Dna X (SONM) Net Cash Flow (2018 - 2026)
Dna X's Net Cash Flow came in at -$403,000 for FY2026.
Powered by 
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 | Cme | 106.56 Bn | 94.66 Bn | - | -7.17 Bn |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | -2.87 Bn |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | 1.86 Bn |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | -318.00 Mn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | 5.86 Bn |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | -721.70 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 22.80 Mn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | 121.07 Mn |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | -3.41 Bn |
| 10 | Dna X | 4.17 Mn | -1.36 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_KEYimport 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();