10x Genomics (TXG) Receivables - Net (2018 - 2026)
10x Genomics (TXG) reported Receivables - Net of $47.55 million for Q2 2026, down 4.9% from $49.98 million a year earlier but up 21.8% from the prior quarter.
Powered by 
Analysis
10x Genomics (TXG) Receivables - Net (2018 - 2026) Analysis & Trends
At the end of FY2025, 10x Genomics posted Receivables - Net of $47.01 million, down 46.5% from FY2024.
- Receivables - Net has a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- By year, Receivables - Net came in at $87.86 million in FY2024 (-23.5%), $114.83 million in FY2023 (+10.2%), $104.21 million in FY2022 (+22.2%) and $85.25 million in FY2021 (+66.5%).
- Five-year quarterly Receivables - Net spans a low of $39.03 million in Q1 2026 and a high of $114.83 million in Q4 2023.
- Year over year, Receivables - Net has now declined in each of the last eight quarters, with an average decline of 31.9% over the last eight quarters.
- The high point for year-over-year Receivables - Net in five years was Q3 2021 (growth of 117.7%); the low point was Q3 2025 (a decline of 47.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $39.03 million (Q1 2026), $47.01 million (Q4 2025) and $43.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | 10x Genomics | 11.53 Bn | 11.33 Bn | 112.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.55 Mn |
| Mar 31, 2026 | 39.03 Mn |
| Dec 31, 2025 | 47.01 Mn |
| Sep 30, 2025 | 43.78 Mn |
| Jun 30, 2025 | 49.98 Mn |
| Mar 31, 2025 | 52.55 Mn |
| Dec 31, 2024 | 87.86 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 - Net 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-net&ticker=TXG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=TXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();