Cellectis (CLLS) Intangibles (2015 - 2025)
Cellectis' Intangibles was $535,000 in Q4 2025, down 52.1% from $1.12 million a year earlier.
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Analysis
Cellectis (CLLS) Intangibles (2015 - 2025) Analysis & Trends
From Q4 2015 onward, Cellectis has reported Intangibles for 11 quarters.
- Intangibles shows a five-year compound annual growth rate of -24.1% (FY2020 to FY2025).
- In earlier years, Intangibles was $1.12 million in FY2024, $686,000 in FY2022 (+174.4%) and $250,000 in FY2021 (-88.2%).
- The Q4 2025 figure marks the lowest quarterly Intangibles since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 48.23 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 49.14 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 24.98 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 42.07 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 37.72 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 20.49 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 14.03 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 47.05 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 412.80 Mn |
| 10 | Cellectis | 151.51 Mn | -601.88 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 535,000.00 |
| Jun 30, 2025 | 1.15 Mn |
| Dec 31, 2024 | 1.12 Mn |
| Dec 31, 2022 | 686,000.00 |
| Dec 31, 2021 | 250,000.00 |
| Dec 31, 2020 | 2.12 Mn |
| Dec 31, 2019 | 1.76 Mn |
| Dec 31, 2018 | 2.14 Mn |
| Dec 31, 2017 | 2.27 Mn |
| Dec 31, 2016 | 2.77 Mn |
| Dec 31, 2015 | 2.24 Mn |
API Access
Cellectis Intangibles 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=intangibles&ticker=CLLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=CLLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();