Dna X (SONM) Non-Current Debt (2018 - 2025)
Dna X (SONM) reported Non-Current Debt of $250,000 for Q3 2025.
Analysis
Dna X (SONM) Non-Current Debt (2018 - 2025) Analysis & Trends
At the end of FY2021, Dna X posted Non-Current Debt of $66,000, down 64.3% from FY2020.
- Non-Current Debt has declined for three consecutive years, with a three-year compound annual growth rate of -82.9% (FY2018 to FY2021).
- By year, Non-Current Debt came in at $185,000 in FY2020 (-48.9%), $362,000 in FY2019 (-97.3%) and $13.21 million in FY2018.
- The Q3 2025 figure ranks as the lowest quarterly Non-Current Debt since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | - |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 401.00 Mn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 3.42 Bn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 18.63 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 8.49 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | - |
| 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 | 794.20 Mn |
| 10 | Dna X | 6.47 Mn | 938,965.66 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 250,000.00 |
| Mar 31, 2025 | 566,000.00 |
| Sep 30, 2022 | 37,000.00 |
| Mar 31, 2022 | 30,000.00 |
| Dec 31, 2021 | 66,000.00 |
| Sep 30, 2021 | 74,000.00 |
| Jun 30, 2021 | 111,000.00 |
| Mar 31, 2021 | 148,000.00 |
| Dec 31, 2020 | 185,000.00 |
| Sep 30, 2020 | 222,000.00 |
| Jun 30, 2020 | 325,000.00 |
| Mar 31, 2020 | 325,000.00 |
| Dec 31, 2019 | 362,000.00 |
| Sep 30, 2019 | 9.79 Mn |
| Jun 30, 2019 | 13.07 Mn |
| Mar 31, 2019 | 13.10 Mn |
| Dec 31, 2018 | 13.21 Mn |
API Access
Dna X Non-Current 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=non-current-debt&ticker=SONM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=SONM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();