Cellectis (CLLS) Accumulated Expenses (2016 - 2024)
Cellectis' Accumulated Expenses was $8.83 million in Q4 2024, down 5.7% from $9.37 million a year earlier.
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Analysis
Cellectis (CLLS) Accumulated Expenses (2016 - 2024) Analysis & Trends
From Q4 2016 onward, Cellectis has reported Accumulated Expenses for 9 quarters.
- Accumulated Expenses shows a three-year compound annual growth rate of 196.4% (FY2021 to FY2024).
- In earlier years, Accumulated Expenses was $9.37 million in FY2023 (-0.6%), $9.42 million in FY2022 and $339,000 in FY2021.
- Quarterly Accumulated Expenses has moved between $339,000 (Q4 2021) and $9.42 million (Q4 2022) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Cellectis | 151.51 Mn | -601.88 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 8.83 Mn |
| Jun 30, 2024 | 6.97 Mn |
| Dec 31, 2023 | 9.37 Mn |
| Dec 31, 2022 | 9.42 Mn |
| Mar 31, 2022 | 379,000.00 |
| Dec 31, 2021 | 339,000.00 |
| Dec 31, 2018 | 7.04 Mn |
| Dec 31, 2017 | 5.98 Mn |
| Dec 31, 2016 | 4.14 Mn |
API Access
Cellectis Accumulated Expenses 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=accumulated-expenses&ticker=CLLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CLLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();