Celularity (CELU) Return on Sales [ROS] (2020 - 2026)
Celularity's Return on Sales [ROS] came in at -78.00% for Q2 2026, up 198.57 percentage points from -276.57% a year earlier and up 185.47 percentage points from the prior quarter.
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Analysis
Celularity (CELU) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Celularity reported Return on Sales [ROS] of -264.27%, down 158.51 percentage points year-over-year; for FY2025, it came in at -230.92%, down 160.17 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +833.13 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -70.75% in FY2024 (+773.69 pp), -844.44% in FY2023 (-702.02 pp), -142.42% in FY2022 (+368.75 pp) and -511.17% in FY2021 (+552.88 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q4 2024.
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of +190.36 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2024 (a gain of 2497.66 percentage points), and the weakest in Q3 2023 (a drop of 2485.12 percentage points).
- Business Quant data shows CELU's Return on Sales [ROS] at -263.47% (Q1 2026), -537.48% (Q4 2025) and -244.13% (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 | 1,144.36 Bn | 1,112.95 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 635.36 Bn | 555.22 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 502.79 Bn | 475.90 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.08 Bn | 310.46 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 300.87 Bn | 264.86 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 264.31 Bn | 237.99 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 239.07 Bn | 194.47 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 194.50 Bn | 168.70 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.00 Bn | 117.64 Bn | 10.94 Bn | 28.37% |
| 10 | Celularity | 28.63 Mn | 21.39 Mn | 3.09 Mn | -78.00% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -78.00% |
| Mar 31, 2026 | -263.47% |
| Dec 31, 2025 | -537.48% |
| Sep 30, 2025 | -244.13% |
| Jun 30, 2025 | -276.57% |
| Mar 31, 2025 | -91.77% |
| Dec 31, 2024 | -51.18% |
| Sep 30, 2024 | -124.00% |
| Jun 30, 2024 | -84.01% |
| Mar 31, 2024 | -50.24% |
| Dec 31, 2023 | 109.93% |
| Sep 30, 2023 | -2,621.66% |
| Jun 30, 2023 | -1,445.75% |
| Mar 31, 2023 | -1,623.13% |
| Dec 31, 2022 | 423.47% |
| Sep 30, 2022 | -136.54% |
| Jun 30, 2022 | 110.57% |
| Mar 31, 2022 | -701.16% |
| Dec 31, 2021 | -307.89% |
| Sep 30, 2021 | 102.60% |
API Access
Celularity 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=CELU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CELU", "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=CELU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();