SELLAS Life Sciences (SLS) Change in Receivables (2013 - 2022)
SELLAS Life Sciences' Change in Receivables came in at $1 million for Q1 2022.
Analysis
SELLAS Life Sciences (SLS) Change in Receivables (2013 - 2022) Analysis & Trends
For FY2014, SELLAS Life Sciences' Change in Receivables was -$1.64 million.
- Going back by year, Change in Receivables was $3.68 million in FY2013.
- The Q1 2022 figure represents the highest quarterly Change in Receivables since Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.35 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.37 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 | 1.09 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 333.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 140.20 Mn |
| 10 | SELLAS Life Sciences | 2.49 Bn | 2.49 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 1.00 Mn |
| Jun 30, 2015 | 758,000.00 |
| Mar 31, 2015 | -779,000.00 |
| Dec 31, 2014 | 604,000.00 |
| Sep 30, 2014 | -717,000.00 |
| Jun 30, 2014 | 686,000.00 |
| Mar 31, 2014 | -2.22 Mn |
| Dec 31, 2013 | 2.14 Mn |
| Sep 30, 2013 | 1.54 Mn |
API Access
SELLAS Life Sciences Change in Receivables 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=change-in-receivables&ticker=SLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "ticker": "SLS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-receivables&ticker=SLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();