10x Genomics (TXG) Receivables (2018 - 2026)
10x Genomics (TXG) recorded Receivables of $50.63 million in Q2 2026, down 57.5% from $119.07 million a year earlier and down 9.8% from the prior quarter.
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Analysis
10x Genomics (TXG) Receivables (2018 - 2026) Analysis & Trends
At the end of FY2025, 10x Genomics reported Receivables of $82.49 million, down 6.8% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $88.47 million in FY2024 (-23.0%), $114.83 million in FY2023 (+10.2%), $104.21 million in FY2022 (+22.2%) and $85.25 million in FY2021 (+66.5%).
- The Q2 2026 figure is the lowest quarterly Receivables since Q3 2020.
- On a year-over-year basis, Receivables rose in three of the last eight quarters, with an average decline of 12.0%.
- Peak year-over-year performance for Receivables in the last five years was growth of 117.7% in Q3 2021, against a decline of 57.5% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $56.14 million (Q1 2026), $82.49 million (Q4 2025) and $96.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 955.70 Mn |
| 10 | 10x Genomics | 11.53 Bn | 11.33 Bn | 112.50 Mn | 50.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.63 Mn |
| Mar 31, 2026 | 56.14 Mn |
| Dec 31, 2025 | 82.49 Mn |
| Sep 30, 2025 | 96.59 Mn |
| Jun 30, 2025 | 119.07 Mn |
| Mar 31, 2025 | 52.55 Mn |
| Dec 31, 2024 | 88.47 Mn |
| Sep 30, 2024 | 83.53 Mn |
| Jun 30, 2024 | 91.18 Mn |
| Mar 31, 2024 | 91.31 Mn |
| Dec 31, 2023 | 114.83 Mn |
| Sep 30, 2023 | 103.85 Mn |
| Jun 30, 2023 | 87.69 Mn |
| Mar 31, 2023 | 77.94 Mn |
| Dec 31, 2022 | 104.21 Mn |
| Sep 30, 2022 | 83.55 Mn |
| Jun 30, 2022 | 76.20 Mn |
| Mar 31, 2022 | 76.53 Mn |
| Dec 31, 2021 | 85.25 Mn |
| Sep 30, 2021 | 78.43 Mn |
API Access
10x Genomics Receivables 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=receivables&ticker=TXG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=TXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();