10x Genomics (TXG) Non-Current Assets (2018 - 2026)
10x Genomics (TXG) reported Non-Current Assets of $355.4 million for Q2 2026, up 9.6% from $324.31 million a year earlier and up 2.7% from the prior quarter.
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Analysis
10x Genomics (TXG) Non-Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, 10x Genomics posted Non-Current Assets of $356.91 million, up 6.8% from FY2024.
- Non-Current Assets has a five-year compound annual growth rate of 18.2% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $334.25 million in FY2024 (-9.4%), $369.12 million in FY2023 (-6.3%), $393.95 million in FY2022 (+45.2%) and $271.24 million in FY2021 (+75.0%).
- Five-year quarterly Non-Current Assets spans a low of $246.47 million in Q3 2021 and a high of $412.14 million in Q1 2023.
- Year over year, Non-Current Assets has now increased in each of the last four quarters, with an average decline of 0.8% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q4 2021 (growth of 75.0%); the low point was Q2 2024 (a decline of 13.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $346.03 million (Q1 2026), $356.91 million (Q4 2025) and $367.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.05 Bn |
| 10 | 10x Genomics | 11.53 Bn | 11.33 Bn | 112.50 Mn | 355.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 355.40 Mn |
| Mar 31, 2026 | 346.03 Mn |
| Dec 31, 2025 | 356.91 Mn |
| Sep 30, 2025 | 367.53 Mn |
| Jun 30, 2025 | 324.31 Mn |
| Mar 31, 2025 | 323.66 Mn |
| Dec 31, 2024 | 334.25 Mn |
| Sep 30, 2024 | 343.90 Mn |
| Jun 30, 2024 | 350.51 Mn |
| Mar 31, 2024 | 355.82 Mn |
| Dec 31, 2023 | 369.12 Mn |
| Sep 30, 2023 | 386.19 Mn |
| Jun 30, 2023 | 406.70 Mn |
| Mar 31, 2023 | 412.14 Mn |
| Dec 31, 2022 | 393.95 Mn |
| Sep 30, 2022 | 366.79 Mn |
| Jun 30, 2022 | 335.36 Mn |
| Mar 31, 2022 | 305.92 Mn |
| Dec 31, 2021 | 271.24 Mn |
| Sep 30, 2021 | 246.47 Mn |
API Access
10x Genomics Non-Current Assets 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=non-current-assets&ticker=TXG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=TXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();