Dna X (SONM) Return on Capital Employed [ROCE] (2019 - 2026)
Dna X's Return on Capital Employed [ROCE] came in at -25.69% for FY2026.
Analysis
Dna X (SONM) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
Going back to FY2019, Dna X's Return on Capital Employed [ROCE] data covers 7 years.
- Return on Capital Employed [ROCE] carries a five-year change of +128.06 percentage points (FY2021 to FY2026).
- The FY2026 figure represents the highest annual Return on Capital Employed [ROCE] since FY2023.
- Per Business Quant, earlier years put Return on Capital Employed [ROCE] at -74.68% in FY2024 (-76.94 pp), 2.26% in FY2023 (+95.50 pp) and -93.24% in FY2022 (+60.51 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 99.92 Bn | 81.02 Bn | - | 48.09% |
| 2 | Bank of New York Mellon | 97.64 Bn | 37.02 Bn | - | - |
| 3 | Cme | 95.24 Bn | 95.24 Bn | - | 11.13% |
| 4 | Intercontinental Exchange | 84.98 Bn | 78.79 Bn | - | 9.74% |
| 5 | Nasdaq | 51.52 Bn | 48.95 Bn | 1.50 Bn | 11.33% |
| 6 | State Street | 47.96 Bn | 47.96 Bn | - | - |
| 7 | Interactive Brokers | 38.66 Bn | 32.12 Bn | - | - |
| 8 | Northern Trust | 30.96 Bn | 30.96 Bn | - | - |
| 9 | Cboe Global Markets | 29.00 Bn | 20.65 Bn | 731.60 Mn | 24.89% |
| 10 | Dna X | 6.15 Mn | 611,547.01 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -21.99% |
| Jun 30, 2025 | 1,044.38% |
| Mar 31, 2025 | -40.39% |
| Dec 31, 2024 | -440.97% |
| Sep 30, 2024 | -83.46% |
| Jun 30, 2024 | -56.42% |
| Mar 31, 2024 | -8.88% |
| Dec 31, 2023 | 2.04% |
| Sep 30, 2023 | 3.20% |
| Jun 30, 2023 | -8.62% |
| Mar 31, 2023 | -29.81% |
| Dec 31, 2022 | -80.36% |
| Sep 30, 2022 | -140.04% |
| Jun 30, 2022 | -325.94% |
| Mar 31, 2022 | -250.38% |
| Dec 31, 2021 | -203.69% |
| Sep 30, 2021 | -219.78% |
| Jun 30, 2021 | -203.91% |
| Mar 31, 2021 | -114.17% |
| Dec 31, 2020 | -81.57% |
API Access
Dna X 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=SONM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "SONM", "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=SONM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();