10x Genomics (TXG) Non Operating Income (2018 - 2026)
10x Genomics' Non Operating Income was $910,000 in Q2 2026, down 86.8% from $6.87 million a year earlier and down 78.3% from the prior quarter.
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Analysis
10x Genomics (TXG) Non Operating Income (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, 10x Genomics' Non Operating Income was $13.49 million through Jun 30, 2026, down 36.3% year-over-year; for FY2025, it was $21.08 million, up 25.0% from FY2024.
- Non Operating Income has now increased for three consecutive years.
- In earlier years, Non Operating Income was $16.86 million in FY2024 (+1.8%), $16.57 million in FY2023 (+177.3%), $5.97 million in FY2022 and -$1.46 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Non Operating Income since Q3 2022.
- Compared with a year earlier, Non Operating Income was higher in four of the last eight quarters, with growth averaging 24.2%.
- The best year-over-year quarter for Non Operating Income over five years was Q4 2025 (growth of 198.0%); the worst was Q2 2026 (a decline of 86.8%).
- Per Business Quant data, TXG's Non Operating Income in the three quarters before Q2 2026 was $4.2 million (Q1 2026), $4.35 million (Q4 2025) and $4.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (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 | 82.70 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 46.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 6.60 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | 10x Genomics | 11.77 Bn | 11.57 Bn | 112.50 Mn | 910,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 910,000.00 |
| Mar 31, 2026 | 4.20 Mn |
| Dec 31, 2025 | 4.35 Mn |
| Sep 30, 2025 | 4.04 Mn |
| Jun 30, 2025 | 6.87 Mn |
| Mar 31, 2025 | 5.82 Mn |
| Dec 31, 2024 | 1.46 Mn |
| Sep 30, 2024 | 7.05 Mn |
| Jun 30, 2024 | 4.66 Mn |
| Mar 31, 2024 | 3.70 Mn |
| Dec 31, 2023 | 8.59 Mn |
| Sep 30, 2023 | 3.05 Mn |
| Jun 30, 2023 | 2.59 Mn |
| Mar 31, 2023 | 2.33 Mn |
| Dec 31, 2022 | 6.69 Mn |
| Sep 30, 2022 | -39,000.00 |
| Jun 30, 2022 | -714,000.00 |
| Mar 31, 2022 | 41,000.00 |
| Dec 31, 2021 | -163,000.00 |
| Sep 30, 2021 | -769,000.00 |
API Access
10x Genomics Non Operating Income 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-operating-income&ticker=TXG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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-operating-income&ticker=TXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();