Xenon Pharmaceuticals (XENE) Change in Accrued Expenses (2013 - 2026)
Xenon Pharmaceuticals (XENE) reported Change in Accrued Expenses of $5.72 million for Q2 2026, up 557.8% from $869,000 a year earlier.
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Analysis
Xenon Pharmaceuticals (XENE) Change in Accrued Expenses (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Xenon Pharmaceuticals' Change in Accrued Expenses came in at $12.34 million, up 732.7% year-over-year; for FY2025, it was $5.51 million, down 35.4% from FY2024.
- Change in Accrued Expenses has a five-year compound annual growth rate of 22.2% (FY2020 to FY2025).
- By year, Change in Accrued Expenses came in at $8.53 million in FY2024 (+117.0%), $3.93 million in FY2023 (-51.2%), $8.06 million in FY2022 (+171.4%) and $2.97 million in FY2021 (+46.9%).
- The Q2 2026 figure ranks as the highest quarterly Change in Accrued Expenses since Q4 2024.
- Year over year, Change in Accrued Expenses gained in two of the last four quarters, with growth averaging 146.9%.
- The high point for year-over-year Change in Accrued Expenses in five years was Q2 2026 (growth of 557.8%); the low point was Q2 2025 (a decline of 90.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$1.8 million (Q1 2026), $3.19 million (Q4 2025) and $5.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 983.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -87.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 756.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Xenon Pharmaceuticals | 4.07 Bn | 542.89 Mn | - | 499,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 499,000.00 |
| Jun 30, 2026 | 5.72 Mn |
| Mar 31, 2026 | -1.80 Mn |
| Dec 31, 2025 | 3.19 Mn |
| Sep 30, 2025 | 5.23 Mn |
| Jun 30, 2025 | 869,000.00 |
| Mar 31, 2025 | -3.78 Mn |
| Dec 31, 2024 | 6.18 Mn |
| Sep 30, 2024 | -1.79 Mn |
| Jun 30, 2024 | 9.15 Mn |
| Mar 31, 2024 | -5.02 Mn |
| Dec 31, 2023 | 2.30 Mn |
| Sep 30, 2023 | -3.36 Mn |
| Jun 30, 2023 | 5.58 Mn |
| Mar 31, 2023 | -594,000.00 |
| Dec 31, 2022 | 6.02 Mn |
| Sep 30, 2022 | 2.06 Mn |
| Jun 30, 2022 | 5.79 Mn |
| Mar 31, 2022 | -5.80 Mn |
| Dec 31, 2021 | 3.76 Mn |
API Access
Xenon Pharmaceuticals Change in Accrued 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=change-in-accured-expenses&ticker=XENE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=XENE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();