DarkPulse (DPLS) Return on Sales [ROS] (2009 - 2026)
DarkPulse (DPLS) posted Return on Sales [ROS] of -2670.48% for Q2 2026, down 1562.90 percentage points from -1107.57% a year earlier and down 545.35 percentage points from the prior quarter.
DarkPulse (DPLS) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at DarkPulse was -1518.55%, down 885.61 percentage points year-over-year; for FY2025, it came in at -790.36%, up 689.27 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a three-year change of -405.05 percentage points (FY2022 to FY2025).
- In prior years, DarkPulse's Return on Sales [ROS] was -1479.64% in FY2024 (-444.52 pp), -1035.11% in FY2023 (-649.80 pp) and -385.31% in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q2 2024.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last three quarters, with an average year-over-year change of +307.69 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2025, with a gain of 4631.57 percentage points; the weakest was Q1 2024, with a drop of 3981.05 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -2125.12% (Q1 2026), -1198.83% (Q4 2025) and -1369.37% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 15.33% |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 23.62% |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 20.63% |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 20.45% |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 7.91% |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 19.68% |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 4.26% |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 18.68% |
| 10 | DarkPulse | 1.45 Mn | 2.45 Mn | 11,985.00 | -2,670.48% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2,670.48% |
| Mar 31, 2026 | -2,125.12% |
| Dec 31, 2025 | -1,198.83% |
| Sep 30, 2025 | -1,369.37% |
| Jun 30, 2025 | -1,107.57% |
| Mar 31, 2025 | -299.26% |
| Dec 31, 2024 | -441.74% |
| Sep 30, 2024 | -1,821.80% |
| Jun 30, 2024 | -3,277.89% |
| Mar 31, 2024 | -4,930.83% |
| Dec 31, 2023 | -1,035.11% |
| Sep 30, 2023 | -581.48% |
| Jun 30, 2023 | -605.76% |
| Mar 31, 2023 | -949.78% |
| Dec 31, 2022 | -1,383.24% |
| Sep 30, 2022 | -677.96% |
| Jun 30, 2022 | -78.86% |
| Mar 31, 2022 | -248.30% |
| Dec 31, 2021 | -136.36% |
| Sep 30, 2021 | -70.99% |
DarkPulse Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=DPLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=DPLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();