Cellectis (CLLS) Gross Margin (2018 - 2023)
Cellectis (CLLS) posted Gross Margin of 100.00% for FY2025, unchanged from 100.00% in FY2024.
Analysis
Cellectis (CLLS) Gross Margin (2018 - 2023) Analysis & Trends
Since FY2015, Cellectis has reported Gross Margin for 11 years.
- Annual Gross Margin shows a five-year change of +149.94 percentage points (FY2020 to FY2025).
- Business Quant data shows CLLS's Gross Margin at 100.00% in FY2024 (+97.62 pp), 2.38% in FY2023 (+1.57 pp), 0.82% in FY2022 (+9.29 pp) and -8.47% in FY2021 (+41.47 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 83.88% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 68.12% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 75.38% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 72.95% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 88.03% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 73.10% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 81.07% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 75.71% |
| 10 | Cellectis | 111.38 Mn | -642.02 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 40.99% |
| Sep 30, 2023 | -16.77% |
| Jun 30, 2023 | 69.10% |
| Mar 31, 2023 | -140.29% |
| Dec 31, 2022 | 0.26% |
| Sep 30, 2022 | -109.71% |
| Jun 30, 2022 | 74.83% |
| Mar 31, 2022 | 1.92% |
| Dec 31, 2021 | -0.59% |
| Sep 30, 2021 | -10.84% |
| Jun 30, 2021 | -5.17% |
| Mar 31, 2021 | -9.15% |
| Dec 31, 2020 | -36.60% |
| Sep 30, 2020 | -26.56% |
| Jun 30, 2020 | -100.93% |
| Mar 31, 2020 | 90.82% |
| Dec 31, 2019 | -27.79% |
| Sep 30, 2019 | 49.85% |
| Jun 30, 2019 | 29.25% |
| Mar 31, 2019 | 43.44% |
API Access
Cellectis Gross Margin 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=gross-margin&ticker=CLLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=CLLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();