Dna X (SONM) Net Cash Flow (2018 - 2026)
Dna X's Net Cash Flow came in at -$403,000 for FY2026.
Analysis
Dna X (SONM) Net Cash Flow (2018 - 2026) Analysis & Trends
Going back to FY2018, Dna X's Net Cash Flow data covers 9 years.
- The FY2026 figure represents the highest annual Net Cash Flow since FY2022.
- Per Business Quant, earlier years put Net Cash Flow at -$4.04 million in FY2025, -$4.05 million in FY2024, -$3.82 million in FY2023 and $1.98 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | 1.86 Bn |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | 1.89 Bn |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | -7.17 Bn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | -2.87 Bn |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | -318.00 Mn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | -2.23 Bn |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | 5.86 Bn |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | -140.50 Mn |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | -721.70 Mn |
| 10 | Dna X | 6.80 Mn | 1.27 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -108,000.00 |
| Dec 31, 2025 | -834,000.00 |
| Sep 30, 2025 | 131,000.00 |
| Jun 30, 2025 | -109,000.00 |
| Mar 31, 2025 | -3.23 Mn |
| Dec 31, 2024 | -3.72 Mn |
| Sep 30, 2024 | -540,000.00 |
| Jun 30, 2024 | 348,000.00 |
| Mar 31, 2024 | -145,000.00 |
| Dec 31, 2023 | -400,000.00 |
| Sep 30, 2023 | 77,000.00 |
| Jun 30, 2023 | 784,000.00 |
| Mar 31, 2023 | -4.25 Mn |
| Dec 31, 2022 | -2.26 Mn |
| Sep 30, 2022 | -2.68 Mn |
| Jun 30, 2022 | 7.53 Mn |
| Mar 31, 2022 | -603,000.00 |
| Dec 31, 2021 | 1.05 Mn |
| Sep 30, 2021 | 3.31 Mn |
| Jun 30, 2021 | -7.02 Mn |
API Access
Dna X Net Cash Flow 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=net-cash-flow&ticker=SONM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=SONM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();