Allurion Technologies (ALUR) Selling, General & Administrative (2022 - 2026)
Allurion Technologies (ALUR) recorded Selling, General & Administrative of $2.74 million in Q1 2026, down 47.2% from $5.2 million a year earlier and down 46.5% from the prior quarter.
Allurion Technologies (ALUR) Selling, General & Administrative (2022 - 2026) Analysis & Trends
On a TTM basis, Allurion Technologies' Selling, General & Administrative came in at $18.9 million as of Mar 31, 2026, down 30.5% year-over-year; for FY2025, it was $21.35 million, down 24.8% from FY2024.
- Annual Selling, General & Administrative has a three-year compound annual growth rate of 11.6% (FY2022 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $28.4 million in FY2024 (-38.3%), $46.02 million in FY2023 (+199.5%) and $15.37 million in FY2022.
- The Q1 2026 figure is the lowest quarterly Selling, General & Administrative in data going back to Q2 2022.
- On a year-over-year basis, Selling, General & Administrative has declined for seven consecutive quarters, with an average decline of 30.5% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 395.9% in Q3 2023, against a decline of 62.8% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.13 million (Q4 2025), $5.79 million (Q3 2025) and $5.24 million (Q2 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 | Allurion Technologies | 6.45 Mn | -22.88 Mn | 1.23 Mn | 2.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.74 Mn |
| Dec 31, 2025 | 5.13 Mn |
| Sep 30, 2025 | 5.79 Mn |
| Jun 30, 2025 | 5.24 Mn |
| Mar 31, 2025 | 5.20 Mn |
| Dec 31, 2024 | 7.65 Mn |
| Sep 30, 2024 | 7.04 Mn |
| Jun 30, 2024 | 7.31 Mn |
| Mar 31, 2024 | 6.39 Mn |
| Dec 31, 2023 | 15.37 Mn |
| Sep 30, 2023 | 18.94 Mn |
| Jun 30, 2023 | 6.41 Mn |
| Mar 31, 2023 | 5.31 Mn |
| Dec 31, 2022 | 4.72 Mn |
| Sep 30, 2022 | 3.82 Mn |
| Jun 30, 2022 | 3.05 Mn |
Allurion Technologies 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=ALUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "ALUR", "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=ALUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();