Dna X (SONM) Total Debt (2018 - 2026)
Dna X's Total Debt came in at $2.4 million for FY2026.
Analysis
Dna X (SONM) Total Debt (2018 - 2026) Analysis & Trends
Going back to FY2018, Dna X's Total Debt data covers 7 years.
- Total Debt carries a five-year compound annual growth rate of 62.2% (FY2021 to FY2026).
- The FY2026 figure represents the lowest annual Total Debt since FY2022.
- Per Business Quant, earlier years put Total Debt at $5.07 million in FY2025 and $147,000 in FY2022 (-31.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | - |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 5.22 Bn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 3.42 Bn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 19.85 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 8.76 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 13.00 Mn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 8.63 Bn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 1.44 Bn |
| 10 | Dna X | 6.47 Mn | 938,965.66 | - | 2.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.40 Mn |
| Mar 31, 2026 | 1.07 Mn |
| Dec 31, 2025 | 5.07 Mn |
| Sep 30, 2025 | 5.07 Mn |
| Jun 30, 2025 | 2.92 Mn |
| Mar 31, 2025 | 566,000.00 |
| Sep 30, 2023 | 37,000.00 |
| Jun 30, 2023 | 74,000.00 |
| Mar 31, 2023 | 110,000.00 |
| Dec 31, 2022 | 147,000.00 |
| Sep 30, 2022 | 184,000.00 |
| Jun 30, 2022 | 141,000.00 |
| Mar 31, 2022 | 178,000.00 |
| Dec 31, 2021 | 214,000.00 |
| Sep 30, 2021 | 251,000.00 |
| Jun 30, 2021 | 288,000.00 |
| Mar 31, 2021 | 325,000.00 |
| Dec 31, 2020 | 362,000.00 |
| Sep 30, 2020 | 399,000.00 |
| Jun 30, 2020 | 472,000.00 |
API Access
Dna X Total Debt 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=total-debt&ticker=SONM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=SONM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();