Dna X (SONM) Change in Accured Expenses (2018 - 2026)
Dna X (SONM) recorded Change in Accured Expenses of -$2.01 million in FY2026.
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Analysis
Dna X (SONM) Change in Accured Expenses (2018 - 2026) Analysis & Trends
Starting with FY2018, Dna X's Change in Accured Expenses history includes 9 years.
- The FY2026 figure is the lowest annual Change in Accured Expenses since FY2019.
- Per Business Quant data, SONM's Change in Accured Expenses was -$1.96 million in FY2025, $8 million in FY2024 (+487.9%), $1.36 million in FY2023 and -$369,000 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 67.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | -70.30 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | -77.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 36.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 364.00 Mn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | -55.70 Mn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 69.70 Mn |
| 10 | Dna X | 5.88 Mn | 343,658.67 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -1.29 Mn |
| Dec 31, 2025 | -1.93 Mn |
| Sep 30, 2025 | 1.41 Mn |
| Jun 30, 2025 | -1.22 Mn |
| Mar 31, 2025 | -218,000.00 |
| Dec 31, 2024 | -2.83 Mn |
| Sep 30, 2024 | 9.77 Mn |
| Jun 30, 2024 | 1.47 Mn |
| Mar 31, 2024 | -404,000.00 |
| Dec 31, 2023 | 1.61 Mn |
| Sep 30, 2023 | 1.12 Mn |
| Jun 30, 2023 | 769,000.00 |
| Mar 31, 2023 | -2.14 Mn |
| Dec 31, 2022 | 81,000.00 |
| Sep 30, 2022 | -1.28 Mn |
| Jun 30, 2022 | 519,000.00 |
| Mar 31, 2022 | 315,000.00 |
| Dec 31, 2021 | -331,000.00 |
| Sep 30, 2021 | 2.23 Mn |
| Jun 30, 2021 | 911,000.00 |
API Access
Dna X Change in Accured 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=change-in-accured-expenses&ticker=SONM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=SONM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();