Elutia (ELUT) Return on Sales [ROS] (2019 - 2026)
Elutia (ELUT) recorded Return on Sales [ROS] of -327.85% in Q2 2026, down 23.34 percentage points from -304.51% a year earlier and down 124.00 percentage points from the prior quarter.
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Analysis
Elutia (ELUT) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
On a TTM basis, Elutia's Return on Sales [ROS] came in at -214.87% as of Jun 30, 2026, up 46.10 percentage points year-over-year; for FY2025, it was -218.91%, down 6.62 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -187.05 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -212.29% in FY2024 (-88.93 pp), -123.36% in FY2023 (+24.19 pp), -147.55% in FY2022 (-98.95 pp) and -48.60% in FY2021 (-16.74 pp).
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] in data going back to Q3 2019.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of -45.24 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 93.82 percentage points in Q3 2025, against a drop of 169.24 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -203.85% (Q1 2026), -200.58% (Q4 2025) and -156.73% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Elutia | 34.55 Mn | -54.91 Mn | 1.45 Mn | -327.85% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -327.85% |
| Mar 31, 2026 | -203.85% |
| Dec 31, 2025 | -200.58% |
| Sep 30, 2025 | -156.73% |
| Jun 30, 2025 | -304.51% |
| Mar 31, 2025 | -229.65% |
| Dec 31, 2024 | -264.84% |
| Sep 30, 2024 | -250.55% |
| Jun 30, 2024 | -135.27% |
| Mar 31, 2024 | -126.67% |
| Dec 31, 2023 | -144.82% |
| Sep 30, 2023 | -120.30% |
| Jun 30, 2023 | -99.34% |
| Mar 31, 2023 | -130.46% |
| Dec 31, 2022 | -144.63% |
| Sep 30, 2022 | -153.31% |
| Jun 30, 2022 | -64.74% |
| Mar 31, 2022 | -60.22% |
| Dec 31, 2021 | -71.47% |
| Sep 30, 2021 | -60.74% |
API Access
Elutia Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=ELUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=ELUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();