Dna X (SONM) Accumulated Expenses (2018 - 2026)
Dna X's Accumulated Expenses came in at $960,000 for FY2026.
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Analysis
Dna X (SONM) Accumulated Expenses (2018 - 2026) Analysis & Trends
Going back to FY2018, Dna X's Accumulated Expenses data covers 9 years.
- Accumulated Expenses carries a five-year compound annual growth rate of -39.0% (FY2021 to FY2026).
- The FY2026 figure represents the highest annual Accumulated Expenses since FY2023.
- Per Business Quant, earlier years put Accumulated Expenses at $704,000 in FY2025 (+181.6%), $250,000 in FY2024 (-98.0%), $12.3 million in FY2023 (+15.0%) and $10.69 million in FY2022 (-5.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 108.60 Bn | 96.94 Bn | - |
| 2 | Bank of New York Mellon | 103.36 Bn | 36.98 Bn | - |
| 3 | Intercontinental Exchange | 97.74 Bn | 90.63 Bn | - |
| 4 | Robinhood Markets | 76.13 Bn | 55.67 Bn | - |
| 5 | Nasdaq | 60.59 Bn | 58.02 Bn | 1.48 Bn |
| 6 | State Street | 47.13 Bn | 47.13 Bn | - |
| 7 | Cboe Global Markets | 36.84 Bn | 27.32 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 35.29 Bn | 11.60 Bn | - |
| 9 | Northern Trust | 32.36 Bn | 32.36 Bn | - |
| 10 | Dna X | 3.59 Mn | -1.94 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 960,000.00 |
| Mar 31, 2026 | 1.58 Mn |
| Dec 31, 2025 | 704,000.00 |
| Sep 30, 2025 | 13.63 Mn |
| Jun 30, 2025 | 12.16 Mn |
| Mar 31, 2025 | 15.12 Mn |
| Dec 31, 2024 | 250,000.00 |
| Sep 30, 2024 | 23.13 Mn |
| Jun 30, 2024 | 17.71 Mn |
| Mar 31, 2024 | 11.88 Mn |
| Dec 31, 2023 | 12.30 Mn |
| Sep 30, 2023 | 10.61 Mn |
| Jun 30, 2023 | 9.48 Mn |
| Mar 31, 2023 | 8.71 Mn |
| Dec 31, 2022 | 10.69 Mn |
| Sep 30, 2022 | 10.76 Mn |
| Jun 30, 2022 | 12.05 Mn |
| Mar 31, 2022 | 11.27 Mn |
| Dec 31, 2021 | 11.35 Mn |
| Sep 30, 2021 | 10.15 Mn |
API Access
Dna X Accumulated Expenses 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=accumulated-expenses&ticker=SONM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SONM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();