Quanterix (QTRX) Other Operating Expenses (2017 - 2026)
Quanterix (QTRX) recorded Other Operating Expenses of $79,000 in Q2 2026, compared with -$4.27 million a year earlier.
Quanterix (QTRX) Other Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Quanterix's Other Operating Expenses came in at -$2.08 million as of Jun 30, 2026; for FY2025, it came in at -$4.55 million.
- Across earlier years, Other Operating Expenses came in at $1.41 million in FY2022.
- The Q2 2026 figure is the highest quarterly Other Operating Expenses since Q1 2025.
- Per Business Quant, the preceding three quarters came in at -$1.5 million (Q1 2026), -$595,000 (Q4 2025) and -$58,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 255.90 Bn | 234.93 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.61 Bn | 146.04 Bn | 7.27 Bn |
| 3 | Danaher | 165.56 Bn | 149.36 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 152.63 Bn | 132.05 Bn | 1.96 Bn |
| 5 | Medtronic | 120.14 Bn | 85.39 Bn | 6.34 Bn |
| 6 | Stryker | 116.23 Bn | 102.34 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.09 Bn | 60.85 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.91 Bn | 51.06 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.22 Bn | 35.22 Bn | 1.35 Bn |
| 10 | Quanterix | 129.95 Mn | -315.89 Mn | 12.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79,000.00 |
| Mar 31, 2026 | -1.50 Mn |
| Dec 31, 2025 | -595,000.00 |
| Sep 30, 2025 | -58,000.00 |
| Jun 30, 2025 | -4.27 Mn |
| Mar 31, 2025 | 379,000.00 |
| Dec 31, 2023 | 1.02 Mn |
| Sep 30, 2023 | 928,000.00 |
| Jun 30, 2023 | 968,000.00 |
| Mar 31, 2023 | 833,000.00 |
| Dec 31, 2022 | 802,000.00 |
| Sep 30, 2022 | 609,000.00 |
| Dec 31, 2017 | 3.71 Mn |
| Sep 30, 2017 | 3.17 Mn |
| Jun 30, 2017 | 3.03 Mn |
| Mar 31, 2017 | 2.98 Mn |
Quanterix Other 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=other-operating-expenses&ticker=QTRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=QTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();