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 | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 85.78% |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 68.19% |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 74.74% |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 73.54% |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 78.02% |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 83.60% |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 72.04% |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 79.76% |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 72.78% |
| 10 | Cellectis | 98.28 Mn | -655.11 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 221.55% |
| Sep 30, 2023 | -136.77% |
| 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();