Quanterix (QTRX) Operating Expenses (2017 - 2026)
Quanterix's Operating Expenses was $62.11 million in Q2 2026, up 31.9% from $47.1 million a year earlier and up 9.1% from the prior quarter.
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Analysis
Quanterix (QTRX) Operating Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Quanterix's Operating Expenses was $218.35 million through Jun 30, 2026, up 39.0% year-over-year; for FY2025, it was $190.5 million, up 40.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 19.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $135.72 million in FY2024 (+12.9%), $120.22 million in FY2023 (-19.7%), $149.63 million in FY2022 (+23.4%) and $121.29 million in FY2021 (+52.1%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2017.
- Compared with a year earlier, Operating Expenses has increased for seven straight quarters, with growth averaging 29.7% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2025 (growth of 70.9%); the worst was Q3 2023 (a decline of 33.2%).
- Per Business Quant data, QTRX's Operating Expenses in the three quarters before Q2 2026 was $56.93 million (Q1 2026), $44.79 million (Q4 2025) and $54.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Quanterix | 165.92 Mn | -279.92 Mn | 12.67 Mn | 62.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.11 Mn |
| Mar 31, 2026 | 56.93 Mn |
| Dec 31, 2025 | 44.79 Mn |
| Sep 30, 2025 | 54.53 Mn |
| Jun 30, 2025 | 47.10 Mn |
| Mar 31, 2025 | 41.20 Mn |
| Dec 31, 2024 | 36.94 Mn |
| Sep 30, 2024 | 31.90 Mn |
| Jun 30, 2024 | 33.18 Mn |
| Mar 31, 2024 | 33.71 Mn |
| Dec 31, 2023 | 33.02 Mn |
| Sep 30, 2023 | 32.22 Mn |
| Jun 30, 2023 | 28.40 Mn |
| Mar 31, 2023 | 26.57 Mn |
| Dec 31, 2022 | 34.04 Mn |
| Sep 30, 2022 | 48.26 Mn |
| Jun 30, 2022 | 35.28 Mn |
| Mar 31, 2022 | 32.05 Mn |
| Dec 31, 2021 | 37.14 Mn |
| Sep 30, 2021 | 30.48 Mn |
API Access
Quanterix Operating Expenses 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=operating-expenses&ticker=QTRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=QTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();