Allurion Technologies (ALUR) Total Liabilities (2022 - 2026)
Allurion Technologies (ALUR) posted Total Liabilities of $91.91 million for Q1 2026, down 15.1% from $108.2 million a year earlier and down 1.1% from the prior quarter.
Allurion Technologies (ALUR) Total Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Allurion Technologies' Total Liabilities came in at $92.96 million, down 16.1% from FY2024.
- Annual Total Liabilities shows a three-year compound annual growth rate of 3.6% (FY2022 to FY2025).
- In prior years, Allurion Technologies' Total Liabilities was $110.79 million in FY2024 (-22.5%), $143.01 million in FY2023 (+70.9%) and $83.68 million in FY2022.
- The Q1 2026 figure stands as the lowest quarterly Total Liabilities since Q4 2022.
- On a year-over-year basis, Total Liabilities has declined in each of the last eight quarters, with an average decline of 17.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2023, with growth of 70.9%; the weakest was Q3 2024, with a decline of 33.4%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $92.96 million (Q4 2025), $101.07 million (Q3 2025) and $92.15 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Allurion Technologies | 16.94 Mn | -12.38 Mn | 1.23 Mn | 91.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 91.91 Mn |
| Dec 31, 2025 | 92.96 Mn |
| Sep 30, 2025 | 101.07 Mn |
| Jun 30, 2025 | 92.15 Mn |
| Mar 31, 2025 | 108.20 Mn |
| Dec 31, 2024 | 110.79 Mn |
| Sep 30, 2024 | 115.49 Mn |
| Jun 30, 2024 | 117.13 Mn |
| Mar 31, 2024 | 126.15 Mn |
| Dec 31, 2023 | 143.01 Mn |
| Sep 30, 2023 | 173.44 Mn |
| Jun 30, 2023 | 123.37 Mn |
| Dec 31, 2022 | 83.68 Mn |
Allurion Technologies Total Liabilities 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=total-liabilities&ticker=ALUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ALUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();