Cellectis (CLLS) Other financing activities (2017 - 2026)
Cellectis' Other financing activities came in at $349.05 million for FY2015, up 133.7% from $149.34 million in FY2014.
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Analysis
Cellectis (CLLS) Other financing activities (2017 - 2026) Analysis & Trends
- Per Business Quant, earlier years put Other financing activities at $149.34 million in FY2014 and $10.04 million in FY2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Cellectis | 98.28 Mn | -655.11 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.95 Mn |
| Mar 31, 2026 | -3.44 Mn |
| Dec 31, 2025 | -2.68 Mn |
| Sep 30, 2025 | -2.71 Mn |
| Jun 30, 2025 | -2.73 Mn |
| Mar 31, 2025 | -2.69 Mn |
| Dec 31, 2024 | -2.70 Mn |
| Sep 30, 2024 | -2.75 Mn |
| Jun 30, 2024 | -2.80 Mn |
| Mar 31, 2024 | -2.81 Mn |
| Dec 31, 2023 | -971,000.00 |
| Sep 30, 2023 | -4.56 Mn |
| Jun 30, 2023 | -1.00 Mn |
| Mar 31, 2023 | -2.77 Mn |
| Dec 31, 2022 | 5.99 Mn |
| Sep 30, 2022 | -12.86 Mn |
| Jun 30, 2022 | 7.33 Mn |
| Mar 31, 2022 | -2.81 Mn |
| Dec 31, 2021 | 1.10 Mn |
| Sep 30, 2021 | -3.11 Mn |
API Access
Cellectis Other financing activities 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=other-financing-activities&ticker=CLLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-financing-activities", "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=other-financing-activities&ticker=CLLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();