10x Genomics (TXG) Accounts Payables (2018 - 2026)
10x Genomics' Accounts Payables was $20.69 million in Q2 2026, up 29.8% from $15.94 million a year earlier and up 18.8% from the prior quarter.
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Analysis
10x Genomics (TXG) Accounts Payables (2018 - 2026) Analysis & Trends
At the end of FY2025, Accounts Payables at 10x Genomics came in at $12.73 million, down 1.4% from FY2024.
- Accounts Payables has now declined for three consecutive years, though with a five-year compound annual growth rate of 22.0% (FY2020 to FY2025).
- In earlier years, Accounts Payables was $12.91 million in FY2024 (-18.0%), $15.74 million in FY2023 (-27.1%), $21.6 million in FY2022 (+24.5%) and $17.35 million in FY2021 (+268.5%).
- The Q2 2026 figure marks the highest quarterly Accounts Payables since Q3 2024.
- Compared with a year earlier, Accounts Payables was higher in three of the last eight quarters, with growth averaging 2.1%.
- The best year-over-year quarter for Accounts Payables over five years was Q4 2021 (growth of 268.5%); the worst was Q1 2025 (a decline of 50.2%).
- Per Business Quant data, TXG's Accounts Payables in the three quarters before Q2 2026 was $17.43 million (Q1 2026), $12.73 million (Q4 2025) and $18.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 6.11 Bn |
| 10 | 10x Genomics | 11.73 Bn | 11.53 Bn | 112.50 Mn | 20.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.69 Mn |
| Mar 31, 2026 | 17.43 Mn |
| Dec 31, 2025 | 12.73 Mn |
| Sep 30, 2025 | 18.07 Mn |
| Jun 30, 2025 | 15.94 Mn |
| Mar 31, 2025 | 10.07 Mn |
| Dec 31, 2024 | 12.91 Mn |
| Sep 30, 2024 | 26.21 Mn |
| Jun 30, 2024 | 21.25 Mn |
| Mar 31, 2024 | 20.22 Mn |
| Dec 31, 2023 | 15.74 Mn |
| Sep 30, 2023 | 18.84 Mn |
| Jun 30, 2023 | 23.12 Mn |
| Mar 31, 2023 | 29.32 Mn |
| Dec 31, 2022 | 21.60 Mn |
| Sep 30, 2022 | 21.59 Mn |
| Jun 30, 2022 | 26.73 Mn |
| Mar 31, 2022 | 18.96 Mn |
| Dec 31, 2021 | 17.35 Mn |
| Sep 30, 2021 | 17.04 Mn |
API Access
10x Genomics Accounts Payables 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=accounts-payables&ticker=TXG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=TXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();