Quanterix (QTRX) Cash & Equivalents (2017 - 2026)
Quanterix's Cash & Equivalents came in at $44.17 million for Q2 2026, down 66.8% from $132.9 million a year earlier but up 22.1% from the prior quarter.
Quanterix (QTRX) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Quanterix's Cash & Equivalents was $29.84 million, down 47.4% from FY2024.
- Cash & Equivalents has declined in each of the last four years, with a five-year compound annual growth rate of -30.3% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $56.71 million in FY2024 (-67.5%), $174.42 million in FY2023 (-48.5%), $338.74 million in FY2022 (-14.6%) and $396.5 million in FY2021 (+118.4%).
- The five-year range for quarterly Cash & Equivalents is $29.34 million (Q3 2024) to $410.75 million (Q3 2021).
- Year-over-year, Cash & Equivalents has declined for three consecutive quarters, with an average decline of 4.7% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2025 (growth of 182.7%), and the weakest in Q1 2024 (a decline of 86.3%).
- Business Quant data shows QTRX's Cash & Equivalents at $36.18 million (Q1 2026), $29.84 million (Q4 2025) and $38.3 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Quanterix | 171.57 Mn | -274.26 Mn | 12.67 Mn | 44.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.17 Mn |
| Mar 31, 2026 | 36.18 Mn |
| Dec 31, 2025 | 29.84 Mn |
| Sep 30, 2025 | 38.30 Mn |
| Jun 30, 2025 | 132.90 Mn |
| Mar 31, 2025 | 76.51 Mn |
| Dec 31, 2024 | 56.71 Mn |
| Sep 30, 2024 | 29.34 Mn |
| Jun 30, 2024 | 47.00 Mn |
| Mar 31, 2024 | 45.28 Mn |
| Dec 31, 2023 | 174.42 Mn |
| Sep 30, 2023 | 201.26 Mn |
| Jun 30, 2023 | 329.53 Mn |
| Mar 31, 2023 | 329.35 Mn |
| Dec 31, 2022 | 338.74 Mn |
| Sep 30, 2022 | 343.74 Mn |
| Jun 30, 2022 | 361.55 Mn |
| Mar 31, 2022 | 374.54 Mn |
| Dec 31, 2021 | 396.50 Mn |
| Sep 30, 2021 | 410.75 Mn |
Quanterix Cash & Equivalents 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=cash-and-equivalents&ticker=QTRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=QTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();