10x Genomics (TXG) Operating Margin (2018 - 2026)
10x Genomics (TXG) reported Operating Margin of -12.95% for Q2 2026, down 30.37 percentage points from 17.42% a year earlier and down 1.65 percentage points from the prior quarter.
10x Genomics (TXG) Operating Margin (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, 10x Genomics' Operating Margin came in at -14.33%, up 1.27 percentage points year-over-year; for FY2025, it came in at -9.49%, up 22.37 percentage points from FY2024.
- Operating Margin has a five-year change of +169.25 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at -31.85% in FY2024 (+11.03 pp), -42.88% in FY2023 (-10.36 pp), -32.52% in FY2022 (-21.87 pp) and -10.65% in FY2021 (+168.08 pp).
- Five-year quarterly Operating Margin spans a low of -61.70% in Q3 2023 and a high of 17.42% in Q2 2025.
- Year over year, Operating Margin gained in six of the last eight quarters, with an average year-over-year change of +13.11 percentage points.
- The high point for year-over-year Operating Margin in five years was Q4 2021 (a gain of 353.96 percentage points); the low point was Q2 2022 (a drop of 46.16 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -11.30% (Q1 2026), -11.77% (Q4 2025) and -21.64% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 29.48% |
| 10 | 10x Genomics | 11.53 Bn | 11.33 Bn | 112.50 Mn | -12.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12.95% |
| Mar 31, 2026 | -11.30% |
| Dec 31, 2025 | -11.77% |
| Sep 30, 2025 | -21.64% |
| Jun 30, 2025 | 17.42% |
| Mar 31, 2025 | -25.39% |
| Dec 31, 2024 | -30.20% |
| Sep 30, 2024 | -27.36% |
| Jun 30, 2024 | -27.26% |
| Mar 31, 2024 | -43.61% |
| Dec 31, 2023 | -30.00% |
| Sep 30, 2023 | -61.70% |
| Jun 30, 2023 | -43.15% |
| Mar 31, 2023 | -38.71% |
| Dec 31, 2022 | -14.78% |
| Sep 30, 2022 | -30.51% |
| Jun 30, 2022 | -55.07% |
| Mar 31, 2022 | -36.45% |
| Dec 31, 2021 | -11.03% |
| Sep 30, 2021 | -12.67% |
10x Genomics Operating Margin 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=operating-margin&ticker=TXG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=TXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();