Dna X (SONM) Total Non-Current Liabilities (2018 - 2026)
Dna X's Total Non-Current Liabilities was $5.42 million in Q1 2026, down 84.6% from $35.24 million a year earlier and down 89.5% from the prior quarter.
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Analysis
Dna X (SONM) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Dna X came in at $51.68 million, up 18.2% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 20.1% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $43.74 million in FY2024 (+36.1%), $32.15 million in FY2023 (-0.2%), $32.21 million in FY2022 (+53.0%) and $21.05 million in FY2021 (+1.9%).
- The Q1 2026 figure marks the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2018.
- Compared with a year earlier, Total Non-Current Liabilities was higher in five of the last eight quarters, with growth averaging 9.3%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2025 (growth of 68.0%); the worst was Q1 2026 (a decline of 84.6%).
- Per Business Quant data, SONM's Total Non-Current Liabilities in the three quarters before Q1 2026 was $51.68 million (Q4 2025), $39.11 million (Q3 2025) and $35.66 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 46.75 Bn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 468.26 Bn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 167.36 Bn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 24.02 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 15.10 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 224.85 Bn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 161.36 Bn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 4.94 Bn |
| 10 | Dna X | 6.47 Mn | 938,965.66 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.42 Mn |
| Dec 31, 2025 | 51.68 Mn |
| Sep 30, 2025 | 39.11 Mn |
| Jun 30, 2025 | 35.66 Mn |
| Mar 31, 2025 | 35.24 Mn |
| Dec 31, 2024 | 43.74 Mn |
| Sep 30, 2024 | 32.18 Mn |
| Jun 30, 2024 | 26.89 Mn |
| Mar 31, 2024 | 20.98 Mn |
| Dec 31, 2023 | 32.15 Mn |
| Sep 30, 2023 | 34.04 Mn |
| Jun 30, 2023 | 30.65 Mn |
| Mar 31, 2023 | 29.68 Mn |
| Dec 31, 2022 | 32.21 Mn |
| Sep 30, 2022 | 23.85 Mn |
| Jun 30, 2022 | 28.84 Mn |
| Mar 31, 2022 | 26.84 Mn |
| Dec 31, 2021 | 21.05 Mn |
| Sep 30, 2021 | 24.26 Mn |
| Jun 30, 2021 | 26.64 Mn |
API Access
Dna X Total Non-Current Liabilities 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-non-current-liabilities&ticker=SONM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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-non-current-liabilities&ticker=SONM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();