Quanterix (QTRX) Selling, General & Administrative (2017 - 2026)
Quanterix (QTRX) recorded Selling, General & Administrative of $27.35 million in Q2 2026, down 9.9% from $30.35 million a year earlier and down 8.1% from the prior quarter.
Quanterix (QTRX) Selling, General & Administrative (2017 - 2026) Analysis & Trends
On a TTM basis, Quanterix's Selling, General & Administrative came in at $131.32 million as of Jun 30, 2026, up 16.2% year-over-year; for FY2025, it came in at $138.01 million, up 35.8% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $101.62 million in FY2024 (+14.0%), $89.11 million in FY2023 (-3.0%), $91.85 million in FY2022 (-1.1%) and $92.91 million in FY2021 (+55.9%).
- The Q2 2026 figure is the lowest quarterly Selling, General & Administrative since Q3 2024.
- On a year-over-year basis, Selling, General & Administrative rose in five of the last eight quarters, with growth averaging 18.0%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 76.0% in Q3 2021, against a decline of 36.6% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $29.77 million (Q1 2026), $35.14 million (Q4 2025) and $39.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 561.20 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 1.26 Bn |
| 10 | Quanterix | 171.57 Mn | -274.26 Mn | 12.67 Mn | 27.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.35 Mn |
| Mar 31, 2026 | 29.77 Mn |
| Dec 31, 2025 | 35.14 Mn |
| Sep 30, 2025 | 39.06 Mn |
| Jun 30, 2025 | 30.35 Mn |
| Mar 31, 2025 | 31.17 Mn |
| Dec 31, 2024 | 28.59 Mn |
| Sep 30, 2024 | 22.91 Mn |
| Jun 30, 2024 | 24.08 Mn |
| Mar 31, 2024 | 26.04 Mn |
| Dec 31, 2023 | 23.44 Mn |
| Sep 30, 2023 | 23.55 Mn |
| Jun 30, 2023 | 21.31 Mn |
| Mar 31, 2023 | 20.78 Mn |
| Dec 31, 2022 | 18.39 Mn |
| Sep 30, 2022 | 20.48 Mn |
| Jun 30, 2022 | 27.82 Mn |
| Mar 31, 2022 | 25.17 Mn |
| Dec 31, 2021 | 29.00 Mn |
| Sep 30, 2021 | 23.67 Mn |
Quanterix Selling, General & Administrative 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=selling-general-and-administrative&ticker=QTRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=QTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();