10x Genomics (TXG) Total Non-Current Liabilities (2018 - 2026)
10x Genomics (TXG) posted Total Non-Current Liabilities of $197.96 million for Q2 2026, down 1.3% from $200.57 million a year earlier but up 1.5% from the prior quarter.
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Analysis
10x Genomics (TXG) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, 10x Genomics' Total Non-Current Liabilities came in at $238.57 million, up 17.2% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- In prior years, 10x Genomics' Total Non-Current Liabilities was $203.47 million in FY2024 (-7.4%), $219.83 million in FY2023 (-0.2%), $220.26 million in FY2022 (+14.1%) and $193.02 million in FY2021 (+3.6%).
- Quarterly Total Non-Current Liabilities has run from a low of $181.92 million in Q3 2021 to a high of $238.57 million in Q4 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last eight quarters, with growth averaging 3.4%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2022, with growth of 18.0%; the weakest was Q3 2021, with a decline of 14.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $195.02 million (Q1 2026), $238.57 million (Q4 2025) and $235.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | - |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 2.57 Bn |
| 10 | 10x Genomics | 11.53 Bn | 11.33 Bn | 112.50 Mn | 197.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 197.96 Mn |
| Mar 31, 2026 | 195.02 Mn |
| Dec 31, 2025 | 238.57 Mn |
| Sep 30, 2025 | 235.85 Mn |
| Jun 30, 2025 | 200.57 Mn |
| Mar 31, 2025 | 191.10 Mn |
| Dec 31, 2024 | 203.47 Mn |
| Sep 30, 2024 | 210.05 Mn |
| Jun 30, 2024 | 201.04 Mn |
| Mar 31, 2024 | 199.57 Mn |
| Dec 31, 2023 | 219.83 Mn |
| Sep 30, 2023 | 193.19 Mn |
| Jun 30, 2023 | 188.42 Mn |
| Mar 31, 2023 | 204.85 Mn |
| Dec 31, 2022 | 220.26 Mn |
| Sep 30, 2022 | 214.69 Mn |
| Jun 30, 2022 | 208.95 Mn |
| Mar 31, 2022 | 187.98 Mn |
| Dec 31, 2021 | 193.02 Mn |
| Sep 30, 2021 | 181.92 Mn |
API Access
10x Genomics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=TXG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=TXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();