Elutia (ELUT) Total Non-Current Liabilities (2019 - 2026)
Elutia (ELUT) recorded Total Non-Current Liabilities of $24.74 million in Q2 2026, down 62.9% from $66.73 million a year earlier and down 15.5% from the prior quarter.
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Analysis
Elutia (ELUT) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Elutia reported Total Non-Current Liabilities of $31.55 million, down 52.4% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -7.0% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $66.31 million in FY2024 (-4.3%), $69.27 million in FY2023 (+1.9%), $67.96 million in FY2022 (+83.1%) and $37.11 million in FY2021 (-18.2%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2019.
- On a year-over-year basis, Total Non-Current Liabilities has declined for ten consecutive quarters, with an average decline of 23.4% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 83.1% in Q4 2022, against a decline of 66.0% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $29.29 million (Q1 2026), $31.55 million (Q4 2025) and $69.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | - |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Elutia | 36.27 Mn | -53.18 Mn | 1.45 Mn | 24.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.74 Mn |
| Mar 31, 2026 | 27.42 Mn |
| Dec 31, 2025 | 28.73 Mn |
| Sep 30, 2025 | 65.39 Mn |
| Jun 30, 2025 | 62.03 Mn |
| Mar 31, 2025 | 58.93 Mn |
| Dec 31, 2024 | 60.82 Mn |
| Sep 30, 2024 | 62.32 Mn |
| Jun 30, 2024 | 58.68 Mn |
| Mar 31, 2024 | 57.81 Mn |
| Dec 31, 2023 | 63.39 Mn |
| Sep 30, 2023 | 70.55 Mn |
| Jun 30, 2023 | 68.51 Mn |
| Mar 31, 2023 | 66.85 Mn |
| Dec 31, 2022 | 67.83 Mn |
| Sep 30, 2022 | 60.17 Mn |
| Jun 30, 2022 | 41.86 Mn |
| Mar 31, 2022 | 36.08 Mn |
| Dec 31, 2021 | 36.41 Mn |
| Sep 30, 2021 | 35.49 Mn |
API Access
Elutia 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=ELUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ELUT", "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=ELUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();