Dr Reddys Laboratories (RDY) Non Operating Interest Expenses (2009 - 2026)
Dr Reddys Laboratories (RDY) posted Non Operating Interest Expenses of -$13.06 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), compared with -$10.4 million a year earlier.
Dr Reddys Laboratories (RDY) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Non Operating Interest Expenses at Dr Reddys Laboratories was -$48.48 million; for FY2026 (ended Mar 31, 2026), it came in at $40 million, up 21.2% from FY2025.
- Annual Non Operating Interest Expenses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 25.2% (FY2021 to FY2026).
- In prior fiscal years, Dr Reddys Laboratories' Non Operating Interest Expenses was $33 million in FY2025 (+57.1%), $21 million in FY2024 (+23.5%), $17 million in FY2023 (+30.8%) and $13 million in FY2022 (unchanged).
- Quarterly Non Operating Interest Expenses has run from a low of -$15 million in fiscal Q1 2024 to a high of $2 million in fiscal Q2 2023 over five years.
- According to Business Quant data, Non Operating Interest Expenses for the three prior fiscal quarters was -$13.26 million (Q1 2027), -$11.56 million (Q4 2026) and -$10.6 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | - |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | -477.00 Mn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | - |
| 10 | Dr Reddys Laboratories | 12.40 Bn | 11.74 Bn | 472.93 Mn | -13.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -13.06 Mn |
| Jun 30, 2026 | -13.26 Mn |
| Mar 31, 2026 | -11.56 Mn |
| Dec 31, 2025 | -10.60 Mn |
| Sep 30, 2025 | -10.40 Mn |
| Jun 30, 2025 | -9.70 Mn |
| Mar 31, 2025 | -7.58 Mn |
| Dec 31, 2024 | -9.69 Mn |
| Sep 30, 2024 | -9.04 Mn |
| Jun 30, 2024 | -7.17 Mn |
| Mar 31, 2024 | -7.14 Mn |
| Dec 31, 2023 | -4.73 Mn |
| Sep 30, 2023 | -4.27 Mn |
| Jun 30, 2023 | -4.52 Mn |
| Mar 31, 2023 | 4.31 Mn |
| Dec 31, 2022 | -5.09 Mn |
| Sep 30, 2022 | -3.88 Mn |
| Jun 30, 2022 | -4.50 Mn |
| Mar 31, 2022 | -4.20 Mn |
| Dec 31, 2021 | -2.87 Mn |
Dr Reddys Laboratories Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=RDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();