Lexicon Pharmaceuticals (LXRX) Gains from Sales and Divestitures (2009 - 2020)
Lexicon Pharmaceuticals (LXRX) recorded Gains from Sales and Divestitures of -$3,000 in FY2022, compared with -$49,000 in FY2021.
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Analysis
Lexicon Pharmaceuticals (LXRX) Gains from Sales and Divestitures (2009 - 2020) Analysis & Trends
Starting with FY2014, Lexicon Pharmaceuticals' Gains from Sales and Divestitures history includes 7 years.
- Per Business Quant data, LXRX's Gains from Sales and Divestitures was -$49,000 in FY2021 and $707,000 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 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 |
| 10 | Lexicon Pharmaceuticals | 831.26 Mn | 190.55 Mn | 11.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 133.53 Mn |
| Dec 31, 2017 | -1,000.00 |
| Jun 30, 2017 | -2,000.00 |
| Dec 31, 2016 | -4,000.00 |
| Sep 30, 2016 | -24,000.00 |
| Mar 31, 2016 | 12,000.00 |
| Dec 31, 2015 | 94,000.00 |
| Sep 30, 2015 | 12,000.00 |
| Jun 30, 2015 | -65,000.00 |
| Mar 31, 2015 | 6,000.00 |
| Dec 31, 2014 | 2.44 Mn |
| Sep 30, 2014 | -78,000.00 |
| Jun 30, 2014 | -469,000.00 |
| Mar 31, 2014 | -264,000.00 |
| Sep 30, 2011 | 79,000.00 |
| Jun 30, 2011 | 46,000.00 |
| Mar 31, 2011 | -31,000.00 |
| Sep 30, 2010 | -62,000.00 |
| Sep 30, 2009 | -19,000.00 |
| Jun 30, 2009 | 2,000.00 |
API Access
Lexicon Pharmaceuticals Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=LXRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "ticker": "LXRX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=gains-from-sales-and-divestitures&ticker=LXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();