Dna X (SONM) Return on Sales [ROS] (2018 - 2025)
Dna X's Return on Sales [ROS] came in at -6.99% for FY2026.
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Analysis
Dna X (SONM) Return on Sales [ROS] (2018 - 2025) Analysis & Trends
Going back to FY2018, Dna X's Return on Sales [ROS] data covers 8 years.
- Return on Sales [ROS] carries a five-year change of +62.64 percentage points (FY2021 to FY2026).
- The FY2026 figure represents the lowest annual Return on Sales [ROS] since FY2022.
- Per Business Quant, earlier years put Return on Sales [ROS] at -5.32% in FY2024 (-5.87 pp), 0.55% in FY2023 (+21.01 pp) and -20.46% in FY2022 (+49.17 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 66.36% |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 119.30% |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 64.89% |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 38.52% |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 28.12% |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 83.30% |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 138.98% |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 191.07% |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 32.99% |
| 10 | Dna X | 5.88 Mn | 343,658.67 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -24.55% |
| Jun 30, 2025 | -13.15% |
| Mar 31, 2025 | -5.20% |
| Dec 31, 2024 | 56.29% |
| Sep 30, 2024 | -15.82% |
| Jun 30, 2024 | -56.18% |
| Mar 31, 2024 | -16.03% |
| Dec 31, 2023 | -9.34% |
| Sep 30, 2023 | 2.50% |
| Jun 30, 2023 | 2.78% |
| Mar 31, 2023 | 1.29% |
| Dec 31, 2022 | -4.39% |
| Sep 30, 2022 | -9.41% |
| Jun 30, 2022 | -35.30% |
| Mar 31, 2022 | -53.42% |
| Dec 31, 2021 | -73.71% |
| Sep 30, 2021 | -74.23% |
| Jun 30, 2021 | -54.26% |
| Mar 31, 2021 | -73.94% |
| Dec 31, 2020 | -47.11% |
API Access
Dna X Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=SONM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=SONM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();