Dna X (SONM) Change in Taxes (2018 - 2026)
Dna X's Change in Taxes came in at -$468,000 for FY2026.
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Analysis
Dna X (SONM) Change in Taxes (2018 - 2026) Analysis & Trends
Going back to FY2018, Dna X's Change in Taxes data covers 9 years.
- The FY2026 figure represents the lowest annual Change in Taxes since FY2020.
- Per Business Quant, earlier years put Change in Taxes at $899,000 in FY2025 (+425.7%), $171,000 in FY2024 (+72.7%), $99,000 in FY2023 (+395.0%) and $20,000 in FY2022 (-88.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | -368.00 Mn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | - |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | - |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 23.90 Mn |
| 10 | Dna X | 6.80 Mn | 1.27 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -221,000.00 |
| Dec 31, 2025 | 784,000.00 |
| Sep 30, 2025 | 64,000.00 |
| Jun 30, 2025 | -44,000.00 |
| Mar 31, 2025 | 95,000.00 |
| Dec 31, 2024 | 85,000.00 |
| Sep 30, 2024 | 107,000.00 |
| Jun 30, 2024 | -64,000.00 |
| Mar 31, 2024 | 43,000.00 |
| Dec 31, 2023 | 66,000.00 |
| Sep 30, 2023 | 16,000.00 |
| Jun 30, 2023 | 15,000.00 |
| Mar 31, 2023 | 2,000.00 |
| Dec 31, 2022 | -51,000.00 |
| Sep 30, 2022 | 45,000.00 |
| Mar 31, 2022 | 26,000.00 |
| Dec 31, 2021 | 126,000.00 |
| Sep 30, 2021 | 14,000.00 |
| Jun 30, 2021 | 13,000.00 |
| Mar 31, 2021 | 13,000.00 |
API Access
Dna X Change in Taxes 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=change-in-taxes&ticker=SONM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=SONM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();