came in at $2.47 million as of Jun 30, 2026, up 21.4% year-over-year; for FY2025, it was $2.65 million, up 32.3% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 59.2% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $2 million in FY2024 (-90.2%), $20.49 million in FY2023 (-30.8%), $29.62 million in FY2022 (+197.8%) and $9.95 million in FY2021.
- Quarterly Operating Expenses has ranged from $383,222 in Q4 2024 to $15.61 million in Q4 2022 over the past five years.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with growth averaging 8.1%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 990.5% in Q2 2022, against a decline of 96.3% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $401,277 (Q1 2026), $1.11 million (Q4 2025) and $473,883 (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 488,211.00 |
| Mar 31, 2026 | 401,277.00 |
| Dec 31, 2025 | 1.11 Mn |
| Sep 30, 2025 | 473,883.00 |
| Jun 30, 2025 | 605,540.00 |
| Mar 31, 2025 | 459,114.00 |
| Dec 31, 2024 | 383,222.00 |
| Sep 30, 2024 | 589,434.00 |
| Jun 30, 2024 | 482,976.00 |
| Mar 31, 2024 | 545,646.00 |
| Dec 31, 2023 | 3.29 Mn |
| Sep 30, 2023 | 556,292.00 |
| Jun 30, 2023 | 1.73 Mn |
| Mar 31, 2023 | 14.92 Mn |
| Dec 31, 2022 | 15.61 Mn |
| Sep 30, 2022 | 5.33 Mn |
| Jun 30, 2022 | 3.97 Mn |
| Mar 31, 2022 | 4.68 Mn |
| Dec 31, 2021 | 6.20 Mn |
| Sep 30, 2021 | 3.22 Mn |
DarkPulse, Inc. 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=operating-expenses&ticker=DPLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=DPLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();