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 | 258.31 Bn | 237.34 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 173.24 Bn | 143.67 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 163.70 Bn | 147.51 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 152.89 Bn | 132.31 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 118.89 Bn | 84.14 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 113.70 Bn | 99.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 65.15 Bn | 59.92 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 53.35 Bn | 50.50 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.80 Bn | 34.81 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Elutia | 37.38 Mn | -52.07 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();