Allurion Technologies (ALUR) Total Non-Current Liabilities (2022 - 2026)
Allurion Technologies (ALUR) recorded Total Non-Current Liabilities of $86.81 million in Q1 2026, down 12.3% from $98.94 million a year earlier and down 0.4% 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 $87.13 million, down 18.0% from FY2024.
- Annual Total Non-Current Liabilities has a three-year compound annual growth rate of 2.4% (FY2022 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $106.22 million in FY2024 (-10.8%), $119.02 million in FY2023 (+46.7%) and $81.13 million in FY2022.
- Quarterly Total Non-Current Liabilities has ranged from $81.13 million in Q4 2022 to $144.73 million in Q3 2023 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined for eight consecutive quarters, with an average decline of 14.7% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 46.7% in Q4 2023, against a decline of 27.0% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $87.13 million (Q4 2025), $95.35 million (Q3 2025) and $84.95 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Allurion Technologies | 15.74 Mn | -13.58 Mn | 1.23 Mn | 86.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 86.81 Mn |
| Dec 31, 2025 | 87.13 Mn |
| Sep 30, 2025 | 95.35 Mn |
| Jun 30, 2025 | 84.95 Mn |
| Mar 31, 2025 | 98.94 Mn |
| Dec 31, 2024 | 106.22 Mn |
| Sep 30, 2024 | 105.62 Mn |
| Jun 30, 2024 | 111.52 Mn |
| Mar 31, 2024 | 116.35 Mn |
| Dec 31, 2023 | 119.02 Mn |
| Sep 30, 2023 | 144.73 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();