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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | - |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 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 | - |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | - |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Amphastar Pharmaceuticals | 1.10 Bn | -43.34 Mn | 93.47 Mn | - |
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 |
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_KEY
import 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();