Cellectis (CLLS) Treasury Stock (2014 - 2018)
Cellectis' Treasury Shares came in at $297,000 for Q4 2018, up 147.5% from $120,000 a year earlier and unchanged from the prior quarter.
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Analysis
Cellectis (CLLS) Treasury Stock (2014 - 2018) Analysis & Trends
Going back to Q4 2013, Cellectis' Treasury Shares data covers 18 quarters.
- Going back by year, Treasury Shares was -$297,000 in FY2017, -$416,000 in FY2016, $279,000 in FY2015 (-21.2%) and $354,000 in FY2014.
- Business Quant data shows CLLS's Treasury Shares at $297,000 (Q3 2018), -$587,000 (Q2 2018) and -$373,000 (Q1 2018) in the three quarters before Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Stock (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | -3.01 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 76.18 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 10.62 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 64.59 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | - |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | - |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.20 Bn |
| 10 | Cellectis | 111.38 Mn | -642.02 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | -587,000.00 |
| Mar 31, 2018 | -373,000.00 |
| Dec 31, 2017 | 297,000.00 |
| Sep 30, 2017 | -302,000.00 |
| Dec 31, 2016 | 416,000.00 |
| Dec 31, 2015 | 279,000.00 |
| Sep 30, 2015 | -382,701.89 |
| Jun 30, 2015 | -212,114.07 |
| Dec 31, 2014 | 354,000.00 |
API Access
Cellectis Treasury Stock 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=treasury-shares&ticker=CLLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=CLLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();