10x Genomics (TXG) Accumulated Expenses (2018 - 2026)
10x Genomics' Accumulated Expenses was $30.38 million in Q2 2026, down 22.2% from $39.06 million a year earlier and down 9.8% from the prior quarter.
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Analysis
10x Genomics (TXG) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at 10x Genomics came in at $39.97 million, down 2.9% from FY2024.
- Accumulated Expenses has now declined for three consecutive years, with a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $41.17 million in FY2024 (-27.3%), $56.65 million in FY2023 (-5.2%), $59.78 million in FY2022 (+17.4%) and $50.91 million in FY2021 (+17.2%).
- The Q2 2026 figure marks the lowest quarterly Accumulated Expenses since Q2 2020.
- Compared with a year earlier, Accumulated Expenses has declined for five straight quarters, with an average decline of 10.0% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2022 (growth of 47.2%); the worst was Q3 2023 (a decline of 41.5%).
- Per Business Quant data, TXG's Accumulated Expenses in the three quarters before Q2 2026 was $33.68 million (Q1 2026), $39.97 million (Q4 2025) and $35.77 million (Q3 2025).
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 | 30.38 Mn |
| Mar 31, 2026 | 33.68 Mn |
| Dec 31, 2025 | 39.97 Mn |
| Sep 30, 2025 | 35.77 Mn |
| Jun 30, 2025 | 39.06 Mn |
| Mar 31, 2025 | 45.48 Mn |
| Dec 31, 2024 | 41.17 Mn |
| Sep 30, 2024 | 37.77 Mn |
| Jun 30, 2024 | 42.44 Mn |
| Mar 31, 2024 | 42.42 Mn |
| Dec 31, 2023 | 56.65 Mn |
| Sep 30, 2023 | 36.26 Mn |
| Jun 30, 2023 | 34.09 Mn |
| Mar 31, 2023 | 47.39 Mn |
| Dec 31, 2022 | 59.78 Mn |
| Sep 30, 2022 | 61.99 Mn |
| Jun 30, 2022 | 53.22 Mn |
| Mar 31, 2022 | 44.10 Mn |
| Dec 31, 2021 | 50.91 Mn |
| Sep 30, 2021 | 46.19 Mn |
API Access
10x Genomics Accumulated 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=accumulated-expenses&ticker=TXG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=TXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();