Allurion Technologies (ALUR) Operating Expenses (2022 - 2026)
Allurion Technologies' Operating Expenses came in at $4.96 million for Q1 2026, down 56.7% from $11.44 million a year earlier and down 37.2% from the prior quarter.
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Analysis
Allurion Technologies (ALUR) Operating Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Allurion Technologies reported Operating Expenses of $33.25 million, down 48.8% year-over-year; for FY2025, it came in at $39.73 million, down 44.6% from FY2024.
- Operating Expenses carries a three-year compound annual growth rate of -21.7% (FY2022 to FY2025).
- Going back by year, Operating Expenses was $71.7 million in FY2024 (-40.5%), $120.58 million in FY2023 (+45.7%) and $82.74 million in FY2022.
- The Q1 2026 figure represents the lowest quarterly Operating Expenses in data going back to Q2 2022.
- Year-over-year, Operating Expenses has declined for nine consecutive quarters, with an average decline of 44.1% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2023 (growth of 63.3%), and the weakest in Q3 2024 (a decline of 61.5%).
- Business Quant data shows ALUR's Operating Expenses at $7.9 million (Q4 2025), $10.93 million (Q3 2025) and $9.45 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Allurion Technologies | 15.74 Mn | -13.58 Mn | 1.23 Mn | 4.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.96 Mn |
| Dec 31, 2025 | 7.90 Mn |
| Sep 30, 2025 | 10.93 Mn |
| Jun 30, 2025 | 9.45 Mn |
| Mar 31, 2025 | 11.44 Mn |
| Dec 31, 2024 | 19.65 Mn |
| Sep 30, 2024 | 15.45 Mn |
| Jun 30, 2024 | 18.34 Mn |
| Mar 31, 2024 | 18.26 Mn |
| Dec 31, 2023 | 32.17 Mn |
| Sep 30, 2023 | 40.12 Mn |
| Jun 30, 2023 | 23.26 Mn |
| Mar 31, 2023 | 25.02 Mn |
| Dec 31, 2022 | 25.39 Mn |
| Sep 30, 2022 | 24.58 Mn |
| Jun 30, 2022 | 17.05 Mn |
API Access
Allurion Technologies 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=ALUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ALUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();