Elutia (ELUT) Total Liabilities (2019 - 2026)
Elutia (ELUT) recorded Total Liabilities of $27.9 million in Q2 2026, down 63.1% from $75.69 million a year earlier and down 14.6% from the prior quarter.
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Analysis
Elutia (ELUT) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Elutia reported Total Liabilities of $34.68 million, down 57.9% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -11.0% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $82.39 million in FY2024 (+0.4%), $82.03 million in FY2023 (+11.0%), $73.87 million in FY2022 (+37.7%) and $53.65 million in FY2021 (-13.4%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities in data going back to Q4 2019.
- On a year-over-year basis, Total Liabilities has declined for six consecutive quarters, with an average decline of 28.7% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 42.7% in Q2 2024, against a decline of 63.1% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $32.68 million (Q1 2026), $34.68 million (Q4 2025) and $73.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 59.47 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 56.62 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 39.65 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 23.79 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 19.59 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 3.18 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Elutia | 37.59 Mn | -51.87 Mn | 1.45 Mn | 27.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.90 Mn |
| Mar 31, 2026 | 32.68 Mn |
| Dec 31, 2025 | 34.68 Mn |
| Sep 30, 2025 | 73.33 Mn |
| Jun 30, 2025 | 75.69 Mn |
| Mar 31, 2025 | 75.76 Mn |
| Dec 31, 2024 | 82.39 Mn |
| Sep 30, 2024 | 88.65 Mn |
| Jun 30, 2024 | 106.24 Mn |
| Mar 31, 2024 | 85.66 Mn |
| Dec 31, 2023 | 82.03 Mn |
| Sep 30, 2023 | 84.05 Mn |
| Jun 30, 2023 | 74.46 Mn |
| Mar 31, 2023 | 72.81 Mn |
| Dec 31, 2022 | 73.87 Mn |
| Sep 30, 2022 | 71.70 Mn |
| Jun 30, 2022 | 54.22 Mn |
| Mar 31, 2022 | 53.37 Mn |
| Dec 31, 2021 | 53.65 Mn |
| Sep 30, 2021 | 52.04 Mn |
API Access
Elutia 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=ELUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ELUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();