Quanterix (QTRX) Revenue (2017 - 2026)
Quanterix (QTRX) recorded Revenue of $32.91 million in Q2 2026, up 34.4% from $24.48 million a year earlier but down 9.6% from the prior quarter.
Powered by 
Analysis
Quanterix (QTRX) Revenue (2017 - 2026) Analysis & Trends
On a TTM basis, Quanterix's Revenue came in at $153.41 million as of Jun 30, 2026, up 22.0% year-over-year; for FY2025, it came in at $138.9 million, up 1.1% from FY2024.
- Annual Revenue has increased for three straight years, with a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $137.42 million in FY2024 (+12.3%), $122.37 million in FY2023 (+16.0%), $105.52 million in FY2022 (-4.6%) and $110.56 million in FY2021 (+28.0%).
- Quarterly Revenue has ranged from $23.5 million in Q2 2022 to $43.86 million in Q4 2025 over the past five years.
- On a year-over-year basis, Revenue has increased for four consecutive quarters, with growth averaging 10.3% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 34.4% in Q2 2026, against a decline of 28.8% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $36.42 million (Q1 2026), $43.86 million (Q4 2025) and $40.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.74 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.98 Bn |
| 10 | Quanterix | 172.99 Mn | -272.85 Mn | 12.67 Mn | 32.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.91 Mn |
| Mar 31, 2026 | 36.42 Mn |
| Dec 31, 2025 | 43.86 Mn |
| Sep 30, 2025 | 40.23 Mn |
| Jun 30, 2025 | 24.48 Mn |
| Mar 31, 2025 | 30.33 Mn |
| Dec 31, 2024 | 35.16 Mn |
| Sep 30, 2024 | 35.81 Mn |
| Jun 30, 2024 | 34.38 Mn |
| Mar 31, 2024 | 32.07 Mn |
| Dec 31, 2023 | 31.55 Mn |
| Sep 30, 2023 | 31.56 Mn |
| Jun 30, 2023 | 30.80 Mn |
| Mar 31, 2023 | 28.46 Mn |
| Dec 31, 2022 | 25.82 Mn |
| Sep 30, 2022 | 26.65 Mn |
| Jun 30, 2022 | 23.50 Mn |
| Mar 31, 2022 | 29.55 Mn |
| Dec 31, 2021 | 30.29 Mn |
| Sep 30, 2021 | 27.69 Mn |
API Access
Quanterix Revenue 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=revenue&ticker=QTRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=QTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();