Xenon Pharmaceuticals (XENE) Operating Expenses (2013 - 2026)
Xenon Pharmaceuticals' Operating Expenses came in at $123.16 million for Q2 2026, up 30.7% from $94.23 million a year earlier and up 9.6% from the prior quarter.
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Analysis
Xenon Pharmaceuticals (XENE) Operating Expenses (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xenon Pharmaceuticals reported Operating Expenses of $441.59 million, up 35.6% year-over-year; for FY2025, it came in at $380.57 million, up 36.3% from FY2024.
- Operating Expenses has increased in each of the last 11 years, with a five-year compound annual growth rate of 43.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $279.3 million in FY2024 (+30.5%), $214.05 million in FY2023 (+54.5%), $138.58 million in FY2022 (+42.2%) and $97.43 million in FY2021 (+53.5%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q3 2013.
- Year-over-year, Operating Expenses has increased for 27 consecutive quarters, with growth averaging 36.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 20.4% in Q1 2024 to 87.7% in Q1 2023.
- Business Quant data shows XENE's Operating Expenses at $112.33 million (Q1 2026), $109.77 million (Q4 2025) and $96.34 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Xenon Pharmaceuticals | 3.60 Bn | 3.60 Bn | - | 123.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.16 Mn |
| Mar 31, 2026 | 112.33 Mn |
| Dec 31, 2025 | 109.77 Mn |
| Sep 30, 2025 | 96.34 Mn |
| Jun 30, 2025 | 94.23 Mn |
| Mar 31, 2025 | 80.24 Mn |
| Dec 31, 2024 | 77.48 Mn |
| Sep 30, 2024 | 73.68 Mn |
| Jun 30, 2024 | 69.10 Mn |
| Mar 31, 2024 | 59.04 Mn |
| Dec 31, 2023 | 53.70 Mn |
| Sep 30, 2023 | 55.68 Mn |
| Jun 30, 2023 | 55.62 Mn |
| Mar 31, 2023 | 49.05 Mn |
| Dec 31, 2022 | 43.33 Mn |
| Sep 30, 2022 | 38.26 Mn |
| Jun 30, 2022 | 30.85 Mn |
| Mar 31, 2022 | 26.14 Mn |
| Dec 31, 2021 | 28.58 Mn |
| Sep 30, 2021 | 23.72 Mn |
API Access
Xenon Pharmaceuticals Operating 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=operating-expenses&ticker=XENE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=XENE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();