Takeda Pharmaceutical (TAK) Non Operating Interest Expenses (2017 - 2026)
Takeda Pharmaceutical (TAK) recorded Non Operating Interest Expenses of -$400.56 million in the quarter ended Jun 30, 2026, compared with -$740.58 million a year earlier.
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Analysis
Takeda Pharmaceutical (TAK) Non Operating Interest Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Takeda Pharmaceutical's Non Operating Interest Expenses came in at -$3.57 billion as of Jun 30, 2026; for the year ended Mar 31, 2026, it came in at -$2.38 billion.
- Across earlier years, Non Operating Interest Expenses came in at -$1.38 billion in the year ended Mar 31, 2025, -$1.52 billion in the year ended Mar 31, 2024, -$1.26 billion in the year ended Mar 31, 2023 and -$1.48 billion in the year ended Mar 31, 2022.
- Quarterly Non Operating Interest Expenses has ranged from -$2.13 billion in the quarter ended Sep 30, 2025 to -$330.86 million in the quarter ended Dec 31, 2024 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$683.57 million (quarter ended Mar 31, 2026), -$352.84 million (quarter ended Dec 31, 2025) and -$2.13 billion (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 | Takeda Pharmaceutical | 2.63 Bn | -23.88 Bn | 5.10 Bn | -400.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -400.56 Mn |
| Mar 31, 2026 | -683.57 Mn |
| Dec 31, 2025 | -352.84 Mn |
| Sep 30, 2025 | -2.13 Bn |
| Jun 30, 2025 | -740.58 Mn |
| Mar 31, 2025 | -702.65 Mn |
| Dec 31, 2024 | -330.86 Mn |
| Sep 30, 2024 | -1.16 Bn |
| Jun 30, 2024 | -383.45 Mn |
| Mar 31, 2024 | -402.84 Mn |
| Dec 31, 2023 | -332.85 Mn |
| Sep 30, 2023 | -1.20 Bn |
| Jun 30, 2023 | -434.71 Mn |
| Mar 31, 2023 | -450.57 Mn |
| Dec 31, 2022 | -564.49 Mn |
| Sep 30, 2022 | -389.56 Mn |
| Jun 30, 2022 | -428.91 Mn |
| Jun 30, 2021 | -649.21 Mn |
| Mar 31, 2021 | -710.85 Mn |
| Dec 31, 2020 | -599.75 Mn |
API Access
Takeda Pharmaceutical 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=TAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();