Dna X (SONM) EPS (Diluted) (2021 - 2026)
Dna X's EPS (Diluted) came in at $3.77 for FY2026.
Powered by 
Analysis
Dna X (SONM) EPS (Diluted) (2021 - 2026) Analysis & Trends
Going back to FY2021, Dna X's EPS (Diluted) data covers 6 years.
- The FY2026 figure represents the highest annual EPS (Diluted) in data going back to FY2021.
- Per Business Quant, earlier years put EPS (Diluted) at -$28.58 in FY2025, -$128.36 in FY2024, -$0.39 in FY2023 and -$87.77 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 0.62 |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 2.45 |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 2.88 |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 1.69 |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 0.89 |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 3.65 |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 0.69 |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 4.26 |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 3.35 |
| 10 | Dna X | 6.47 Mn | 938,965.66 | - | -0.92 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.92 |
| Mar 31, 2026 | 5.01 |
| Dec 31, 2025 | -12.30 |
| Sep 30, 2025 | -4.83 |
| Jun 30, 2025 | -14.15 |
| Mar 31, 2025 | 1.40 |
| Dec 31, 2024 | -82.45 |
| Sep 30, 2024 | -9.32 |
| Jun 30, 2024 | -25.42 |
| Mar 31, 2024 | -12.11 |
| Dec 31, 2023 | -5.84 |
| Sep 30, 2023 | 2.21 |
| Jun 30, 2023 | 2.11 |
| Mar 31, 2023 | 0.99 |
| Dec 31, 2022 | -6.49 |
| Sep 30, 2022 | -8.02 |
| Jun 30, 2022 | -39.43 |
| Mar 31, 2022 | -67.92 |
| Dec 31, 2021 | -318.13 |
| Sep 30, 2021 | -296.88 |
API Access
Dna X EPS (Diluted) 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=eps-diluted&ticker=SONM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=SONM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();