Dna X (SONM) Cost of Revenue (2018 - 2025)
Dna X (SONM) posted Cost of Revenue of $14.4 million for Q3 2025, up 33.4% from $10.79 million a year earlier and up 39.2% from the prior quarter.
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Analysis
Dna X (SONM) Cost of Revenue (2018 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Cost of Revenue at Dna X was $48.28 million, up 16.3% year-over-year; for FY2024, it was $48.38 million, down 34.9% from FY2023.
- Annual Cost of Revenue shows a five-year compound annual growth rate of -10.0% (FY2019 to FY2024).
- In prior years, Dna X's Cost of Revenue was $74.31 million in FY2023 (+27.7%), $58.21 million in FY2022 (+20.9%), $48.16 million in FY2021 (-1.3%) and $48.78 million in FY2020 (-40.3%).
- Quarterly Cost of Revenue has run from a low of $8.31 million in Q4 2023 to a high of $22.41 million in Q2 2023 over five years.
- On a year-over-year basis, Cost of Revenue increased in three of the last eight quarters, with an average decline of 13.8%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q2 2023, with growth of 146.0%; the weakest was Q2 2024, with a decline of 61.9%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $10.35 million (Q2 2025), $8.37 million (Q1 2025) and $15.17 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | - |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | - |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | - |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 1.03 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | - |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 711.20 Mn |
| 10 | Dna X | 5.88 Mn | 343,658.67 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 14.40 Mn |
| Jun 30, 2025 | 10.35 Mn |
| Mar 31, 2025 | 8.37 Mn |
| Dec 31, 2024 | 15.17 Mn |
| Sep 30, 2024 | 10.79 Mn |
| Jun 30, 2024 | 8.55 Mn |
| Mar 31, 2024 | 13.87 Mn |
| Dec 31, 2023 | 8.31 Mn |
| Sep 30, 2023 | 21.96 Mn |
| Jun 30, 2023 | 22.41 Mn |
| Mar 31, 2023 | 21.63 Mn |
| Dec 31, 2022 | 20.19 Mn |
| Sep 30, 2022 | 17.18 Mn |
| Jun 30, 2022 | 9.11 Mn |
| Mar 31, 2022 | 11.73 Mn |
| Dec 31, 2021 | 16.42 Mn |
| Sep 30, 2021 | 12.66 Mn |
| Jun 30, 2021 | 9.30 Mn |
| Mar 31, 2021 | 9.78 Mn |
| Dec 31, 2020 | 12.11 Mn |
API Access
Dna X Cost of Revenue 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=cost-of-revenue&ticker=SONM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SONM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();