DarkPulse (DPLS) Operating Margin (2021 - 2026)
DarkPulse's Operating Margin came in at -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) Operating Margin (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, DarkPulse reported Operating Margin of -1518.55%, down 885.61 percentage points year-over-year; for FY2025, it was -790.36%, up 689.27 percentage points from FY2024.
- Operating Margin carries a three-year change of -405.05 percentage points (FY2022 to FY2025).
- Going back by year, Operating Margin was -1479.64% in FY2024 (-444.52 pp), -1035.11% in FY2023 (-649.80 pp) and -385.31% in FY2022.
- The Q2 2026 figure represents the lowest quarterly Operating Margin since Q2 2024.
- Year-over-year, Operating Margin has declined for three consecutive quarters, with an average year-over-year change of +266.88 percentage points over the last seven quarters.
- The fastest year-over-year change in Operating Margin over five years came in Q1 2025 (a gain of 4631.57 percentage points), and the weakest in Q1 2024 (a drop of 3981.05 percentage points).
- Business Quant data shows DPLS's Operating Margin at -2125.12% (Q1 2026), -1198.83% (Q4 2025) and -1369.37% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn | 23.62% |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | 7.76% |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn | 18.67% |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | 18.38% |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 4.26% |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - | - |
| 10 | DarkPulse | 680,508.98 | 436,670.98 | 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% |
| 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% |
| Sep 30, 2021 | -70.99% |
DarkPulse Operating Margin 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-margin&ticker=DPLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=DPLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();