10x Genomics (TXG) Cost of Revenue (2018 - 2026)
10x Genomics (TXG) reported Cost of Revenue of $38.54 million for Q2 2026, down 19.4% from $47.82 million a year earlier and down 13.7% from the prior quarter.
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Analysis
10x Genomics (TXG) Cost of Revenue (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, 10x Genomics' Cost of Revenue came in at $184.88 million, down 6.0% year-over-year; for FY2025, it came in at $198.94 million, up 1.3% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 27.8% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $196.3 million in FY2024 (-6.3%), $209.41 million in FY2023 (+74.0%), $120.39 million in FY2022 (+62.5%) and $74.09 million in FY2021 (+26.7%).
- The Q2 2026 figure ranks as the lowest quarterly Cost of Revenue since Q1 2023.
- Year over year, Cost of Revenue has now declined in each of the last three quarters, with an average decline of 8.2% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q2 2022 (growth of 463.7%); the low point was Q3 2024 (a decline of 22.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $44.67 million (Q1 2026), $52.99 million (Q4 2025) and $48.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | 2.67 Bn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | 392.40 Mn |
| 10 | 10x Genomics | 9.07 Bn | 8.87 Bn | 112.50 Mn | 38.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.54 Mn |
| Mar 31, 2026 | 44.67 Mn |
| Dec 31, 2025 | 52.99 Mn |
| Sep 30, 2025 | 48.70 Mn |
| Jun 30, 2025 | 47.82 Mn |
| Mar 31, 2025 | 49.44 Mn |
| Dec 31, 2024 | 54.07 Mn |
| Sep 30, 2024 | 45.26 Mn |
| Jun 30, 2024 | 48.88 Mn |
| Mar 31, 2024 | 48.09 Mn |
| Dec 31, 2023 | 68.20 Mn |
| Sep 30, 2023 | 58.12 Mn |
| Jun 30, 2023 | 47.21 Mn |
| Mar 31, 2023 | 35.90 Mn |
| Dec 31, 2022 | 36.83 Mn |
| Sep 30, 2022 | 30.38 Mn |
| Jun 30, 2022 | 27.70 Mn |
| Mar 31, 2022 | 25.48 Mn |
| Dec 31, 2021 | 27.60 Mn |
| Sep 30, 2021 | 24.52 Mn |
API Access
10x Genomics 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=TXG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "TXG", "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=TXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();