Quanterix (QTRX) Receivables (2017 - 2026)
Quanterix (QTRX) posted Receivables of $22.35 million for Q2 2026, down 5.1% from $23.55 million a year earlier and down 16.5% from the prior quarter.
Analysis
Quanterix (QTRX) Receivables (2017 - 2026) Analysis & Trends
At the end of FY2025, Quanterix's Receivables came in at $29.97 million, down 6.7% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- In prior years, Quanterix's Receivables was $32.14 million in FY2024 (+26.5%), $25.41 million in FY2023 (+33.0%), $19.11 million in FY2022 (-20.3%) and $23.99 million in FY2021 (+38.2%).
- The Q2 2026 figure stands as the lowest quarterly Receivables since Q4 2022.
- On a year-over-year basis, Receivables has declined in each of the last three quarters, with growth averaging 1.9% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q1 2022, with growth of 50.7%; the weakest was Q3 2021, with a decline of 29.4%.
- According to Business Quant data, Receivables for the three prior quarters was $26.78 million (Q1 2026), $29.97 million (Q4 2025) and $33.03 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 | Quanterix | 165.92 Mn | -279.92 Mn | 12.67 Mn | 22.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.35 Mn |
| Mar 31, 2026 | 26.78 Mn |
| Dec 31, 2025 | 29.97 Mn |
| Sep 30, 2025 | 33.03 Mn |
| Jun 30, 2025 | 23.55 Mn |
| Mar 31, 2025 | 28.26 Mn |
| Dec 31, 2024 | 32.14 Mn |
| Sep 30, 2024 | 31.09 Mn |
| Jun 30, 2024 | 31.78 Mn |
| Mar 31, 2024 | 29.28 Mn |
| Dec 31, 2023 | 25.41 Mn |
| Sep 30, 2023 | 24.08 Mn |
| Jun 30, 2023 | 24.37 Mn |
| Mar 31, 2023 | 22.65 Mn |
| Dec 31, 2022 | 19.11 Mn |
| Sep 30, 2022 | 18.53 Mn |
| Jun 30, 2022 | 19.68 Mn |
| Mar 31, 2022 | 22.72 Mn |
| Dec 31, 2021 | 23.99 Mn |
| Sep 30, 2021 | 18.60 Mn |
API Access
Quanterix 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=QTRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "QTRX", "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=QTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();