Quanterix (QTRX) Total Liabilities (2017 - 2026)
Quanterix's Total Liabilities came in at $82.42 million for Q2 2026, down 0.9% from $83.15 million a year earlier and down 2.5% from the prior quarter.
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Analysis
Quanterix (QTRX) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Quanterix's Total Liabilities was $123.04 million, up 60.8% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $76.5 million in FY2024 (-2.7%), $78.61 million in FY2023 (+3.9%), $75.65 million in FY2022 (+28.8%) and $58.74 million in FY2021 (-9.9%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q1 2025.
- Year-over-year, Total Liabilities increased in five of the last eight quarters, with growth averaging 20.1%.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2025 (growth of 79.6%), and the weakest in Q2 2023 (a decline of 10.4%).
- Business Quant data shows QTRX's Total Liabilities at $84.53 million (Q1 2026), $123.04 million (Q4 2025) and $129.61 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Quanterix | 165.92 Mn | -279.92 Mn | 12.67 Mn | 82.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.42 Mn |
| Mar 31, 2026 | 84.53 Mn |
| Dec 31, 2025 | 123.04 Mn |
| Sep 30, 2025 | 129.61 Mn |
| Jun 30, 2025 | 83.15 Mn |
| Mar 31, 2025 | 80.12 Mn |
| Dec 31, 2024 | 76.50 Mn |
| Sep 30, 2024 | 72.14 Mn |
| Jun 30, 2024 | 75.14 Mn |
| Mar 31, 2024 | 70.83 Mn |
| Dec 31, 2023 | 78.61 Mn |
| Sep 30, 2023 | 76.43 Mn |
| Jun 30, 2023 | 74.52 Mn |
| Mar 31, 2023 | 70.53 Mn |
| Dec 31, 2022 | 75.65 Mn |
| Sep 30, 2022 | 74.28 Mn |
| Jun 30, 2022 | 83.21 Mn |
| Mar 31, 2022 | 78.23 Mn |
| Dec 31, 2021 | 58.74 Mn |
| Sep 30, 2021 | 55.33 Mn |
API Access
Quanterix Total 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-liabilities&ticker=QTRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=QTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();