Allurion Technologies (ALUR) Total Non-Current Liabilities (2022 - 2026)
Allurion Technologies (ALUR) recorded Total Non-Current Liabilities of $86.51 million in Q1 2026, down 11.8% from $98.04 million a year earlier and down 0.2% from the prior quarter.
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Analysis
Allurion Technologies (ALUR) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Allurion Technologies reported Total Non-Current Liabilities of $86.72 million, down 17.5% from FY2024.
- Annual Total Non-Current Liabilities has a three-year compound annual growth rate of 2.2% (FY2022 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $105.12 million in FY2024 (+1.1%), $103.93 million in FY2023 (+28.1%) and $81.13 million in FY2022.
- Quarterly Total Non-Current Liabilities has ranged from $81.13 million in Q4 2022 to $126.34 million in Q3 2023 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined for five consecutive quarters, with an average decline of 10.7% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 28.1% in Q4 2023, against a decline of 23.7% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $86.72 million (Q4 2025), $94.44 million (Q3 2025) and $83.94 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | - |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Allurion Technologies | 299,889.71 | -29.03 Mn | 1.23 Mn | 86.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 86.51 Mn |
| Dec 31, 2025 | 86.72 Mn |
| Sep 30, 2025 | 94.44 Mn |
| Jun 30, 2025 | 83.94 Mn |
| Mar 31, 2025 | 98.04 Mn |
| Dec 31, 2024 | 105.12 Mn |
| Sep 30, 2024 | 96.39 Mn |
| Jun 30, 2024 | 105.30 Mn |
| Mar 31, 2024 | 103.23 Mn |
| Dec 31, 2023 | 103.93 Mn |
| Sep 30, 2023 | 126.34 Mn |
| Jun 30, 2023 | 112.49 Mn |
| Dec 31, 2022 | 81.13 Mn |
API Access
Allurion Technologies Total Non-Current 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-non-current-liabilities&ticker=ALUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ALUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();