10x Genomics (TXG) Other Operating Expenses (2018 - 2026)
10x Genomics (TXG) posted Other Operating Expenses of -$3.4 million for Q2 2026, compared with -$40.7 million a year earlier.
Analysis
10x Genomics (TXG) Other Operating Expenses (2018 - 2026) Analysis & Trends
For FY2025, 10x Genomics' Other Operating Expenses came in at -$49.9 million.
- In prior years, 10x Genomics' Other Operating Expenses was $60.98 million in FY2023 and -$660,000 in FY2021.
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | 10x Genomics | 11.77 Bn | 11.57 Bn | 112.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.40 Mn |
| Jun 30, 2025 | -40.70 Mn |
| Mar 31, 2025 | -9.20 Mn |
| Dec 31, 2023 | 19.58 Mn |
| Sep 30, 2023 | 41.40 Mn |
| Jun 30, 2021 | -850,000.00 |
| Mar 31, 2021 | 190,000.00 |
| Dec 31, 2020 | 407.23 Mn |
| Sep 30, 2020 | 40.97 Mn |
| Jun 30, 2020 | 322,000.00 |
| Mar 31, 2020 | 302,000.00 |
| Dec 31, 2019 | 142,000.00 |
| Jun 30, 2019 | 570,000.00 |
| Mar 31, 2019 | 790,000.00 |
| Dec 31, 2018 | 70.63 Mn |
| Sep 30, 2018 | 16.10 Mn |
API Access
10x Genomics Other Operating Expenses 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=other-operating-expenses&ticker=TXG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=TXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();