Elutia (ELUT) Non-Current Assets (2019 - 2026)
Elutia's Non-Current Assets was $6.43 million in Q2 2026, down 44.4% from $11.57 million a year earlier and down 2.8% from the prior quarter.
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Analysis
Elutia (ELUT) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Elutia came in at $6.53 million, down 34.4% from FY2024.
- Non-Current Assets has now declined for six consecutive years, with a five-year compound annual growth rate of -22.3% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $9.96 million in FY2024 (-18.2%), $12.18 million in FY2023 (-32.9%), $18.14 million in FY2022 (-8.1%) and $19.74 million in FY2021 (-14.5%).
- The Q2 2026 figure marks the lowest quarterly Non-Current Assets in data going back to Q4 2019.
- Compared with a year earlier, Non-Current Assets has declined for four straight quarters, with an average decline of 21.6% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q2 2025 (growth of 0.1%); the worst was Q2 2026 (a decline of 44.4%).
- Per Business Quant data, ELUT's Non-Current Assets in the three quarters before Q2 2026 was $6.62 million (Q1 2026), $6.53 million (Q4 2025) and $11.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.10 Bn | 237.13 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.02 Bn | 144.45 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 162.87 Bn | 146.68 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 150.08 Bn | 129.50 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 120.45 Bn | 85.70 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 113.84 Bn | 99.95 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 65.73 Bn | 60.49 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 53.43 Bn | 50.58 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.60 Bn | 34.60 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Elutia | 36.66 Mn | -52.79 Mn | 1.45 Mn | 6.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.43 Mn |
| Mar 31, 2026 | 6.62 Mn |
| Dec 31, 2025 | 6.53 Mn |
| Sep 30, 2025 | 11.03 Mn |
| Jun 30, 2025 | 11.57 Mn |
| Mar 31, 2025 | 9.28 Mn |
| Dec 31, 2024 | 9.96 Mn |
| Sep 30, 2024 | 11.09 Mn |
| Jun 30, 2024 | 11.55 Mn |
| Mar 31, 2024 | 11.38 Mn |
| Dec 31, 2023 | 12.18 Mn |
| Sep 30, 2023 | 15.45 Mn |
| Jun 30, 2023 | 16.20 Mn |
| Mar 31, 2023 | 17.16 Mn |
| Dec 31, 2022 | 18.14 Mn |
| Sep 30, 2022 | 17.37 Mn |
| Jun 30, 2022 | 18.17 Mn |
| Mar 31, 2022 | 18.85 Mn |
| Dec 31, 2021 | 19.74 Mn |
| Sep 30, 2021 | 20.65 Mn |
API Access
Elutia Non-Current Assets 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=non-current-assets&ticker=ELUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ELUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();