Vericel (VCEL) Return on Sales [ROS] (2011 - 2026)
Vericel's Return on Sales [ROS] came in at 0.56% for Q2 2026, up 3.77 percentage points from -3.21% a year earlier and up 12.35 percentage points from the prior quarter.
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Analysis
Vericel (VCEL) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vericel reported Return on Sales [ROS] of 5.95%, up 5.47 percentage points year-over-year; for FY2025, it came in at 4.00%, up 2.09 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a five-year change of +2.09 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 1.90% in FY2024 (+5.18 pp), -3.27% in FY2023 (+7.11 pp), -10.38% in FY2022 (-5.35 pp) and -5.03% in FY2021 (-6.94 pp).
- The five-year range for quarterly Return on Sales [ROS] is -24.52% (Q2 2022) to 24.52% (Q4 2024).
- Year-over-year, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +3.95 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2026 (a gain of 12.54 percentage points), and the weakest in Q3 2021 (a drop of 25.28 percentage points).
- Business Quant data shows VCEL's Return on Sales [ROS] at -11.79% (Q1 2026), 24.12% (Q4 2025) and 5.11% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 28.37% |
| 10 | Vericel | 2.02 Bn | 1.44 Bn | 56.40 Mn | 0.56% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.56% |
| Mar 31, 2026 | -11.79% |
| Dec 31, 2025 | 24.12% |
| Sep 30, 2025 | 5.11% |
| Jun 30, 2025 | -3.21% |
| Mar 31, 2025 | -24.32% |
| Dec 31, 2024 | 24.52% |
| Sep 30, 2024 | -4.26% |
| Jun 30, 2024 | -11.45% |
| Mar 31, 2024 | -10.66% |
| Dec 31, 2023 | 19.59% |
| Sep 30, 2023 | -11.09% |
| Jun 30, 2023 | -12.98% |
| Mar 31, 2023 | -19.94% |
| Dec 31, 2022 | 11.55% |
| Sep 30, 2022 | -17.61% |
| Jun 30, 2022 | -24.52% |
| Mar 31, 2022 | -20.16% |
| Dec 31, 2021 | 8.70% |
| Sep 30, 2021 | -14.38% |
API Access
Vericel 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=VCEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VCEL", "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=VCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();