Elutia (ELUT) Accumulated Expenses (2019 - 2026)
Elutia (ELUT) recorded Accumulated Expenses of $4.8 million in Q2 2026, down 23.9% from $6.3 million a year earlier and down 17.5% from the prior quarter.
Elutia (ELUT) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Elutia reported Accumulated Expenses of $4.35 million, down 38.7% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -7.2% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $7.1 million in FY2024 (-25.1%), $9.49 million in FY2023 (+7.4%), $8.83 million in FY2022 (+38.5%) and $6.38 million in FY2021 (+0.8%).
- Quarterly Accumulated Expenses has ranged from $4.35 million in Q4 2025 to $11.72 million in Q2 2023 over the past five years.
- On a year-over-year basis, Accumulated Expenses has declined for three consecutive quarters, with an average decline of 19.3% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 70.8% in Q3 2022, against a decline of 49.4% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.82 million (Q1 2026), $4.35 million (Q4 2025) and $7.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Elutia | 41.29 Mn | -72.54 Mn | 702,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.59 Mn |
| Jun 30, 2026 | 4.80 Mn |
| Mar 31, 2026 | 5.82 Mn |
| Dec 31, 2025 | 4.35 Mn |
| Sep 30, 2025 | 7.27 Mn |
| Jun 30, 2025 | 6.30 Mn |
| Mar 31, 2025 | 6.09 Mn |
| Dec 31, 2024 | 7.10 Mn |
| Sep 30, 2024 | 5.43 Mn |
| Jun 30, 2024 | 7.34 Mn |
| Mar 31, 2024 | 9.02 Mn |
| Dec 31, 2023 | 9.49 Mn |
| Sep 30, 2023 | 10.72 Mn |
| Jun 30, 2023 | 11.72 Mn |
| Mar 31, 2023 | 9.34 Mn |
| Dec 31, 2022 | 8.83 Mn |
| Sep 30, 2022 | 8.94 Mn |
| Jun 30, 2022 | 7.52 Mn |
| Mar 31, 2022 | 5.75 Mn |
| Dec 31, 2021 | 6.38 Mn |
Elutia Accumulated 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=accumulated-expenses&ticker=ELUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ELUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();