Dr Reddys Laboratories (RDY) Amortization - Intangibles (2009 - 2014)
Dr Reddys Laboratories' Amortization - Intangibles came in at $9 million for the quarter ended Mar 31, 2014, down 18.2% from the prior quarter.
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Analysis
Dr Reddys Laboratories (RDY) Amortization - Intangibles (2009 - 2014) Analysis & Trends
Over the trailing twelve months to Mar 31, 2014, Dr Reddys Laboratories reported Amortization - Intangibles of $591 million.
- The five-year range for quarterly Amortization - Intangibles is $9 million (the quarter ended Mar 31, 2011) to $1.04 billion (the quarter ended Dec 31, 2011).
- Business Quant data shows RDY's Amortization - Intangibles at $11 million (quarter ended Dec 31, 2013), $9 million (quarter ended Sep 30, 2013) and $562 million (quarter ended Jun 30, 2013) in the three quarters before the quarter ended Mar 31, 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | Dr Reddys Laboratories | 10.53 Bn | 9.72 Bn | 396.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2014 | 9.00 Mn |
| Dec 31, 2013 | 11.00 Mn |
| Sep 30, 2013 | 9.00 Mn |
| Jun 30, 2013 | 562.00 Mn |
| Dec 31, 2012 | 19.00 Mn |
| Dec 31, 2011 | 1.04 Bn |
| Mar 31, 2011 | 9.00 Mn |
| Sep 30, 2010 | 77.00 Mn |
| Dec 31, 2009 | 70.00 Mn |
| Sep 30, 2009 | 74.00 Mn |
API Access
Dr Reddys Laboratories Amortization - 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=amortization-intangibles&ticker=RDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "RDY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();