Allurion Technologies (ALUR) Net Long-Term Debt Issued (Repaid) (2022 - 2025)
Allurion Technologies (ALUR) recorded Net Long-Term Debt Issued (Repaid) of $49.1 million in FY2025, compared with $280,000 in FY2024.
Analysis
Allurion Technologies (ALUR) Net Long-Term Debt Issued (Repaid) (2022 - 2025) Analysis & Trends
Starting with FY2022, Allurion Technologies' Net Long-Term Debt Issued (Repaid) history includes 4 years.
- Annual Net Long-Term Debt Issued (Repaid) has a three-year compound annual growth rate of 16.6% (FY2022 to FY2025).
- Annual Net Long-Term Debt Issued (Repaid) has ranged from $280,000 in FY2024 to $75.23 million in FY2023 over the past five years.
- Per Business Quant data, ALUR's Net Long-Term Debt Issued (Repaid) was $280,000 in FY2024 (-99.6%), $75.23 million in FY2023 (+143.0%) and $30.95 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | -1.11 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | -1.33 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | - |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | -2.00 Bn |
| 10 | Allurion Technologies | 299,889.71 | -29.03 Mn | 1.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 49.10 Mn |
| Sep 30, 2023 | 56.18 Mn |
| Jun 30, 2023 | 5.95 Mn |
| Mar 31, 2023 | 13.60 Mn |
| Dec 31, 2022 | 14.93 Mn |
| Sep 30, 2022 | 9.95 Mn |
API Access
Allurion Technologies Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=ALUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=ALUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();