Dna X (SONM) Asset Utilization Ratio (2019 - 2025)
Dna X's Asset Utilization Ratio came in at 2.89 for FY2026.
Analysis
Dna X (SONM) Asset Utilization Ratio (2019 - 2025) Analysis & Trends
Going back to FY2019, Dna X's Asset Utilization Ratio data covers 7 years.
- The FY2026 figure represents the highest annual Asset Utilization Ratio in data going back to FY2019.
- Per Business Quant, earlier years put Asset Utilization Ratio at 1.22 in FY2024 (-28.7%), 1.71 in FY2023 (+15.8%) and 1.47 in FY2022 (+23.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 0.10 |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 0.04 |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 0.03 |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 0.08 |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 0.32 |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 0.04 |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 0.03 |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 0.03 |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 0.47 |
| 10 | Dna X | 6.47 Mn | 938,965.66 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.55 |
| Jun 30, 2025 | 1.61 |
| Mar 31, 2025 | 1.54 |
| Dec 31, 2024 | 1.31 |
| Sep 30, 2024 | 1.19 |
| Jun 30, 2024 | 1.57 |
| Mar 31, 2024 | 1.72 |
| Dec 31, 2023 | 1.63 |
| Sep 30, 2023 | 1.86 |
| Jun 30, 2023 | 1.84 |
| Mar 31, 2023 | 1.56 |
| Dec 31, 2022 | 1.40 |
| Sep 30, 2022 | 1.48 |
| Jun 30, 2022 | 1.45 |
| Mar 31, 2022 | 1.38 |
| Dec 31, 2021 | 1.38 |
| Sep 30, 2021 | 1.38 |
| Jun 30, 2021 | 1.33 |
| Mar 31, 2021 | 1.40 |
| Dec 31, 2020 | 1.14 |
API Access
Dna X Asset Utilization Ratio 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=asset-utilization-ratio&ticker=SONM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=SONM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();