Quanterix (QTRX) Total Non-Current Liabilities (2017 - 2026)
Quanterix (QTRX) recorded Total Non-Current Liabilities of $78.59 million in Q2 2026, down 2.3% from $80.43 million a year earlier and down 2.2% from the prior quarter.
Quanterix (QTRX) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Quanterix reported Total Non-Current Liabilities of $114.94 million, up 51.8% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $75.7 million in FY2024 (-2.2%), $77.43 million in FY2023 (+4.4%), $74.18 million in FY2022 (+30.8%) and $56.7 million in FY2021 (-9.4%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- On a year-over-year basis, Total Non-Current Liabilities rose in five of the last eight quarters, with growth averaging 17.1%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 71.8% in Q3 2025, against a decline of 10.0% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $80.35 million (Q1 2026), $114.94 million (Q4 2025) and $122.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | - |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Quanterix | 131.60 Mn | -314.24 Mn | 12.67 Mn | 74.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.63 Mn |
| Mar 31, 2026 | 75.92 Mn |
| Dec 31, 2025 | 104.23 Mn |
| Sep 30, 2025 | 110.12 Mn |
| Jun 30, 2025 | 76.92 Mn |
| Mar 31, 2025 | 65.97 Mn |
| Dec 31, 2024 | 75.70 Mn |
| Sep 30, 2024 | 71.19 Mn |
| Jun 30, 2024 | 74.12 Mn |
| Mar 31, 2024 | 69.77 Mn |
| Dec 31, 2023 | 77.43 Mn |
| Sep 30, 2023 | 75.33 Mn |
| Jun 30, 2023 | 73.29 Mn |
| Mar 31, 2023 | 69.31 Mn |
| Dec 31, 2022 | 74.18 Mn |
| Sep 30, 2022 | 72.71 Mn |
| Jun 30, 2022 | 81.40 Mn |
| Mar 31, 2022 | 76.54 Mn |
| Dec 31, 2021 | 56.70 Mn |
| Mar 31, 2021 | 58.82 Mn |
Quanterix Total Non-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-non-current-liabilities&ticker=QTRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=QTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();