Xencor (XNCR) Change in Accured Expenses (2013 - 2026)
Xencor (XNCR) posted Change in Accured Expenses of $2.18 million for Q2 2026, down 62.4% from $5.79 million a year earlier.
Xencor (XNCR) Change in Accured Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Xencor was $12.64 million, up 451.5% year-over-year; for FY2025, it was $13.8 million.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- In prior years, Xencor's Change in Accured Expenses was -$4.35 million in FY2024, $4.84 million in FY2023, -$715,000 in FY2022 and $1.84 million in FY2021 (-78.6%).
- Quarterly Change in Accured Expenses has run from a low of -$10.07 million in Q1 2024 to a high of $6.94 million in Q4 2025 over five years.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q3 2021, with growth of 114.9%; the weakest was Q2 2026, with a decline of 62.4%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$707,000 (Q1 2026), $6.94 million (Q4 2025) and $4.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Xencor | 1.85 Bn | 262.13 Mn | - | 2.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.18 Mn |
| Mar 31, 2026 | -707,000.00 |
| Dec 31, 2025 | 6.94 Mn |
| Sep 30, 2025 | 4.22 Mn |
| Jun 30, 2025 | 5.79 Mn |
| Mar 31, 2025 | -3.15 Mn |
| Dec 31, 2024 | -6.19 Mn |
| Sep 30, 2024 | 5.85 Mn |
| Jun 30, 2024 | 6.07 Mn |
| Mar 31, 2024 | -10.07 Mn |
| Dec 31, 2023 | -908,000.00 |
| Sep 30, 2023 | 6.03 Mn |
| Jun 30, 2023 | 3.30 Mn |
| Mar 31, 2023 | -3.59 Mn |
| Dec 31, 2022 | -561,000.00 |
| Sep 30, 2022 | 2.94 Mn |
| Jun 30, 2022 | 3.74 Mn |
| Mar 31, 2022 | -6.83 Mn |
| Dec 31, 2021 | -2.67 Mn |
| Sep 30, 2021 | 4.78 Mn |
Xencor Change in Accured 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=XNCR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "XNCR", "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=XNCR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();