Arrowhead Pharmaceuticals (ARWR) Non Operating Interest Expenses (2022 - 2026)
Arrowhead Pharmaceuticals' Non Operating Interest Expenses came in at $24.56 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.7% from $24.38 million a year earlier and up 3.0% from the prior quarter.
Arrowhead Pharmaceuticals (ARWR) Non Operating Interest Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Arrowhead Pharmaceuticals reported Non Operating Interest Expenses of $92.61 million, up 12.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $89.36 million, up 176.2% from FY2024.
- Going back by fiscal year, Non Operating Interest Expenses was $32.35 million in FY2024 (+76.5%) and $18.33 million in FY2023.
- The fiscal Q3 2026 figure represents the highest quarterly Non Operating Interest Expenses in data going back to fiscal Q1 2023.
- Year-over-year, Non Operating Interest Expenses has increased for eight consecutive quarters, with growth averaging 140.3% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in fiscal Q3 2025 (growth of 378.6%), and the weakest in fiscal Q3 2024 (a decline of 1.2%).
- Business Quant data shows ARWR's Non Operating Interest Expenses at $23.85 million (Q2 2026), $22.51 million (Q1 2026) and $21.69 million (Q4 2025) in the three fiscal quarters before Q3 2026.
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 | Arrowhead Pharmaceuticals | 9.24 Bn | 4.02 Bn | - | 24.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.56 Mn |
| Mar 31, 2026 | 23.85 Mn |
| Dec 31, 2025 | 22.51 Mn |
| Sep 30, 2025 | 21.69 Mn |
| Jun 30, 2025 | 24.38 Mn |
| Mar 31, 2025 | 21.64 Mn |
| Dec 31, 2024 | 21.65 Mn |
| Sep 30, 2024 | 14.65 Mn |
| Jun 30, 2024 | 5.09 Mn |
| Mar 31, 2024 | 7.24 Mn |
| Dec 31, 2023 | 5.37 Mn |
| Sep 30, 2023 | 5.26 Mn |
| Jun 30, 2023 | 5.16 Mn |
| Mar 31, 2023 | 5.06 Mn |
| Dec 31, 2022 | 2.85 Mn |
Arrowhead Pharmaceuticals 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=ARWR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "ARWR", "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=ARWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();