Takeda Pharmaceutical (TAK) Times Interest Earned (2017 - 2026)
Takeda Pharmaceutical's (TAK) Times Interest Earned stood at 3.15 in the quarter ended Jun 30, 2026, up 83.2% from 1.72 a year earlier and up 67.9% from the prior quarter.
Takeda Pharmaceutical (TAK) Times Interest Earned (2017 - 2026) Analysis & Trends
On a TTM basis, Takeda Pharmaceutical's Times Interest Earned came in at 0.76 as of Jun 30, 2026, down 53.5% year-over-year; for the year ended Mar 31, 2026, it was 0.02, down 98.9% from the prior year.
- Across earlier years, Times Interest Earned came in at 1.63 in the year ended Mar 31, 2025 (+67.5%), 0.97 in the year ended Mar 31, 2024 (-66.3%), 2.89 in the year ended Mar 31, 2023 (+4.5%) and 2.77 in the year ended Mar 31, 2022 (+35.0%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Times Interest Earned since the quarter ended Mar 31, 2021.
- On a year-over-year basis, Times Interest Earned rose in three of the last six quarters, with an average decline of 4.2%.
- Peak year-over-year performance for Times Interest Earned in the last five years was growth of 83.2% in the quarter ended Jun 30, 2026, against a decline of 44.3% in the quarter ended Sep 30, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 1.88 (quarter ended Mar 31, 2026), -7.66 (quarter ended Dec 31, 2025) and 1.35 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.41 |
| 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 | 10.28 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 7.27 |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 5.22 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -42.08 |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Takeda Pharmaceutical | 2.63 Bn | -23.88 Bn | 5.10 Bn | 3.15 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.15 |
| Mar 31, 2026 | 1.88 |
| Dec 31, 2025 | -7.66 |
| Sep 30, 2025 | 1.35 |
| Jun 30, 2025 | 1.72 |
| Mar 31, 2025 | 1.72 |
| Dec 31, 2024 | -1.49 |
| Sep 30, 2024 | 2.42 |
| Jun 30, 2024 | 2.79 |
| Mar 31, 2024 | 2.82 |
| Dec 31, 2023 | 1.80 |
| Sep 30, 2023 | 2.33 |
| Jun 30, 2023 | 2.83 |
| Mar 31, 2023 | 2.83 |
| Dec 31, 2022 | 1.84 |
| Sep 30, 2022 | 1.94 |
| Jun 30, 2022 | 2.71 |
| Jun 30, 2021 | 3.50 |
| Mar 31, 2021 | 3.30 |
| Dec 31, 2020 | 2.28 |
Takeda Pharmaceutical 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=TAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "TAK", "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=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();