DarkPulse (DPLS) Return on Capital Employed [ROCE] (2013 - 2022)
DarkPulse (DPLS) reported Return on Capital Employed [ROCE] of -362.69% for Q4 2022, down 296.43 percentage points from -66.26% a year earlier and down 220.78 percentage points from the prior quarter.
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Analysis
DarkPulse (DPLS) Return on Capital Employed [ROCE] (2013 - 2022) Analysis & Trends
For FY2022, DarkPulse posted Return on Capital Employed [ROCE] of -343.76%.
- Return on Capital Employed [ROCE] has a five-year change of -323.06 percentage points (FY2017 to FY2022).
- The Q4 2022 figure ranks as the lowest quarterly Return on Capital Employed [ROCE] since Q4 2014.
- Per Business Quant data, the three quarters before Q4 2022 came in at -141.91% (Q3 2022), -86.36% (Q2 2022) and -84.36% (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 23.33% |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 34.24% |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 8.28% |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 30.79% |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 8.90% |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 22.24% |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 7.98% |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 35.82% |
| 10 | DarkPulse | 1.45 Mn | 2.45 Mn | 11,985.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -362.69% |
| Sep 30, 2022 | -141.91% |
| Jun 30, 2022 | -86.36% |
| Mar 31, 2022 | -84.36% |
| Dec 31, 2021 | -66.26% |
| Jun 30, 2018 | -90.29% |
| Dec 31, 2017 | -27.60% |
| Dec 31, 2014 | -1,830.52% |
| Sep 30, 2014 | -340.34% |
| Jun 30, 2014 | -120.66% |
| Mar 31, 2014 | -156.01% |
| Dec 31, 2013 | 263.42% |
| Sep 30, 2013 | 239.68% |
API Access
DarkPulse Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=DPLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=DPLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();