Cellectis (CLLS) Return on Sales [ROS] (2015 - 2026)
Cellectis (CLLS) posted Return on Sales [ROS] of -449.82% for Q2 2026, down 392.50 percentage points from -57.32% a year earlier and down 14.18 percentage points from the prior quarter.
Cellectis (CLLS) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Cellectis was -98.48%, down 18.17 percentage points year-over-year; for FY2025, it was -45.34%, up 98.15 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +143.05 percentage points (FY2020 to FY2025).
- In prior years, Cellectis' Return on Sales [ROS] was -143.49% in FY2024 (+12744.20 pp), -12887.68% in FY2023 (-12419.97 pp), -467.72% in FY2022 (-126.72 pp) and -340.99% in FY2021 (-152.60 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q1 2024.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last three quarters, with an average year-over-year change of +2933.00 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2024, with a gain of 16395.39 percentage points; the weakest was Q3 2022, with a drop of 15120.56 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -435.64% (Q1 2026), -136.46% (Q4 2025) and 22.86% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Cellectis | 143.49 Mn | -609.91 Mn | - | -449.82% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -449.82% |
| Mar 31, 2026 | -435.64% |
| Dec 31, 2025 | -136.46% |
| Sep 30, 2025 | 22.86% |
| Jun 30, 2025 | -57.32% |
| Mar 31, 2025 | -133.07% |
| Dec 31, 2024 | -83.99% |
| Sep 30, 2024 | -66.48% |
| Jun 30, 2024 | -213.51% |
| Mar 31, 2024 | -461.44% |
| Dec 31, 2023 | -10,451.94% |
| Sep 30, 2023 | -13,336.13% |
| Jun 30, 2023 | -13,270.22% |
| Mar 31, 2023 | -16,856.83% |
| Dec 31, 2022 | -35.32% |
| Sep 30, 2022 | -15,630.29% |
| Jun 30, 2022 | -2,089.75% |
| Mar 31, 2022 | -1,755.44% |
| Dec 31, 2021 | -239.33% |
| Sep 30, 2021 | -509.72% |
Cellectis 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=CLLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CLLS", "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=CLLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();