Dr Reddys Laboratories (RDY) Non Operating Interest Expenses (2009 - 2026)
Dr Reddys Laboratories (RDY) posted Non Operating Interest Expenses of -$13.26 million for the quarter ended Jun 30, 2026, compared with -$9.7 million a year earlier.
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Analysis
Dr Reddys Laboratories (RDY) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at Dr Reddys Laboratories was $1.98 billion, up 215.1% year-over-year; for the year ended Mar 31, 2026, it came in at -$40 million.
- In prior years, Dr Reddys Laboratories' Non Operating Interest Expenses was -$33.47 million in the year ended Mar 31, 2025, -$21 million in the year ended Mar 31, 2024, -$17 million in the year ended Mar 31, 2023 and -$13 million in the year ended Mar 31, 2022.
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Non Operating Interest Expenses in data going back to the quarter ended Mar 31, 2009.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $1.06 billion (quarter ended Mar 31, 2026), $944 million (quarter ended Dec 31, 2025) and -$10.4 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 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 | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 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 | -13.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -13.26 Mn |
| Mar 31, 2026 | 1.06 Bn |
| Dec 31, 2025 | 944.00 Mn |
| Sep 30, 2025 | -10.40 Mn |
| Jun 30, 2025 | -9.70 Mn |
| Mar 31, 2025 | 656.00 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 |
| Sep 30, 2021 | -3.16 Mn |
API Access
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_KEYimport 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();