Amphastar Pharmaceuticals (AMPH) Land & Improvements (2013 - 2015)
Amphastar Pharmaceuticals (AMPH) reported Land & Improvements of $6.91 million for Q2 2015, down 3.6% from $7.17 million a year earlier but up 0.3% from the prior quarter.
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Analysis
Amphastar Pharmaceuticals (AMPH) Land & Improvements (2013 - 2015) Analysis & Trends
At the end of FY2014, Amphastar Pharmaceuticals posted Land & Improvements of $7.02 million, up 20.9% from FY2013.
- By year, Land & Improvements came in at $5.81 million in FY2013.
- Five-year quarterly Land & Improvements spans a low of $5.81 million in Q4 2013 and a high of $7.17 million in Q2 2014.
- Per Business Quant data, the three quarters before Q2 2015 came in at $6.89 million (Q1 2015), $7.02 million (Q4 2014) and $7.07 million (Q3 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | - |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | - |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | - |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | - |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | - |
| 10 | Amphastar Pharmaceuticals | 1.25 Bn | 156.30 Mn | 99.63 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 6.91 Mn |
| Mar 31, 2015 | 6.89 Mn |
| Dec 31, 2014 | 7.02 Mn |
| Sep 30, 2014 | 7.07 Mn |
| Jun 30, 2014 | 7.17 Mn |
| Dec 31, 2013 | 5.81 Mn |
API Access
Amphastar Pharmaceuticals Land & Improvements 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=land-and-improvements&ticker=AMPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "AMPH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=AMPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();