10x Genomics (TXG) Return on Capital Employed [ROCE] (2019 - 2026)
10x Genomics' Return on Capital Employed [ROCE] came in at -9.77% for Q2 2026, up 2.35 percentage points from -12.12% a year earlier but down 5.54 percentage points from the prior quarter.
10x Genomics (TXG) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, 10x Genomics' Return on Capital Employed [ROCE] was -7.38%, up 16.23 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +74.86 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -23.60% in FY2024 (+6.90 pp), -30.50% in FY2023 (-11.69 pp), -18.81% in FY2022 (-12.76 pp) and -6.05% in FY2021 (+76.19 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is -50.47% (Q3 2021) to -4.23% (Q1 2026).
- Year-over-year, Return on Capital Employed [ROCE] has increased for eight consecutive quarters, with an average year-over-year change of +11.42 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q4 2021 (a gain of 55.71 percentage points), and the weakest in Q3 2021 (a drop of 30.59 percentage points).
- Business Quant data shows TXG's Return on Capital Employed [ROCE] at -4.23% (Q1 2026), -6.92% (Q4 2025) and -10.66% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.00% |
| 10 | 10x Genomics | 12.18 Bn | 11.98 Bn | 112.50 Mn | -9.77% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9.77% |
| Mar 31, 2026 | -4.23% |
| Dec 31, 2025 | -6.92% |
| Sep 30, 2025 | -10.66% |
| Jun 30, 2025 | -12.12% |
| Mar 31, 2025 | -21.47% |
| Dec 31, 2024 | -24.00% |
| Sep 30, 2024 | -24.60% |
| Jun 30, 2024 | -31.06% |
| Mar 31, 2024 | -32.90% |
| Dec 31, 2023 | -31.98% |
| Sep 30, 2023 | -26.98% |
| Jun 30, 2023 | -19.74% |
| Mar 31, 2023 | -19.59% |
| Dec 31, 2022 | -19.05% |
| Sep 30, 2022 | -18.43% |
| Jun 30, 2022 | -15.44% |
| Mar 31, 2022 | -9.14% |
| Dec 31, 2021 | -5.84% |
| Sep 30, 2021 | -50.47% |
10x Genomics Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=TXG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=TXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();