Dna X (SONM) EBITDA Margin (2018 - 2025)
Dna X (SONM) reported EBITDA Margin of -6.80% for FY2026.
Analysis
Dna X (SONM) EBITDA Margin (2018 - 2025) Analysis & Trends
Dating back to FY2018, Dna X's EBITDA Margin record includes 8 years.
- EBITDA Margin has a five-year change of +58.93 percentage points (FY2021 to FY2026).
- The FY2026 figure ranks as the lowest annual EBITDA Margin since FY2022.
- According to Business Quant data, EBITDA Margin came in at 0.78% in FY2024 (-2.12 pp), 2.90% in FY2023 (+19.97 pp) and -17.06% in FY2022 (+48.67 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 68.12% |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 126.33% |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 69.82% |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 49.29% |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 34.64% |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 88.24% |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 139.87% |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 205.77% |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 34.94% |
| 10 | Dna X | 6.47 Mn | 938,965.66 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -18.68% |
| Jun 30, 2025 | -6.02% |
| Mar 31, 2025 | 1.11% |
| Dec 31, 2024 | 62.39% |
| Sep 30, 2024 | -9.71% |
| Jun 30, 2024 | -48.85% |
| Mar 31, 2024 | -10.78% |
| Dec 31, 2023 | -2.23% |
| Sep 30, 2023 | 2.74% |
| Jun 30, 2023 | 4.84% |
| Mar 31, 2023 | 3.73% |
| Dec 31, 2022 | 3.16% |
| Sep 30, 2022 | -8.61% |
| Jun 30, 2022 | -33.63% |
| Mar 31, 2022 | -51.98% |
| Dec 31, 2021 | -70.58% |
| Sep 30, 2021 | -70.18% |
| Jun 30, 2021 | -50.15% |
| Mar 31, 2021 | -69.41% |
| Dec 31, 2020 | -44.54% |
API Access
Dna X EBITDA Margin 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=ebitda-margin&ticker=SONM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=SONM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();