Dr Reddys Laboratories (RDY) Times Interest Earned (2009 - 2026)
Dr Reddys Laboratories' (RDY) Times Interest Earned came in at 10.16 for fiscal Q2 2027 (quarter ended Sep 30, 2026), down 47.4% from 19.31 a year earlier but up 237.1% from the prior quarter.
Dr Reddys Laboratories (RDY) Times Interest Earned (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Times Interest Earned at Dr Reddys Laboratories was 7.16, down 67.8% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 13.52, down 47.0% from FY2025.
- Annual Times Interest Earned has declined for three consecutive fiscal years.
- In prior fiscal years, Dr Reddys Laboratories' Times Interest Earned was 25.52 in FY2025 (-34.1%), 38.71 in FY2024 (-5.3%), 40.88 in FY2023 (+36.6%) and 29.92 in FY2022 (+17.2%).
- Quarterly Times Interest Earned has run from a low of 1.25 in fiscal Q4 2026 to a high of 100.00 in fiscal Q2 2023 over five years.
- On a year-over-year basis, Times Interest Earned has declined in each of the last six quarters, with an average decline of 43.8% over the last eight quarters.
- The strongest year-over-year quarter for Times Interest Earned in the past five years was fiscal Q4 2023, with growth of 390.0%; the weakest was fiscal Q4 2026, with a decline of 95.3%.
- According to Business Quant data, Times Interest Earned for the three prior fiscal quarters was 3.02 (Q1 2027), 1.25 (Q4 2026) and 15.08 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (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 | 28.50 |
| 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 | 9.20 |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 5.68 |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 12.87 |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | - |
| 10 | Dr Reddys Laboratories | 12.40 Bn | 11.74 Bn | 472.93 Mn | 10.16 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.16 |
| Jun 30, 2026 | 3.02 |
| Mar 31, 2026 | 1.25 |
| Dec 31, 2025 | 15.08 |
| Sep 30, 2025 | 19.31 |
| Jun 30, 2025 | 21.05 |
| Mar 31, 2025 | 26.90 |
| Dec 31, 2024 | 22.89 |
| Sep 30, 2024 | 23.18 |
| Jun 30, 2024 | 29.97 |
| Mar 31, 2024 | 25.23 |
| Dec 31, 2023 | 43.82 |
| Sep 30, 2023 | 50.61 |
| Jun 30, 2023 | 47.61 |
| Mar 31, 2023 | 49.23 |
| Dec 31, 2022 | 29.66 |
| Sep 30, 2022 | 51.60 |
| Jun 30, 2022 | 43.33 |
| Mar 31, 2022 | 4.81 |
| Dec 31, 2021 | 26.14 |
Dr Reddys Laboratories Times Interest Earned 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=times-interest-earned&ticker=RDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=RDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();