Dr Reddys Laboratories (RDY) Change in Acquisitions & Divestments (2009 - 2011)
Dr Reddys Laboratories' Change in Acquisitions & Divestments was $1.56 billion in the year ended Mar 31, 2024, up 10.7% from $1.41 billion a year earlier.
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Analysis
Dr Reddys Laboratories (RDY) Change in Acquisitions & Divestments (2009 - 2011) Analysis & Trends
From the year ended Mar 31, 2019 onward, Dr Reddys Laboratories has reported Change in Acquisitions & Divestments for 6 years.
- The figure for the year ended Mar 31, 2024 marks the highest annual Change in Acquisitions & Divestments in data going back to the year ended Mar 31, 2019.
- Per Business Quant data, Change in Acquisitions & Divestments in earlier years was $1.41 billion in the year ended Mar 31, 2023 (+34.7%), $1.04 billion in the year ended Mar 31, 2022, -$935.5 million in the year ended Mar 31, 2021 and -$1.58 billion in the year ended Mar 31, 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Dr Reddys Laboratories | 10.22 Bn | 9.41 Bn | 396.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2011 | -122.30 Mn |
| Sep 30, 2010 | -92.90 Mn |
| Jun 30, 2010 | -91.71 Mn |
| Dec 31, 2009 | -109.52 Mn |
| Sep 30, 2009 | -156.89 Mn |
| Jun 30, 2009 | -104.00 Mn |
API Access
Dr Reddys Laboratories Change in Acquisitions & Divestments 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=change-in-acquisitions-and-divestments&ticker=RDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-acquisitions-and-divestments", "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=change-in-acquisitions-and-divestments&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();