Elutia (ELUT) Non Operating Interest Expenses (2019 - 2025)
Elutia's Non Operating Interest Expenses was $265,000 in Q3 2025, up 102.3% from $131,000 a year earlier but down 48.8% from the prior quarter.
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Analysis
Elutia (ELUT) Non Operating Interest Expenses (2019 - 2025) Analysis & Trends
On a trailing twelve-month basis, Elutia's Non Operating Interest Expenses was $5.85 million through Sep 30, 2025, up 38.6% year-over-year; for FY2024, it was $4.78 million, down 17.5% from FY2023.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of -2.3% (FY2019 to FY2024).
- In earlier years, Non Operating Interest Expenses was $5.8 million in FY2023 (+13.2%), $5.12 million in FY2022 (-3.9%), $5.32 million in FY2021 (-5.5%) and $5.63 million in FY2020 (+4.7%).
- Quarterly Non Operating Interest Expenses has moved between $131,000 (Q3 2024) and $3.98 million (Q4 2024) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in three of the last eight quarters, with growth averaging 10.5%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2024 (growth of 163.6%); the worst was Q3 2024 (a decline of 91.0%).
- Per Business Quant data, ELUT's Non Operating Interest Expenses in the three quarters before Q3 2025 was $518,000 (Q2 2025), $1.09 million (Q1 2025) and $3.98 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Elutia | 34.99 Mn | -54.47 Mn | 1.45 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 265,000.00 |
| Jun 30, 2025 | 518,000.00 |
| Mar 31, 2025 | 1.09 Mn |
| Dec 31, 2024 | 3.98 Mn |
| Sep 30, 2024 | 131,000.00 |
| Jun 30, 2024 | 1.27 Mn |
| Mar 31, 2024 | 1.31 Mn |
| Dec 31, 2023 | 1.51 Mn |
| Sep 30, 2023 | 1.45 Mn |
| Jun 30, 2023 | 1.41 Mn |
| Mar 31, 2023 | 1.43 Mn |
| Dec 31, 2022 | 1.45 Mn |
| Sep 30, 2022 | 1.25 Mn |
| Jun 30, 2022 | 1.20 Mn |
| Mar 31, 2022 | 1.22 Mn |
| Dec 31, 2021 | 1.29 Mn |
| Sep 30, 2021 | 1.33 Mn |
| Jun 30, 2021 | 1.35 Mn |
| Mar 31, 2021 | 1.36 Mn |
| Dec 31, 2020 | 1.39 Mn |
API Access
Elutia Non Operating Interest Expenses 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-operating-interest-expenses&ticker=ELUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=ELUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();