Mitesco (MITI) Return on Capital Employed [ROCE] (2011 - 2022)
Mitesco's Return on Capital Employed [ROCE] came in at -16827.13% for Q2 2022, down 16683.98 percentage points from -143.16% a year earlier and down 16521.32 percentage points from the prior quarter.
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Analysis
Mitesco (MITI) Return on Capital Employed [ROCE] (2011 - 2022) Analysis & Trends
For FY2021, Mitesco's Return on Capital Employed [ROCE] was -3815.91%.
- The Q2 2022 figure represents the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q1 2012.
- Business Quant data shows MITI's Return on Capital Employed [ROCE] at -305.81% (Q1 2022), -223.16% (Q4 2021) and -259.16% (Q3 2021) in the three quarters before Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,959.78 Bn | 3,895.27 Bn | 62.56 Bn | 26.45% |
| 2 | International Business Machines | 231.09 Bn | 186.37 Bn | 9.71 Bn | 9.65% |
| 3 | Cloudflare | 109.27 Bn | 91.71 Bn | 557.23 Mn | -6.94% |
| 4 | Equinix | 103.94 Bn | 91.83 Bn | 1.31 Bn | 5.91% |
| 5 | Nebius | 33.90 Bn | 7.34 Bn | 448.70 Mn | -2.94% |
| 6 | Verisign | 27.94 Bn | 25.29 Bn | 393.20 Mn | 730.86% |
| 7 | CoreWeave | 26.85 Bn | 26.85 Bn | - | - |
| 8 | Nutanix | 16.04 Bn | 7.73 Bn | 651.35 Mn | 10.69% |
| 9 | GoDaddy | 13.84 Bn | 9.22 Bn | 843.00 Mn | 27.83% |
| 10 | Mitesco | 209,405.97 | 98,710.97 | 20,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | -16,827.13% |
| Mar 31, 2022 | -305.81% |
| Dec 31, 2021 | -223.16% |
| Sep 30, 2021 | -259.16% |
| Jun 30, 2021 | -143.16% |
| Mar 31, 2021 | -280.09% |
| Dec 31, 2016 | -0.24% |
| Sep 30, 2016 | -0.21% |
| Sep 30, 2013 | -101.53% |
| Jun 30, 2013 | -153.44% |
| Mar 31, 2012 | -2,742.18% |
| Jun 30, 2011 | -0.01% |
API Access
Mitesco 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=MITI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MITI", "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=MITI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();