DarkPulse, Inc. (DPLS) Accumulated Expenses (2010 - 2024)
DarkPulse (DPLS) recorded Accumulated Expenses of $6,825 in Q3 2024, down 99.6% from $1.52 million a year earlier and down 99.7% from the prior quarter.
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Analysis
DarkPulse, Inc. (DPLS) Accumulated Expenses (2010 - 2024) Analysis & Trends
At the end of FY2023, DarkPulse reported Accumulated Expenses of $1.94 million, down 5.7% from FY2022.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 41.4% (FY2018 to FY2023).
- Across earlier years, Accumulated Expenses came in at $2.06 million in FY2022 and $497,078 in FY2019 (+44.7%).
- The Q3 2024 figure is the lowest quarterly Accumulated Expenses in data going back to Q4 2010.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 358.6% in Q3 2021, against a decline of 99.6% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.16 million (Q2 2024), $2.16 million (Q1 2024) and $1.94 million (Q4 2023).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 6,825.00 |
| Jun 30, 2024 | 2.16 Mn |
| Mar 31, 2024 | 2.16 Mn |
| Dec 31, 2023 | 1.94 Mn |
| Sep 30, 2023 | 1.52 Mn |
| Jun 30, 2023 | 1.58 Mn |
| Dec 31, 2022 | 2.06 Mn |
| Sep 30, 2021 | 2.70 Mn |
| Jun 30, 2021 | 562,677.00 |
| Mar 31, 2021 | 560,945.00 |
| Sep 30, 2020 | 588,693.00 |
| Jun 30, 2020 | 565,827.00 |
| Mar 31, 2020 | 531,651.00 |
| Dec 31, 2019 | 497,078.00 |
| Sep 30, 2019 | 465,337.00 |
| Jun 30, 2019 | 440,602.00 |
| Mar 31, 2019 | 469,381.00 |
| Dec 31, 2018 | 343,519.00 |
| Sep 30, 2018 | 82,904.00 |
| Jun 30, 2018 | 37,800.00 |
API Access
DarkPulse, Inc. Accumulated 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=accumulated-expenses&ticker=DPLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=DPLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();