Fdctech (FDCT) Return on Capital Employed [ROCE] (2021 - 2026)
Fdctech's Return on Capital Employed [ROCE] came in at 41.23% for Q1 2026, up 43.66 percentage points from -2.43% a year earlier but down 38.43 percentage points from the prior quarter.
Fdctech (FDCT) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Fdctech's Return on Capital Employed [ROCE] was 71.89%, up 76.30 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a four-year change of +188.62 percentage points (FY2021 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -4.41% in FY2024, -44.32% in FY2022 (+72.42 pp) and -116.74% in FY2021.
- The five-year range for quarterly Return on Capital Employed [ROCE] is -116.12% (Q3 2021) to 79.66% (Q4 2025).
- Year-over-year, Return on Capital Employed [ROCE] has increased for four consecutive quarters, with an average year-over-year change of +20.95 percentage points over the last seven quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q4 2025 (a gain of 84.84 percentage points), and the weakest in Q1 2025 (a drop of 18.00 percentage points).
- Business Quant data shows FDCT's Return on Capital Employed [ROCE] at 79.66% (Q4 2025), 19.26% (Q3 2025) and 7.64% (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.07 Bn | 98.17 Bn | - | 11.13% |
| 2 | Intercontinental Exchange | 91.87 Bn | 85.60 Bn | - | 9.74% |
| 3 | Robinhood Markets | 86.69 Bn | 67.72 Bn | - | 48.09% |
| 4 | Nasdaq | 57.28 Bn | 54.72 Bn | 1.48 Bn | 11.95% |
| 5 | Interactive Brokers | 36.53 Bn | 13.64 Bn | - | - |
| 6 | Cboe Global Markets | 35.55 Bn | 27.20 Bn | 731.60 Mn | 24.89% |
| 7 | Tradeweb Markets | 25.97 Bn | 17.98 Bn | - | - |
| 8 | LPL Financial Holdings | 25.14 Bn | 20.46 Bn | - | - |
| 9 | Circle Internet | 21.57 Bn | 15.45 Bn | 288.85 Mn | 4.11% |
| 10 | Fdctech | 18.49 Mn | -46.80 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 41.23% |
| Dec 31, 2025 | 79.66% |
| Sep 30, 2025 | 19.26% |
| Jun 30, 2025 | 7.64% |
| Mar 31, 2025 | -2.43% |
| Dec 31, 2024 | -5.18% |
| Sep 30, 2024 | -2.32% |
| Jun 30, 2024 | 5.93% |
| Mar 31, 2024 | 15.57% |
| Sep 30, 2023 | 4.96% |
| Jun 30, 2023 | -14.23% |
| Mar 31, 2023 | -30.20% |
| Dec 31, 2022 | -42.12% |
| Sep 30, 2022 | -65.43% |
| Jun 30, 2022 | -74.46% |
| Mar 31, 2022 | -67.31% |
| Dec 31, 2021 | -92.57% |
| Sep 30, 2021 | -116.12% |
| Jun 30, 2021 | -72.48% |
| Mar 31, 2021 | -121.02% |
Fdctech 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=FDCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "FDCT", "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=FDCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();