Xenon Pharmaceuticals (XENE) Total Liabilities (2013 - 2026)
Xenon Pharmaceuticals (XENE) posted Total Liabilities of $53.38 million for Q2 2026, up 32.4% from $40.3 million a year earlier and up 9.0% from the prior quarter.
Xenon Pharmaceuticals (XENE) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Xenon Pharmaceuticals' Total Liabilities came in at $51.4 million, up 18.9% from FY2024.
- Annual Total Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 23.6% (FY2020 to FY2025).
- In prior years, Xenon Pharmaceuticals' Total Liabilities was $43.24 million in FY2024 (+17.2%), $36.88 million in FY2023 (+12.9%), $32.65 million in FY2022 (+48.6%) and $21.97 million in FY2021 (+23.2%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q4 2019.
- On a year-over-year basis, Total Liabilities has increased in each of the last nine quarters, with growth averaging 19.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2023, with growth of 103.2%; the weakest was Q3 2021, with a decline of 9.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $48.99 million (Q1 2026), $51.4 million (Q4 2025) and $48.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Xenon Pharmaceuticals | 3.55 Bn | 3.55 Bn | - | 53.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.38 Mn |
| Mar 31, 2026 | 48.99 Mn |
| Dec 31, 2025 | 51.40 Mn |
| Sep 30, 2025 | 48.33 Mn |
| Jun 30, 2025 | 40.30 Mn |
| Mar 31, 2025 | 39.32 Mn |
| Dec 31, 2024 | 43.24 Mn |
| Sep 30, 2024 | 38.09 Mn |
| Jun 30, 2024 | 39.96 Mn |
| Mar 31, 2024 | 31.33 Mn |
| Dec 31, 2023 | 36.88 Mn |
| Sep 30, 2023 | 34.50 Mn |
| Jun 30, 2023 | 38.44 Mn |
| Mar 31, 2023 | 32.92 Mn |
| Dec 31, 2022 | 32.65 Mn |
| Sep 30, 2022 | 22.69 Mn |
| Jun 30, 2022 | 21.59 Mn |
| Mar 31, 2022 | 16.21 Mn |
| Dec 31, 2021 | 21.97 Mn |
| Sep 30, 2021 | 15.41 Mn |
Xenon Pharmaceuticals Total Liabilities 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=total-liabilities&ticker=XENE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=XENE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();