10x Genomics (TXG) Capital Expenditures (2018 - 2026)
10x Genomics' Capital Expenditures was $1.59 million in Q2 2026, up 0.6% from $1.58 million a year earlier but down 0.6% from the prior quarter.
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Analysis
10x Genomics (TXG) Capital Expenditures (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, 10x Genomics' Capital Expenditures was $5.65 million through Jun 30, 2026, down 43.9% year-over-year; for FY2025, it came in at $5.94 million, down 52.1% from FY2024.
- Capital Expenditures has now declined for three consecutive years, with a five-year compound annual growth rate of -30.5% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $12.39 million in FY2024 (-74.5%), $48.6 million in FY2023 (-63.1%), $131.66 million in FY2022 (+30.0%) and $101.28 million in FY2021 (+176.2%).
- Quarterly Capital Expenditures has moved between $687,000 (Q3 2025) and $39.73 million (Q4 2022) over five years.
- Compared with a year earlier, Capital Expenditures was higher in 1 of the last eight quarters, with an average decline of 38.5%.
- The best year-over-year quarter for Capital Expenditures over five years was Q2 2022 (growth of 86.8%); the worst was Q4 2023 (a decline of 91.3%).
- Per Business Quant data, TXG's Capital Expenditures in the three quarters before Q2 2026 was $1.6 million (Q1 2026), $1.78 million (Q4 2025) and $687,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 143.00 Mn |
| 10 | 10x Genomics | 11.77 Bn | 11.57 Bn | 112.50 Mn | 1.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.59 Mn |
| Mar 31, 2026 | 1.60 Mn |
| Dec 31, 2025 | 1.78 Mn |
| Sep 30, 2025 | 687,000.00 |
| Jun 30, 2025 | 1.58 Mn |
| Mar 31, 2025 | 1.89 Mn |
| Dec 31, 2024 | 2.72 Mn |
| Sep 30, 2024 | 3.89 Mn |
| Jun 30, 2024 | 2.88 Mn |
| Mar 31, 2024 | 2.91 Mn |
| Dec 31, 2023 | 3.45 Mn |
| Sep 30, 2023 | 15.24 Mn |
| Jun 30, 2023 | 25.36 Mn |
| Mar 31, 2023 | 4.56 Mn |
| Dec 31, 2022 | 39.73 Mn |
| Sep 30, 2022 | 36.57 Mn |
| Jun 30, 2022 | 27.22 Mn |
| Mar 31, 2022 | 28.14 Mn |
| Dec 31, 2021 | 27.62 Mn |
| Sep 30, 2021 | 20.23 Mn |
API Access
10x Genomics Capital Expenditures 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=capital-expenditures&ticker=TXG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=TXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();