Quanterix (QTRX) Non-Current Assets (2017 - 2026)
Quanterix's Non-Current Assets was $148.58 million in Q2 2026, up 177.8% from $53.49 million a year earlier but down 17.9% from the prior quarter.
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Analysis
Quanterix (QTRX) Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Quanterix came in at $206.51 million, up 380.9% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 32.0% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $42.94 million in FY2024 (-7.6%), $46.47 million in FY2023 (-10.7%), $52.06 million in FY2022 (-1.0%) and $52.57 million in FY2021 (+2.2%).
- Quarterly Non-Current Assets has moved between $42.94 million (Q4 2024) and $210.86 million (Q3 2025) over five years.
- Compared with a year earlier, Non-Current Assets has increased for six straight quarters, with growth averaging 146.5% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q4 2025 (growth of 380.9%); the worst was Q2 2023 (a decline of 34.3%).
- Per Business Quant data, QTRX's Non-Current Assets in the three quarters before Q2 2026 was $180.95 million (Q1 2026), $206.51 million (Q4 2025) and $210.86 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Quanterix | 165.92 Mn | -279.92 Mn | 12.67 Mn | 148.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 148.58 Mn |
| Mar 31, 2026 | 180.95 Mn |
| Dec 31, 2025 | 206.51 Mn |
| Sep 30, 2025 | 210.86 Mn |
| Jun 30, 2025 | 53.49 Mn |
| Mar 31, 2025 | 61.51 Mn |
| Dec 31, 2024 | 42.94 Mn |
| Sep 30, 2024 | 44.07 Mn |
| Jun 30, 2024 | 45.42 Mn |
| Mar 31, 2024 | 44.85 Mn |
| Dec 31, 2023 | 46.47 Mn |
| Sep 30, 2023 | 47.36 Mn |
| Jun 30, 2023 | 49.14 Mn |
| Mar 31, 2023 | 50.25 Mn |
| Dec 31, 2022 | 52.06 Mn |
| Sep 30, 2022 | 59.38 Mn |
| Jun 30, 2022 | 74.78 Mn |
| Mar 31, 2022 | 71.22 Mn |
| Dec 31, 2021 | 52.57 Mn |
| Sep 30, 2021 | 51.41 Mn |
API Access
Quanterix Non-Current Assets 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=non-current-assets&ticker=QTRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=QTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();