Quanterix (QTRX) Total Current Liabilities (2017 - 2026)
Quanterix (QTRX) reported Total Current Liabilities of $50.37 million for Q2 2026, up 4.5% from $48.2 million a year earlier and up 0.9% from the prior quarter.
Quanterix (QTRX) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Quanterix posted Total Current Liabilities of $74.76 million, up 78.0% from FY2024.
- Total Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $42.01 million in FY2024 (+7.8%), $38.98 million in FY2023 (+24.3%), $31.35 million in FY2022 (-15.2%) and $36.98 million in FY2021 (-7.1%).
- Five-year quarterly Total Current Liabilities spans a low of $27.48 million in Q1 2023 and a high of $77.35 million in Q3 2025.
- Year over year, Total Current Liabilities has now increased in each of the last 12 quarters, with growth averaging 34.7% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2025 (growth of 112.2%); the low point was Q4 2022 (a decline of 15.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $49.91 million (Q1 2026), $74.76 million (Q4 2025) and $77.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Quanterix | 165.92 Mn | -279.92 Mn | 12.67 Mn | 50.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.37 Mn |
| Mar 31, 2026 | 49.91 Mn |
| Dec 31, 2025 | 74.76 Mn |
| Sep 30, 2025 | 77.35 Mn |
| Jun 30, 2025 | 48.20 Mn |
| Mar 31, 2025 | 40.40 Mn |
| Dec 31, 2024 | 42.01 Mn |
| Sep 30, 2024 | 36.45 Mn |
| Jun 30, 2024 | 38.14 Mn |
| Mar 31, 2024 | 32.76 Mn |
| Dec 31, 2023 | 38.98 Mn |
| Sep 30, 2023 | 35.90 Mn |
| Jun 30, 2023 | 32.61 Mn |
| Mar 31, 2023 | 27.48 Mn |
| Dec 31, 2022 | 31.35 Mn |
| Sep 30, 2022 | 28.92 Mn |
| Jun 30, 2022 | 36.73 Mn |
| Mar 31, 2022 | 31.76 Mn |
| Dec 31, 2021 | 36.98 Mn |
| Sep 30, 2021 | 31.19 Mn |
Quanterix Total Current Liabilities 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=total-current-liabilities&ticker=QTRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=QTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();