Xenon Pharmaceuticals (XENE) Non-Current Assets (2013 - 2026)
Xenon Pharmaceuticals' Non-Current Assets was $349.9 million in Q2 2026, up 101.1% from $174.03 million a year earlier and up 24.9% from the prior quarter.
Xenon Pharmaceuticals (XENE) Non-Current Assets (2013 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Xenon Pharmaceuticals came in at $72.51 million, down 55.5% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 57.8% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $162.88 million in FY2024 (-49.1%), $319.84 million in FY2023 (+107.9%), $153.85 million in FY2022 and $12.99 million in FY2021 (+75.4%).
- The Q2 2026 figure marks the highest quarterly Non-Current Assets in data going back to Q4 2013.
- Compared with a year earlier, Non-Current Assets was higher in four of the last eight quarters, with growth averaging 6.0%.
- The best year-over-year quarter for Non-Current Assets over five years was Q4 2023 (growth of 107.9%); the worst was Q4 2025 (a decline of 55.5%).
- Per Business Quant data, XENE's Non-Current Assets in the three quarters before Q2 2026 was $280.18 million (Q1 2026), $72.51 million (Q4 2025) and $127.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Xenon Pharmaceuticals | 3.55 Bn | 3.55 Bn | - | 349.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 349.90 Mn |
| Mar 31, 2026 | 280.18 Mn |
| Dec 31, 2025 | 72.51 Mn |
| Sep 30, 2025 | 127.70 Mn |
| Jun 30, 2025 | 174.03 Mn |
| Mar 31, 2025 | 177.74 Mn |
| Dec 31, 2024 | 162.88 Mn |
| Sep 30, 2024 | 176.26 Mn |
| Jun 30, 2024 | 155.92 Mn |
| Mar 31, 2024 | 211.82 Mn |
| Dec 31, 2023 | 319.84 Mn |
| Sep 30, 2023 | 140.09 Mn |
| Jun 30, 2023 | 140.28 Mn |
| Mar 31, 2023 | 186.52 Mn |
| Dec 31, 2022 | 153.85 Mn |
| Sep 30, 2022 | 126.64 Mn |
| Jun 30, 2022 | 12.58 Mn |
| Mar 31, 2022 | 12.44 Mn |
| Dec 31, 2021 | 12.99 Mn |
| Sep 30, 2021 | 8.04 Mn |
Xenon Pharmaceuticals Non-Current Assets 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-current-assets&ticker=XENE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "XENE", "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-current-assets&ticker=XENE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();