Quanterix (QTRX) Long-Term Debt Repayments (2017 - 2026)
Quanterix's Long-Term Debt Repayments was $88,000 in Q2 2026, up 6.0% from the prior quarter.
Quanterix (QTRX) Long-Term Debt Repayments (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Quanterix's Long-Term Debt Repayments was $277,000 through Jun 30, 2026, down 86.1% year-over-year; for FY2021, it came in at $7.74 million.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 23.5% (FY2016 to FY2021).
- In earlier years, Long-Term Debt Repayments was $75,000 in FY2020 (+50.0%), $50,000 in FY2019 (-97.4%), $1.93 million in FY2018 (+109.4%) and $921,000 in FY2017 (-65.9%).
- Quarterly Long-Term Debt Repayments has moved between $83,000 (Q1 2026) and $1.99 million (Q4 2021) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | - |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Quanterix | 131.60 Mn | -314.24 Mn | 12.67 Mn | 88,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88,000.00 |
| Mar 31, 2026 | 83,000.00 |
| Sep 30, 2025 | 106,000.00 |
| Dec 31, 2021 | 1.99 Mn |
| Mar 31, 2020 | 75,000.00 |
| Dec 31, 2018 | -1,000.00 |
| Sep 30, 2018 | 55,000.00 |
| Jun 30, 2018 | 903,000.00 |
| Mar 31, 2018 | 972,000.00 |
| Mar 31, 2017 | 921,000.00 |
Quanterix Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=QTRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=QTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();