byNordic Acquisition (BYNO) Return on Capital Employed [ROCE] (2022 - 2025)
byNordic Acquisition's Return on Capital Employed [ROCE] was -191.61% in FY2025, down 184.34 percentage points from -7.27% in FY2024.
Analysis
byNordic Acquisition (BYNO) Return on Capital Employed [ROCE] (2022 - 2025) Analysis & Trends
From FY2022 onward, byNordic Acquisition has reported Return on Capital Employed [ROCE] for 4 years.
- Return on Capital Employed [ROCE] has now declined for three consecutive years, with a three-year change of -190.37 percentage points (FY2022 to FY2025).
- Per Business Quant data, Return on Capital Employed [ROCE] in earlier years was -7.27% in FY2024 (-5.84 pp), -1.43% in FY2023 (-0.19 pp) and -1.24% in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.29 Bn | 98.39 Bn | - | 11.13% |
| 2 | Intercontinental Exchange | 91.73 Bn | 85.47 Bn | - | 9.74% |
| 3 | Robinhood Markets | 85.57 Bn | 66.60 Bn | - | 48.09% |
| 4 | Nasdaq | 57.08 Bn | 54.52 Bn | 1.48 Bn | 11.95% |
| 5 | Interactive Brokers | 36.00 Bn | 13.12 Bn | - | - |
| 6 | Cboe Global Markets | 35.61 Bn | 27.26 Bn | 731.60 Mn | 24.89% |
| 7 | Tradeweb Markets | 26.02 Bn | 18.03 Bn | - | - |
| 8 | LPL Financial Holdings | 25.19 Bn | 20.51 Bn | - | - |
| 9 | Circle Internet | 21.29 Bn | 15.17 Bn | 288.85 Mn | 4.11% |
| 10 | byNordic Acquisition | 176.00 Mn | 175.18 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -114.95% |
| Jun 30, 2025 | -26.87% |
| Mar 31, 2025 | -28.73% |
| Dec 31, 2024 | -24.54% |
| Sep 30, 2024 | -6.77% |
| Jun 30, 2024 | -3.66% |
| Mar 31, 2024 | -3.73% |
| Dec 31, 2023 | -4.35% |
| Sep 30, 2023 | -1.52% |
| Jun 30, 2023 | -0.80% |
| Mar 31, 2023 | -0.75% |
| Dec 31, 2022 | -0.62% |
| Sep 30, 2022 | -0.46% |
| Jun 30, 2022 | -0.33% |
| Mar 31, 2022 | -0.38% |
API Access
byNordic Acquisition 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=BYNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "BYNO", "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=BYNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();