DarkPulse (DPLS) Return on Assets [ROA] (2009 - 2026)
DarkPulse (DPLS) posted Return on Assets [ROA] of -224.95% for Q2 2026, down 138.36 percentage points from -86.59% a year earlier and down 9.94 percentage points from the prior quarter.
DarkPulse (DPLS) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2025, DarkPulse's Return on Assets [ROA] came in at -140.78%, down 27.93 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of -88.20 percentage points (FY2020 to FY2025).
- In prior years, DarkPulse's Return on Assets [ROA] was -112.85% in FY2024 (+53.28 pp), -166.13% in FY2023 (-42.54 pp), -123.59% in FY2022 (-96.72 pp) and -26.87% in FY2021 (+25.71 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Assets [ROA] since Q4 2023.
- On a year-over-year basis, Return on Assets [ROA] has declined in each of the last three quarters, with an average year-over-year change of +76.57 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q3 2024, with a gain of 364.87 percentage points; the weakest was Q3 2023, with a drop of 495.69 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was -215.01% (Q1 2026), -172.02% (Q4 2025) and -88.39% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 11.97% |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 19.46% |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 2.15% |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 15.67% |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 3.63% |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 15.83% |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 2.76% |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 13.31% |
| 10 | DarkPulse | 1.45 Mn | 2.45 Mn | 11,985.00 | -224.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -224.95% |
| Mar 31, 2026 | -215.01% |
| Dec 31, 2025 | -172.02% |
| Sep 30, 2025 | -88.39% |
| Jun 30, 2025 | -86.59% |
| Mar 31, 2025 | -140.17% |
| Dec 31, 2024 | -134.57% |
| Sep 30, 2024 | -193.02% |
| Jun 30, 2024 | -172.31% |
| Mar 31, 2024 | -180.75% |
| Dec 31, 2023 | -401.98% |
| Sep 30, 2023 | -557.89% |
| Jun 30, 2023 | -481.80% |
| Mar 31, 2023 | -263.74% |
| Dec 31, 2022 | -125.97% |
| Sep 30, 2022 | -62.20% |
| Jun 30, 2022 | -38.31% |
| Mar 31, 2022 | -26.98% |
| Dec 31, 2021 | -14.59% |
| Sep 30, 2021 | -11.52% |
DarkPulse Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=DPLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=DPLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();