10x Genomics (TXG) Revenue (2018 - 2026)
10x Genomics (TXG) recorded Revenue of $151.04 million in Q2 2026, down 12.6% from $172.91 million a year earlier but up 0.1% from the prior quarter.
Powered by 
Analysis
10x Genomics (TXG) Revenue (2018 - 2026) Analysis & Trends
On a TTM basis, 10x Genomics' Revenue came in at $616.91 million as of Jun 30, 2026, down 4.3% year-over-year; for FY2025, it was $642.82 million, up 5.2% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $610.79 million in FY2024 (-1.3%), $618.73 million in FY2023 (+19.8%), $516.41 million in FY2022 (+5.3%) and $490.49 million in FY2021 (+64.1%).
- Quarterly Revenue has ranged from $114.5 million in Q1 2022 to $183.98 million in Q4 2023 over the past five years.
- On a year-over-year basis, Revenue rose in three of the last eight quarters, with an average decline of 0.7%.
- Peak year-over-year performance for Revenue in the last five years was growth of 74.5% in Q3 2021, against a decline of 12.6% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $150.84 million (Q1 2026), $166.03 million (Q4 2025) and $149 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.98 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.74 Bn |
| 10 | 10x Genomics | 11.53 Bn | 11.33 Bn | 112.50 Mn | 151.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 151.04 Mn |
| Mar 31, 2026 | 150.84 Mn |
| Dec 31, 2025 | 166.03 Mn |
| Sep 30, 2025 | 149.00 Mn |
| Jun 30, 2025 | 172.91 Mn |
| Mar 31, 2025 | 154.88 Mn |
| Dec 31, 2024 | 165.02 Mn |
| Sep 30, 2024 | 151.65 Mn |
| Jun 30, 2024 | 153.10 Mn |
| Mar 31, 2024 | 141.01 Mn |
| Dec 31, 2023 | 183.98 Mn |
| Sep 30, 2023 | 153.64 Mn |
| Jun 30, 2023 | 146.82 Mn |
| Mar 31, 2023 | 134.29 Mn |
| Dec 31, 2022 | 156.23 Mn |
| Sep 30, 2022 | 131.07 Mn |
| Jun 30, 2022 | 114.61 Mn |
| Mar 31, 2022 | 114.50 Mn |
| Dec 31, 2021 | 143.53 Mn |
| Sep 30, 2021 | 125.30 Mn |
API Access
10x Genomics 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=revenue&ticker=TXG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=TXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();