Xencor (XNCR) Operating Expenses (2013 - 2026)
Xencor (XNCR) posted Operating Expenses of $88.29 million for Q2 2026, up 15.0% from $76.78 million a year earlier and up 7.2% from the prior quarter.
Powered by 
Analysis
Xencor (XNCR) Operating Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Xencor was $321.05 million, up 10.1% year-over-year; for FY2025, it was $303.08 million, up 4.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- In prior years, Xencor's Operating Expenses was $288.9 million in FY2024 (-5.9%), $306.98 million in FY2023 (+24.3%), $247.05 million in FY2022 (+6.8%) and $231.34 million in FY2021 (+16.0%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2013.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 2.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2023, with growth of 32.7%; the weakest was Q4 2024, with a decline of 17.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $82.38 million (Q1 2026), $81.87 million (Q4 2025) and $68.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,170.46 Bn | 1,139.04 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 648.38 Bn | 568.24 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 504.43 Bn | 477.54 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 367.73 Bn | 322.11 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 303.35 Bn | 267.34 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 268.20 Bn | 241.88 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 242.55 Bn | 197.95 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.80 Bn | 169.00 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 173.31 Bn | 119.95 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Xencor | 1.97 Bn | 382.82 Mn | - | 88.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.29 Mn |
| Mar 31, 2026 | 82.38 Mn |
| Dec 31, 2025 | 81.87 Mn |
| Sep 30, 2025 | 68.52 Mn |
| Jun 30, 2025 | 76.78 Mn |
| Mar 31, 2025 | 75.92 Mn |
| Dec 31, 2024 | 65.97 Mn |
| Sep 30, 2024 | 72.99 Mn |
| Jun 30, 2024 | 79.28 Mn |
| Mar 31, 2024 | 70.66 Mn |
| Dec 31, 2023 | 79.70 Mn |
| Sep 30, 2023 | 77.43 Mn |
| Jun 30, 2023 | 71.52 Mn |
| Mar 31, 2023 | 78.33 Mn |
| Dec 31, 2022 | 64.20 Mn |
| Sep 30, 2022 | 65.65 Mn |
| Jun 30, 2022 | 58.18 Mn |
| Mar 31, 2022 | 59.03 Mn |
| Dec 31, 2021 | 62.36 Mn |
| Sep 30, 2021 | 60.98 Mn |
API Access
Xencor 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=XNCR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=XNCR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();