Dr Reddys Laboratories (RDY) Change in Property, Plant and Equipment (2009 - 2026)
Dr Reddys Laboratories (RDY) reported Change in Property, Plant and Equipment of $31.88 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), down 47.9% from $61.14 million a year earlier and down 20.2% from the prior quarter.
Dr Reddys Laboratories (RDY) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Dr Reddys Laboratories' Change in Property, Plant and Equipment came in at -$315.53 million; for FY2026 (ended Mar 31, 2026), it came in at -$260.78 million.
- By fiscal year, Change in Property, Plant and Equipment came in at -$316 million in FY2025, -$184 million in FY2024, -$137 million in FY2023 and -$188 million in FY2022.
- Five-year quarterly Change in Property, Plant and Equipment spans a low of -$387.36 million in fiscal Q4 2026 and a high of $92.49 million in fiscal Q2 2025.
- Year over year, Change in Property, Plant and Equipment gained in 1 of the last four quarters, with an average decline of 26.4%.
- The high point for year-over-year Change in Property, Plant and Equipment in five years was fiscal Q2 2025 (growth of 84.2%); the low point was fiscal Q1 2027 (a decline of 50.4%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $39.95 million (Q1 2027), -$387.36 million (Q4 2026) and $80.49 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | -3.18 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | -1.37 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | -301.00 Mn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | -1.04 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 3.30 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | -587.00 Mn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | -237.00 Mn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | -573.00 Mn |
| 10 | Dr Reddys Laboratories | 12.52 Bn | 11.86 Bn | 472.93 Mn | 31.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 31.88 Mn |
| Jun 30, 2026 | 39.95 Mn |
| Mar 31, 2026 | -387.36 Mn |
| Dec 31, 2025 | 80.49 |
| Sep 30, 2025 | 61.14 Mn |
| Jun 30, 2025 | 80.54 Mn |
| Sep 30, 2024 | 92.49 Mn |
| Jun 30, 2024 | 63.65 Mn |
| Mar 31, 2024 | -331.25 Mn |
| Dec 31, 2023 | 52.36 Mn |
| Sep 30, 2023 | 50.23 Mn |
| Jun 30, 2023 | 44.52 Mn |
| Mar 31, 2023 | -243.76 Mn |
| Dec 31, 2022 | 35.72 Mn |
| Sep 30, 2022 | 29.85 Mn |
| Jun 30, 2022 | 45.18 Mn |
| Mar 31, 2022 | -337.80 Mn |
| Dec 31, 2021 | 55.72 Mn |
| Sep 30, 2021 | 49.77 Mn |
| Jun 30, 2021 | 44.04 Mn |
Dr Reddys Laboratories Change in Property, Plant and Equipment 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-property-plant-and-equipment&ticker=RDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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-property-plant-and-equipment&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();