Lexicon Pharmaceuticals (LXRX) Intangibles (2010 - 2020)
Lexicon Pharmaceuticals (LXRX) recorded Intangibles of $18.83 million in Q2 2020, down 61.7% from $49.24 million a year earlier and down 2.3% from the prior quarter.
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Analysis
Lexicon Pharmaceuticals (LXRX) Intangibles (2010 - 2020) Analysis & Trends
At the end of FY2019, Lexicon Pharmaceuticals reported Intangibles of $19.72 million, down 60.7% from FY2018.
- Annual Intangibles has declined for three straight years, with a five-year compound annual growth rate of -18.1% (FY2014 to FY2019).
- Across earlier years, Intangibles came in at $50.12 million in FY2018 (-3.4%), $51.89 million in FY2017 (-2.8%), $53.36 million in FY2016 (unchanged) and $53.36 million in FY2015 (unchanged).
- The Q2 2020 figure is the lowest quarterly Intangibles in data going back to Q4 2010.
- On a year-over-year basis, Intangibles has declined for nine consecutive quarters, with an average decline of 32.2% over the last eight quarters.
- Peak year-over-year performance for Intangibles in the last five years was growth of 108.3% in Q1 2018, against a decline of 61.7% in Q2 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $19.28 million (Q1 2020), $19.72 million (Q4 2019) and $20.16 million (Q3 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 18.08 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 46.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 56.65 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 24.48 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 11.80 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 38.15 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 19.54 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 13.42 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 45.96 Bn |
| 10 | Lexicon Pharmaceuticals | 831.26 Mn | 190.55 Mn | 11.17 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 18.83 Mn |
| Mar 31, 2020 | 19.28 Mn |
| Dec 31, 2019 | 19.72 Mn |
| Sep 30, 2019 | 20.16 Mn |
| Jun 30, 2019 | 49.24 Mn |
| Mar 31, 2019 | 49.68 Mn |
| Dec 31, 2018 | 50.12 Mn |
| Sep 30, 2018 | 50.56 Mn |
| Jun 30, 2018 | 51.00 Mn |
| Mar 31, 2018 | 51.44 Mn |
| Dec 31, 2017 | 51.89 Mn |
| Sep 30, 2017 | 52.33 Mn |
| Jun 30, 2017 | 52.77 Mn |
| Mar 31, 2017 | 24.70 Mn |
| Dec 31, 2016 | 53.36 Mn |
| Sep 30, 2016 | 53.36 Mn |
| Jun 30, 2016 | 53.36 Mn |
| Mar 31, 2016 | 53.36 Mn |
| Dec 31, 2015 | 53.36 Mn |
| Sep 30, 2015 | 53.36 Mn |
API Access
Lexicon Pharmaceuticals Intangibles 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=intangibles&ticker=LXRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=LXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();