Dr Reddys Laboratories (RDY) Depreciation & Amortization (CF) (2009 - 2026)
Dr Reddys Laboratories' Depreciation & Amortization (CF) came in at $56.74 million for the quarter ended Jun 30, 2026, up 1.9% from $55.68 million a year earlier.
Dr Reddys Laboratories (RDY) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Dr Reddys Laboratories reported Depreciation & Amortization (CF) of $217.58 million, up 12.5% year-over-year; for the year ended Mar 31, 2026, it was $220 million, up 10.0% from the prior year.
- Depreciation & Amortization (CF) has increased in each of the last three years, with a five-year compound annual growth rate of 4.7% (years ended Mar 2021 to Mar 2026).
- Going back by year, Depreciation & Amortization (CF) was $200 million in the year ended Mar 31, 2025 (+12.4%), $178 million in the year ended Mar 31, 2024 (+15.6%), $154 million in the year ended Mar 31, 2023 (-1.3%) and $156 million in the year ended Mar 31, 2022 (-10.9%).
- The five-year range for quarterly Depreciation & Amortization (CF) is $38.79 million (the quarter ended Mar 31, 2023) to $57.81 million (the quarter ended Sep 30, 2025).
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in the quarter ended Sep 30, 2025 (growth of 22.1%), and the weakest in the quarter ended Mar 31, 2022 (a decline of 9.5%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.96 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 194.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 599.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.93 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 98.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 1.62 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 56.50 Mn |
| 10 | Dr Reddys Laboratories | 10.53 Bn | 9.72 Bn | 396.53 Mn | 56.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.74 Mn |
| Sep 30, 2025 | 57.81 Mn |
| Jun 30, 2025 | 55.68 Mn |
| Sep 30, 2024 | 47.35 Mn |
| Jun 30, 2024 | 45.67 Mn |
| Mar 31, 2024 | 44.71 Mn |
| Dec 31, 2023 | 45.28 Mn |
| Sep 30, 2023 | 45.84 Mn |
| Jun 30, 2023 | 43.44 Mn |
| Mar 31, 2023 | 38.79 Mn |
| Dec 31, 2022 | 39.84 Mn |
| Sep 30, 2022 | 39.21 Mn |
| Jun 30, 2022 | 39.55 Mn |
| Mar 31, 2022 | 39.34 Mn |
| Dec 31, 2021 | 39.72 Mn |
| Sep 30, 2021 | 40.29 Mn |
| Jun 30, 2021 | 39.40 Mn |
| Mar 31, 2021 | 43.46 Mn |
| Dec 31, 2020 | 43.54 Mn |
| Sep 30, 2020 | 43.92 Mn |
Dr Reddys Laboratories Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=RDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();