Arrowhead Pharmaceuticals (ARWR) Operating Leases (2019 - 2026)
Arrowhead Pharmaceuticals (ARWR) posted Operating Leases of $114.3 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 8.1% from $105.69 million a year earlier and up 14.2% from the prior quarter.
Arrowhead Pharmaceuticals (ARWR) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Arrowhead Pharmaceuticals' Operating Leases came in at $104.11 million, down 6.2% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of 39.0% (FY2020 to FY2025).
- In prior fiscal years, Arrowhead Pharmaceuticals' Operating Leases was $111.03 million in FY2024 (+6.1%), $104.61 million in FY2023 (+32.8%), $78.8 million in FY2022 (+238.3%) and $23.3 million in FY2021 (+16.2%).
- The fiscal Q3 2026 figure stands as the highest quarterly Operating Leases since fiscal Q1 2024.
- On a year-over-year basis, Operating Leases increased in two of the last eight quarters, with an average decline of 2.7%.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q1 2023, with growth of 253.4%; the weakest was fiscal Q2 2026, with a decline of 6.9%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $100.11 million (Q2 2026), $102.13 million (Q1 2026) and $104.11 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Arrowhead Pharmaceuticals | 9.24 Bn | 4.02 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.30 Mn |
| Mar 31, 2026 | 100.11 Mn |
| Dec 31, 2025 | 102.13 Mn |
| Sep 30, 2025 | 104.11 Mn |
| Jun 30, 2025 | 105.69 Mn |
| Mar 31, 2025 | 107.53 Mn |
| Dec 31, 2024 | 109.30 Mn |
| Sep 30, 2024 | 111.03 Mn |
| Jun 30, 2024 | 112.04 Mn |
| Mar 31, 2024 | 113.63 Mn |
| Dec 31, 2023 | 115.16 Mn |
| Sep 30, 2023 | 104.61 Mn |
| Jun 30, 2023 | 79.91 Mn |
| Mar 31, 2023 | 80.07 Mn |
| Dec 31, 2022 | 79.47 Mn |
| Sep 30, 2022 | 78.80 Mn |
| Jun 30, 2022 | 78.23 Mn |
| Mar 31, 2022 | 22.70 Mn |
| Dec 31, 2021 | 22.49 Mn |
| Sep 30, 2021 | 23.30 Mn |
Arrowhead Pharmaceuticals Operating Leases 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=operating-leases&ticker=ARWR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=ARWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();