Celularity (CELU) Return on Sales [ROS] (2020 - 2026)
Celularity's Return on Sales [ROS] came in at -263.47% for Q1 2026, down 171.70 percentage points from -91.77% a year earlier but up 274.01 percentage points from the prior quarter.
Celularity (CELU) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Celularity reported Return on Sales [ROS] of -321.32%, down 239.96 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 five-year range for quarterly Return on Sales [ROS] is -2621.66% (Q3 2023) to 423.47% (Q4 2022).
- Year-over-year, Return on Sales [ROS] has declined for six consecutive quarters, with an average year-over-year change of +335.76 percentage points over the last eight quarters.
- 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 -537.48% (Q4 2025), -244.13% (Q3 2025) and -276.57% (Q2 2025) in the three quarters before Q1 2026.
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 | Celularity | 40.27 Mn | 32.74 Mn | 2.39 Mn | -263.47% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Jun 30, 2021 | -1,895.87% |
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_KEY
import 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();